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https://api.github.com/repos/huggingface/datasets/issues/7509 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7509/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7509/comments | https://api.github.com/repos/huggingface/datasets/issues/7509/events | https://github.com/huggingface/datasets/issues/7509 | 2,991,484,542 | I_kwDODunzps6yTm5- | 7,509 | Dataset uses excessive memory when loading files | {
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"small update: I converted the jsons to parquet and it now works well with 32 proc and the same node. \nI still think this needs to be understood, since json is a very popular and easy-to-use format. ",
"Hi ! The JSON loader loads full files in memory, unless they are JSON Lines. In this case it iterates on the J... | 2025-04-13T21:09:49Z | 2025-04-28T15:18:55Z | null | NONE | null | null | null | null | ### Describe the bug
Hi
I am having an issue when loading a dataset.
I have about 200 json files each about 1GB (total about 215GB). each row has a few features which are a list of ints.
I am trying to load the dataset using `load_dataset`.
The dataset is about 1.5M samples
I use `num_proc=32` and a node with 378GB of... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7508 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7508/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7508/comments | https://api.github.com/repos/huggingface/datasets/issues/7508/events | https://github.com/huggingface/datasets/issues/7508 | 2,986,612,934 | I_kwDODunzps6yBBjG | 7,508 | Iterating over Image feature columns is extremely slow | {
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"Hi ! Could it be because the `Image()` type in dataset does `image = Image.open(image_path)` and also `image.load()` which actually loads the image data in memory ? This is needed to avoid too many open files issues, see https://github.com/huggingface/datasets/issues/3985",
"Yes, that seems to be it. For my pur... | 2025-04-10T19:00:54Z | 2025-04-15T17:57:08Z | null | NONE | null | null | null | null | We are trying to load datasets where the image column stores `PIL.PngImagePlugin.PngImageFile` images. However, iterating over these datasets is extremely slow.
What I have found:
1. It is the presence of the image column that causes the slowdown. Removing the column from the dataset results in blazingly fast (as expe... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7507 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7507/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7507/comments | https://api.github.com/repos/huggingface/datasets/issues/7507/events | https://github.com/huggingface/datasets/issues/7507 | 2,984,309,806 | I_kwDODunzps6x4PQu | 7,507 | Front-end statistical data quantity deviation | {
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"Hi ! the format of this dataset is not supported by the Dataset Viewer. It looks like this dataset was saved using `save_to_disk()` which is meant for local storage / easy reload without compression, not for sharing online."
] | 2025-04-10T02:51:38Z | 2025-04-15T12:54:51Z | null | NONE | null | null | null | null | ### Describe the bug
While browsing the dataset at https://huggingface.co/datasets/NeuML/wikipedia-20250123, I noticed that a dataset with nearly 7M entries was estimated to be only 4M in size—almost half the actual amount. According to the post-download loading and the dataset_info (https://huggingface.co/datasets/Ne... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7506 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7506/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7506/comments | https://api.github.com/repos/huggingface/datasets/issues/7506/events | https://github.com/huggingface/datasets/issues/7506 | 2,981,687,450 | I_kwDODunzps6xuPCa | 7,506 | HfHubHTTPError: 429 Client Error: Too Many Requests for URL when trying to access Fineweb-10BT on 4A100 GPUs using SLURM | {
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"Hi ! make sure to be logged in with your HF account (e.g. using `huggingface-cli login` or passing `token=` to `load_dataset()`), otherwise you'll get rate limited at one point"
] | 2025-04-09T06:32:04Z | 2025-04-15T13:04:31Z | null | NONE | null | null | null | null | ### Describe the bug
I am trying to run some finetunings on 4 A100 GPUs using SLURM using axolotl training framework which in turn uses Huggingface's Trainer and Accelerate on [Fineweb-10BT](https://huggingface.co/datasets/HuggingFaceFW/fineweb), but I end up running into 429 Client Error: Too Many Requests for URL er... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7505 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7505/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7505/comments | https://api.github.com/repos/huggingface/datasets/issues/7505/events | https://github.com/huggingface/datasets/issues/7505 | 2,979,926,156 | I_kwDODunzps6xnhCM | 7,505 | HfHubHTTPError: 403 Forbidden: None. Cannot access content at: https://hf.co/api/s3proxy | {
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from transformers import WhisperProcessor, WhisperForConditionalGeneration, WhisperTokenizer, Trainer, TrainingArguments, DataCollatorForSeq2Seq
from datasets import load_dataset, Data... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7504 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7504/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7504/comments | https://api.github.com/repos/huggingface/datasets/issues/7504/events | https://github.com/huggingface/datasets/issues/7504 | 2,979,410,641 | I_kwDODunzps6xljLR | 7,504 | BuilderConfig ParquetConfig(...) doesn't have a 'use_auth_token' key. | {
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"I encountered the same error, have you resolved it?",
"Hi ! `use_auth_token` has been deprecated and removed some time ago. You should use `token` instead in `load_dataset()`"
] | 2025-04-08T10:55:03Z | 2025-04-15T12:36:28Z | null | NONE | null | null | null | null | ### Describe the bug
Trying to run the following fine-tuning script (based on this page [here](https://github.com/huggingface/instruction-tuned-sd)):
```
! accelerate launch /content/instruction-tuned-sd/finetune_instruct_pix2pix.py \
--pretrained_model_name_or_path=${MODEL_ID} \
--dataset_name=${DATASET_NAME... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7503 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7503/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7503/comments | https://api.github.com/repos/huggingface/datasets/issues/7503/events | https://github.com/huggingface/datasets/issues/7503 | 2,978,512,625 | I_kwDODunzps6xiH7x | 7,503 | Inconsistency between load_dataset and load_from_disk functionality | {
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"Hi ! you can find more info here: https://github.com/huggingface/datasets/issues/5044#issuecomment-1263714347\n\n> What's the recommended approach for this use case? Should I manually process my gsm8k-new dataset to make it compatible with load_dataset? Is there a standard way to convert between these formats?\n\n... | 2025-04-08T03:46:22Z | 2025-04-15T12:39:53Z | null | NONE | null | null | null | null | ## Issue Description
I've encountered confusion when using `load_dataset` and `load_from_disk` in the datasets library. Specifically, when working offline with the gsm8k dataset, I can load it using a local path:
```python
import datasets
ds = datasets.load_dataset('/root/xxx/datasets/gsm8k', 'main')
```
output:
```t... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7502 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7502/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7502/comments | https://api.github.com/repos/huggingface/datasets/issues/7502/events | https://github.com/huggingface/datasets/issues/7502 | 2,977,453,814 | I_kwDODunzps6xeFb2 | 7,502 | `load_dataset` of size 40GB creates a cache of >720GB | {
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"Hi ! Parquet is a compressed format. When you load a dataset, it uncompresses the Parquet data into Arrow data on your disk. That's why you can indeed end up with 720GB of uncompressed data on disk. The uncompression is needed to enable performant dataset objects (especially for random access).\n\nTo save some sto... | 2025-04-07T16:52:34Z | 2025-04-15T15:22:12Z | 2025-04-15T15:22:11Z | NONE | null | null | null | null | Hi there,
I am trying to load a dataset from the Hugging Face Hub and split it into train and validation splits. Somehow, when I try to do it with `load_dataset`, it exhausts my disk quota. So, I tried manually downloading the parquet files from the hub and loading them as follows:
```python
ds = DatasetDict(
... | {
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https://api.github.com/repos/huggingface/datasets/issues/7501 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7501/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7501/comments | https://api.github.com/repos/huggingface/datasets/issues/7501/events | https://github.com/huggingface/datasets/issues/7501 | 2,976,721,014 | I_kwDODunzps6xbSh2 | 7,501 | Nested Feature raises ArrowNotImplementedError: Unsupported cast using function cast_struct | {
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"Solved by the default `load_dataset(features)` parameters. Do not use `Sequence` for the `list` in `list[any]` json schema, just simply use `[]`. For example, `\"b\": Sequence({...})` fails but `\"b\": [{...}]` works fine."
] | 2025-04-07T12:35:39Z | 2025-04-07T12:43:04Z | 2025-04-07T12:43:03Z | NONE | null | null | null | null | ### Describe the bug
`datasets.Features` seems to be unable to handle json file that contains fields of `list[dict]`.
### Steps to reproduce the bug
```json
// test.json
{"a": 1, "b": [{"c": 2, "d": 3}, {"c": 4, "d": 5}]}
{"a": 5, "b": [{"c": 7, "d": 8}, {"c": 9, "d": 10}]}
```
```python
import json
from datasets i... | {
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https://api.github.com/repos/huggingface/datasets/issues/7500 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7500/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7500/comments | https://api.github.com/repos/huggingface/datasets/issues/7500/events | https://github.com/huggingface/datasets/issues/7500 | 2,974,841,921 | I_kwDODunzps6xUHxB | 7,500 | Make `with_format` correctly indicate that a `Dataset` is compatible with PyTorch's `Dataset` class | {
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{
"color": "a2eeef",
"default": true,
"description": "New feature or request",
"id": 1935892871,
"name": "enhancement",
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
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"Does the torch `DataLoader` really require the dataset to be a subclass of `torch.utils.data.Dataset` ? Or is there a simpler type we could use ?\n\nPS: also note that a dataset without `with_format()` can also be used in a torch `DataLoader` . Calling `with_format(\"torch\")` simply makes the output of the datase... | 2025-04-06T09:56:09Z | 2025-04-15T12:57:39Z | null | NONE | null | null | null | null | ### Feature request
Currently `datasets` does not correctly indicate to the Python type-checker (e.g. `pyright` / `Pylance`) that the output of `with_format` is compatible with PyTorch's `Dataloader` since it does not indicate that the HuggingFace `Dataset` is compatible with the PyTorch `Dataset` class. It would be g... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7499 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7499/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7499/comments | https://api.github.com/repos/huggingface/datasets/issues/7499/events | https://github.com/huggingface/datasets/pull/7499 | 2,973,489,126 | PR_kwDODunzps6Rd4Zp | 7,499 | Added cache dirs to load and file_utils | {
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"hi ! the `hf_hub_download` cache_dir is a different cache directory than the one for `datasets`.\r\n\r\n`hf_hub_download` uses the `huggingface_hub` cache which is located in by default in `~/.cache/huggingface/hub`, while `datasets` uses a different cache for Arrow files and map() results `~/.cache/huggingface/da... | 2025-04-04T22:36:04Z | 2025-05-07T14:07:34Z | 2025-05-07T14:07:34Z | NONE | null | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/7498 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7498/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7498/comments | https://api.github.com/repos/huggingface/datasets/issues/7498/events | https://github.com/huggingface/datasets/issues/7498 | 2,969,218,273 | I_kwDODunzps6w-qzh | 7,498 | Extreme memory bandwidth. | {
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When I use hf datasets on 4 GPU with 40 workers I get some extreme memory bandwidth of constant ~3GB/s.
However, if I wrap the dataset in `IterableDataset`, this issue is gone and the data also loads way faster (4x faster training on 1 worker).
It seems like the workers don't share memory and b... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7497 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7497/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7497/comments | https://api.github.com/repos/huggingface/datasets/issues/7497/events | https://github.com/huggingface/datasets/issues/7497 | 2,968,553,693 | I_kwDODunzps6w8Ijd | 7,497 | How to convert videos to images? | {
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"Hi ! there is some documentation here on how to read video frames: https://huggingface.co/docs/datasets/video_load"
] | 2025-04-03T07:08:39Z | 2025-04-15T12:35:15Z | null | NONE | null | null | null | null | ### Feature request
Does someone know how to return the images from videos?
### Motivation
I am trying to use openpi(https://github.com/Physical-Intelligence/openpi) to finetune my Lerobot dataset(V2.0 and V2.1). I find that although the codedaset is v2.0, they are different. It seems like Lerobot V2.0 has two versi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7496 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7496/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7496/comments | https://api.github.com/repos/huggingface/datasets/issues/7496/events | https://github.com/huggingface/datasets/issues/7496 | 2,967,345,522 | I_kwDODunzps6w3hly | 7,496 | Json builder: Allow features to override problematic Arrow types | {
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"Hi ! It would be cool indeed, currently the JSON data are generally loaded here: \n\nhttps://github.com/huggingface/datasets/blob/90e5bf8a8599b625d6103ee5ac83b98269991141/src/datasets/packaged_modules/json/json.py#L137-L140\n\nMaybe we can pass a Arrow `schema` to avoid errors ?"
] | 2025-04-02T19:27:16Z | 2025-04-15T13:06:09Z | null | NONE | null | null | null | null | ### Feature request
In the JSON builder, use explicitly requested feature types before or while converting to Arrow.
### Motivation
Working with JSON datasets is really hard because of Arrow. At the very least, it seems like it should be possible to work-around these problems by explicitly setting problematic colum... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7495 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7495/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7495/comments | https://api.github.com/repos/huggingface/datasets/issues/7495/events | https://github.com/huggingface/datasets/issues/7495 | 2,967,034,060 | I_kwDODunzps6w2VjM | 7,495 | Columns in the dataset obtained though load_dataset do not correspond to the one in the dataset viewer since 3.4.0 | {
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"Hi, the dataset viewer shows all the possible columns and their types, but `load_dataset()` iterates through all the columns that you defined. It seems that you only have one column (‘audio’) defined in your dataset because when I ran `print(ds.column_names)`, the only name I got was “audio”. You need to clearly d... | 2025-04-02T17:01:11Z | 2025-05-19T13:54:16Z | null | CONTRIBUTOR | null | null | null | null | ### Describe the bug
I have noticed that on my dataset named [BrunoHays/Accueil_UBS](https://huggingface.co/datasets/BrunoHays/Accueil_UBS), since the version 3.4.0, every column except audio is missing when I load the dataset.
Interestingly, the dataset viewer still shows the correct columns
### Steps to reproduce ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7494 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7494/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7494/comments | https://api.github.com/repos/huggingface/datasets/issues/7494/events | https://github.com/huggingface/datasets/issues/7494 | 2,965,347,685 | I_kwDODunzps6wv51l | 7,494 | Broken links in pdf loading documentation | {
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"thanks for reporting ! I fixed the links, the docs will be updated in the next release"
] | 2025-04-02T06:45:22Z | 2025-04-15T13:36:25Z | 2025-04-15T13:36:04Z | NONE | null | null | null | null | ### Describe the bug
Hi, just a couple of small issues I ran into while reading the docs for [loading pdf data](https://huggingface.co/docs/datasets/main/en/document_load):
1. The link for the [`Create a pdf dataset`](https://huggingface.co/docs/datasets/main/en/document_load#pdffolder) points to https://huggingface.... | {
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https://api.github.com/repos/huggingface/datasets/issues/7493 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7493/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7493/comments | https://api.github.com/repos/huggingface/datasets/issues/7493/events | https://github.com/huggingface/datasets/issues/7493 | 2,964,025,179 | I_kwDODunzps6wq29b | 7,493 | push_to_hub does not upload videos | {
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"Hi ! the `Video` type is still experimental, and in particular `push_to_hub` doesn't upload videos at the moment (only the paths).\n\nThere is an open question to either upload the videos inside the Parquet files, or rather have them as separate files (which is great to enable remote seeking/streaming)"
] | 2025-04-01T17:00:20Z | 2025-04-15T12:34:23Z | null | NONE | null | null | null | null | ### Describe the bug
Hello,
I would like to upload a video dataset (some .mp4 files and some segments within them), i.e. rows correspond to subsequences from videos. Videos might be referenced by several rows.
I created a dataset locally and it references the videos and the video readers can read them correctly. I u... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7492 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7492/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7492/comments | https://api.github.com/repos/huggingface/datasets/issues/7492/events | https://github.com/huggingface/datasets/pull/7492 | 2,959,088,568 | PR_kwDODunzps6QtCQM | 7,492 | Closes #7457 | {
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"This PR fixes issue #7457"
] | 2025-03-30T20:41:20Z | 2025-04-13T22:05:07Z | 2025-04-13T22:05:07Z | CONTRIBUTOR | null | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/7491 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7491/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7491/comments | https://api.github.com/repos/huggingface/datasets/issues/7491/events | https://github.com/huggingface/datasets/pull/7491 | 2,959,085,647 | PR_kwDODunzps6QtBsD | 7,491 | docs: update cache.mdx to include HF_DATASETS_CACHE documentation | {
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"Already included HF_DATASETS_CACHE"
] | 2025-03-30T20:35:03Z | 2025-03-30T20:36:40Z | 2025-03-30T20:36:40Z | CONTRIBUTOR | null | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/7490 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7490/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7490/comments | https://api.github.com/repos/huggingface/datasets/issues/7490/events | https://github.com/huggingface/datasets/pull/7490 | 2,958,826,222 | PR_kwDODunzps6QsPUI | 7,490 | (refactor) remove redundant logic in _check_valid_index_key | {
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} | This PR contributes a minor refactor, in a small function in `src/datasets/formatting/formatting.py`. No change in logic.
In the original code, there are separate if-conditionals for `isinstance(key, range)` and `isinstance(key, Iterable)`, with essentially the same logic.
This PR combines these two using a sin... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7489 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7489/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7489/comments | https://api.github.com/repos/huggingface/datasets/issues/7489/events | https://github.com/huggingface/datasets/pull/7489 | 2,958,204,763 | PR_kwDODunzps6QqSRD | 7,489 | fix: loading of datasets from Disk(#7373) | {
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"@nepfaff Could you confirm if this fixes the issue for you? I checked Memray, and everything looked good on my end.\r\n\r\nInstall: `pip install git+https://github.com/sam-hey/datasets.git@fix/concatenate_datasets`\r\n",
"Will aim to get to this soon. I don't have a rapid testing pipeline setup but need to wait ... | 2025-03-29T16:22:58Z | 2025-04-24T16:36:36Z | null | NONE | null | null | 0 | {
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} | Fixes dataset loading from disk by ensuring that memory maps and streams are properly closed.
For more details, see https://github.com/huggingface/datasets/issues/7373. | null | {
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"you rock, Quentin - thank you!"
] | 2025-03-28T16:01:15Z | 2025-03-28T16:20:44Z | 2025-03-28T16:20:43Z | MEMBER | null | null | 0 | {
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] | 2025-03-28T15:49:25Z | 2025-03-28T17:09:53Z | 2025-03-28T17:09:51Z | MEMBER | null | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fix this error when mapping a PDF dataset
```
pyarrow.lib.ArrowInvalid: Could not convert <pdfplumber.pdf.PDF object at 0x13498ee40> with type PDF: did not recognize Python value type when inferring an Arrow data type
```
and also let map() outputs be lists of images or pdfs | {
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"OK I was missing the `pytest-datadir` package. Sorry for the noise!"
] | 2025-03-27T18:17:12Z | 2025-03-27T19:49:11Z | 2025-03-27T19:49:10Z | NONE | null | null | null | null | ### Describe the bug
Running the tests for the latest release fails due to missing `shared_datadir` fixture.
### Steps to reproduce the bug
Running `pytest` while building a package for Arch Linux leads to these errors:
```
==================================== ERRORS ====================================
_________ E... | {
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"Cool ! Can you run `make style` to fix code formatting ?\r\n\r\nI was also thinking of ... | 2025-03-27T07:07:20Z | 2025-04-29T04:14:57Z | 2025-04-09T09:53:10Z | CONTRIBUTOR | null | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR addresses Issue #7472
cc: @lhoestq | {
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https://api.github.com/repos/huggingface/datasets/issues/7482 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7482/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7482/comments | https://api.github.com/repos/huggingface/datasets/issues/7482/events | https://github.com/huggingface/datasets/pull/7482 | 2,950,890,368 | PR_kwDODunzps6QRyY6 | 7,482 | Implement capability to restore non-nullability in Features | {
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"Interestingly, this does not close #7479. The Features are not correctly maintained when calling `from_dict` with the custom Features.",
"Unfortunately this PR does not fix the reported issue. After more digging:\r\n\r\n- when the dataset is created, nullability information is lost in Features;\r\n- even with th... | 2025-03-26T22:16:09Z | 2025-05-15T15:00:59Z | 2025-05-15T15:00:59Z | CONTRIBUTOR | null | null | 0 | {
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} | This PR attempts to keep track of non_nullable pyarrow fields when converting a `pa.Schema` to `Features`. At the same time, when outputting the `arrow_schema`, the original non-nullable fields are restored. This allows for more consistent behavior and avoids breaking behavior as illustrated in #7479.
I am by no mea... | {
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"should be an easy fix, I opened a PR"
] | 2025-03-26T20:10:54Z | 2025-03-28T16:20:44Z | 2025-03-28T16:20:44Z | NONE | null | null | null | null | ### Feature request
```
In [6]: ds = datasets.load_dataset("HuggingFaceH4/ultrachat_200k", split="train_sft[:1000]")
In [7]: ds = datasets.load_dataset("HuggingFaceH4/ultrachat_200k", split="train_sft[:1_000]")
[dozens of frames skipped]
File /usr/local/lib/python3.10/dist-packages/datasets/arrow_reader.py:444, in _s... | {
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"FWIW, it does eventually write to /tmp/roller/datasets when generating the final version.",
"Hey, I’d love to work on this issue but I am a beginner, can I work it with you?",
"Hi @lhoestq,\nI'd like to look into this issue but I'm still learning. Could you share any quick pointers on the HF_DATASETS_CACHE beh... | 2025-03-26T17:19:34Z | 2025-04-28T10:16:16Z | null | NONE | null | null | null | null | ### Describe the bug
I'm struggling to get things to respect HF_DATASETS_CACHE.
Rationale: I'm on a system that uses NFS for homedir, so downloading to NFS is expensive, slow, and wastes valuable quota compared to local disk. Instead, it seems to rely mostly on HF_HUB_CACHE.
Current version: 3.2.1dev. In the process... | null | {
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I came across this, perhaps niche, bug where `Features` does not/cannot account for pyarrow's `nullable=False` option in Fields. Interestingly, I found that in regular "flat" fields this does not necessarily lead to conflicts, but when a non-nullable field is in a struct, an incompatibility arises... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7478 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7478/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7478/comments | https://api.github.com/repos/huggingface/datasets/issues/7478/events | https://github.com/huggingface/datasets/pull/7478 | 2,948,993,461 | PR_kwDODunzps6QLPe3 | 7,478 | update fsspec 2025.3.0 | {
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"Sorry for tagging you @lhoestq but since you merged the linked PR, I wondered if you might be able to help me get this triaged so it can be reviewed/rejected etc. 🙏🏼 ",
"The docs for this PR live [here](/static-proxy?url=https%3A%2F%2Fmoon-ci-docs.huggingface.co%2Fdocs%2Fdatasets%2Fpr_7478). All of your documentation changes will be reflec... | 2025-03-26T09:53:05Z | 2025-03-28T19:15:54Z | 2025-03-28T15:51:55Z | CONTRIBUTOR | null | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | It appears there have been two releases of fsspec since this dependency was last updated, it would be great if Datasets could be updated so that it didn't hold back the usage of newer fsspec versions in consuming projects.
PR based on https://github.com/huggingface/datasets/pull/7352 | {
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https://api.github.com/repos/huggingface/datasets/issues/7477 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7477/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7477/comments | https://api.github.com/repos/huggingface/datasets/issues/7477/events | https://github.com/huggingface/datasets/issues/7477 | 2,947,169,460 | I_kwDODunzps6vqjy0 | 7,477 | What is the canonical way to compress a Dataset? | {
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"I saw this post by @lhoestq: /static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fincreased-arrow-table-size-by-factor-of-2%2F26561%2F4 suggesting that there is at least some internal code for writing sharded parquet datasets non-concurrently. This appears to be that code: https://github.com/huggingface/datasets/blob/94ccd1b4fada8a92cea... | 2025-03-25T16:47:51Z | 2025-04-03T09:13:11Z | null | NONE | null | null | null | null | Given that Arrow is the preferred backend for a Dataset, what is a user supposed to do if they want concurrent reads, concurrent writes AND on-disk compression for a larger dataset?
Parquet would be the obvious answer except that there is no native support for writing sharded, parquet datasets concurrently [[1](https:... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7476 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7476/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7476/comments | https://api.github.com/repos/huggingface/datasets/issues/7476/events | https://github.com/huggingface/datasets/pull/7476 | 2,946,997,924 | PR_kwDODunzps6QEbmO | 7,476 | Priotitize json | {
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"The docs for this PR live [here](/static-proxy?url=https%3A%2F%2Fmoon-ci-docs.huggingface.co%2Fdocs%2Fdatasets%2Fpr_7476). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2025-03-25T15:44:31Z | 2025-03-25T15:47:00Z | 2025-03-25T15:45:00Z | MEMBER | null | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | `datasets` should load the JSON data in https://huggingface.co/datasets/facebook/natural_reasoning, not the PDF | {
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https://api.github.com/repos/huggingface/datasets/issues/7475 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7475/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7475/comments | https://api.github.com/repos/huggingface/datasets/issues/7475/events | https://github.com/huggingface/datasets/issues/7475 | 2,946,640,570 | I_kwDODunzps6voiq6 | 7,475 | IterableDataset's state_dict shard_example_idx is always equal to the number of samples in a shard | {
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"Hey, I’d love to work on this issue but I am a beginner, can I work it with you?",
"Hello. I'm sorry but I don't have much time to get in the details for now.\nHave you managed to reproduce the issue with the code provided ?\nIf you want to work on it, you can self-assign and ask @lhoestq for directions",
"Hi ... | 2025-03-25T13:58:07Z | 2025-05-06T14:22:19Z | 2025-05-06T14:05:07Z | CONTRIBUTOR | null | null | null | null | ### Describe the bug
I've noticed a strange behaviour with Iterable state_dict: the value of shard_example_idx is always equal to the amount of samples in a shard.
### Steps to reproduce the bug
I am reusing the example from the doc
```python
from datasets import Dataset
ds = Dataset.from_dict({"a": range(6)}).to_... | {
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https://api.github.com/repos/huggingface/datasets/issues/7474 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7474/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7474/comments | https://api.github.com/repos/huggingface/datasets/issues/7474/events | https://github.com/huggingface/datasets/pull/7474 | 2,945,066,258 | PR_kwDODunzps6P91lM | 7,474 | Remove conditions for Python < 3.9 | {
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"The docs for this PR live [here](/static-proxy?url=https%3A%2F%2Fmoon-ci-docs.huggingface.co%2Fdocs%2Fdatasets%2Fpr_7474). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Thanks ! can you run `make style` to fix code formatting ? then we can merge",
"@lhoe... | 2025-03-25T03:08:04Z | 2025-04-16T00:11:06Z | 2025-04-15T16:07:55Z | CONTRIBUTOR | null | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/7473 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7473/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7473/comments | https://api.github.com/repos/huggingface/datasets/issues/7473/events | https://github.com/huggingface/datasets/issues/7473 | 2,939,034,643 | I_kwDODunzps6vLhwT | 7,473 | Webdataset data format problem | {
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"I was able to work around it"
] | 2025-03-21T17:23:52Z | 2025-03-21T19:19:58Z | 2025-03-21T19:19:58Z | NONE | null | null | null | null | ### Describe the bug
Please see https://huggingface.co/datasets/ejschwartz/idioms/discussions/1
Error code: FileFormatMismatchBetweenSplitsError
All three splits, train, test, and validation, use webdataset. But only the train split has more than one file. How can I force the other two splits to also be interpreted ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7472 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7472/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7472/comments | https://api.github.com/repos/huggingface/datasets/issues/7472/events | https://github.com/huggingface/datasets/issues/7472 | 2,937,607,272 | I_kwDODunzps6vGFRo | 7,472 | Label casting during `map` process is canceled after the `map` process | {
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"Hi ! By default `map()` tries to keep the types of each column of the dataset, so here it reuses the int type since all your float values can be converted to integers. But I agree it would be nice to store float values as float values and don't try to reuse the same type in this case.\n\nIn the meantime, you can e... | 2025-03-21T07:56:22Z | 2025-04-10T05:11:15Z | 2025-04-10T05:11:14Z | CONTRIBUTOR | null | null | null | null | ### Describe the bug
When preprocessing a multi-label dataset, I introduced a step to convert int labels to float labels as [BCEWithLogitsLoss](https://pytorch.org/docs/stable/generated/torch.nn.BCEWithLogitsLoss.html) expects float labels and forward function of models in transformers package internally use `BCEWithL... | {
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https://api.github.com/repos/huggingface/datasets/issues/7471 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7471/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7471/comments | https://api.github.com/repos/huggingface/datasets/issues/7471/events | https://github.com/huggingface/datasets/issues/7471 | 2,937,530,069 | I_kwDODunzps6vFybV | 7,471 | Adding argument to `_get_data_files_patterns` | {
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"Hi ! The pattern can be specified in advance in YAML in the README.md of the dataset :)\n\nFor example\n\n```\n---\nconfigs:\n- config_name: default\n data_files:\n - split: train\n path: \"train/*\"\n - split: test\n path: \"test/*\"\n---\n```\n\nSee the docs at https://huggingface.co/docs/hub/en/dataset... | 2025-03-21T07:17:53Z | 2025-03-27T12:30:52Z | 2025-03-26T07:26:27Z | NONE | null | null | null | null | ### Feature request
How about adding if the user already know about the pattern?
https://github.com/huggingface/datasets/blob/a256b85cbc67aa3f0e75d32d6586afc507cf535b/src/datasets/data_files.py#L252
### Motivation
While using this load_dataset people might use 10M of images for the local files.
However, due to sear... | {
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https://api.github.com/repos/huggingface/datasets/issues/7470 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7470/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7470/comments | https://api.github.com/repos/huggingface/datasets/issues/7470/events | https://github.com/huggingface/datasets/issues/7470 | 2,937,236,323 | I_kwDODunzps6vEqtj | 7,470 | Is it possible to shard a single-sharded IterableDataset? | {
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"Hi ! Maybe you can look for an option in your dataset to partition your data based on a deterministic filter ? For example each worker could stream the data based on `row.id % num_shards` or something like that ?",
"So the recommendation is to start out with multiple shards initially and re-sharding after is not... | 2025-03-21T04:33:37Z | 2025-05-09T22:51:46Z | 2025-03-26T06:49:28Z | NONE | null | null | null | null | I thought https://github.com/huggingface/datasets/pull/7252 might be applicable but looking at it maybe not.
Say we have a process, eg. a database query, that can return data in slightly different order each time. So, the initial query needs to be run by a single thread (not to mention running multiple times incurs mo... | {
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https://api.github.com/repos/huggingface/datasets/issues/7469 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7469/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7469/comments | https://api.github.com/repos/huggingface/datasets/issues/7469/events | https://github.com/huggingface/datasets/issues/7469 | 2,936,606,080 | I_kwDODunzps6vCQ2A | 7,469 | Custom split name with the web interface | {
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According the doc here: https://huggingface.co/docs/hub/datasets-file-names-and-splits#custom-split-name
it should infer the split name from the subdir of data or the beg of the name of the files in data.
When doing this manually through web upload it does not work. it uses "train" as a unique spl... | {
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https://api.github.com/repos/huggingface/datasets/issues/7468 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7468/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7468/comments | https://api.github.com/repos/huggingface/datasets/issues/7468/events | https://github.com/huggingface/datasets/issues/7468 | 2,934,094,103 | I_kwDODunzps6u4rkX | 7,468 | function `load_dataset` can't solve folder path with regex characters like "[]" | {
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"Hi ! Have you tried escaping the glob special characters `[` and `]` ?\n\nbtw note that`AbstractFileSystem.glob` doesn't support regex, instead it supports glob patterns as in the python library [glob](https://docs.python.org/3/library/glob.html)\n"
] | 2025-03-20T05:21:59Z | 2025-03-25T10:18:12Z | null | NONE | null | null | null | null | ### Describe the bug
When using the `load_dataset` function with a folder path containing regex special characters (such as "[]"), the issue occurs due to how the path is handled in the `resolve_pattern` function. This function passes the unprocessed path directly to `AbstractFileSystem.glob`, which supports regular e... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7467 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7467/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7467/comments | https://api.github.com/repos/huggingface/datasets/issues/7467/events | https://github.com/huggingface/datasets/issues/7467 | 2,930,067,107 | I_kwDODunzps6upUaj | 7,467 | load_dataset with streaming hangs on parquet datasets | {
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"Hi ! The issue comes from `pyarrow`, I reported it here: https://github.com/apache/arrow/issues/45214 (feel free to comment / thumb up).\n\nAlternatively we can try to find something else than `ParquetFileFragment.to_batches()` to iterate on Parquet data and keep the option the pass `filters=`..."
] | 2025-03-18T23:33:54Z | 2025-03-25T10:28:04Z | null | NONE | null | null | null | null | ### Describe the bug
When I try to load a dataset with parquet files (e.g. "bigcode/the-stack") the dataset loads, but python interpreter can't exit and hangs
### Steps to reproduce the bug
```python3
import datasets
print('Start')
dataset = datasets.load_dataset("bigcode/the-stack", data_dir="data/yaml", streaming... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7466 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7466/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7466/comments | https://api.github.com/repos/huggingface/datasets/issues/7466/events | https://github.com/huggingface/datasets/pull/7466 | 2,928,661,327 | PR_kwDODunzps6PHQyp | 7,466 | Fix local pdf loading | {
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```
File ~/.pyenv/versions/3.12.2/envs/hf-datasets/lib/python3.12/site-packages/pdfminer/psparser.py:220, in PSBaseParser.seek(self, pos)
218 """Seeks the parser to the given position."""
219 log.debug("seek: %r", pos)
--> 220 self.fp.seek(pos)
221 # reset t... | {
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https://api.github.com/repos/huggingface/datasets/issues/7464 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7464/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7464/comments | https://api.github.com/repos/huggingface/datasets/issues/7464/events | https://github.com/huggingface/datasets/pull/7464 | 2,926,478,838 | PR_kwDODunzps6PABJa | 7,464 | Minor fix for metadata files in extension counter | {
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] | 2025-03-17T21:57:11Z | 2025-03-18T15:21:43Z | 2025-03-18T15:21:41Z | MEMBER | null | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/7463 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7463/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7463/comments | https://api.github.com/repos/huggingface/datasets/issues/7463/events | https://github.com/huggingface/datasets/pull/7463 | 2,925,924,452 | PR_kwDODunzps6O-I6K | 7,463 | Adds EXR format to store depth images in float32 | {
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"Hi ! I'mn wondering if this shouldn't this be an `Image()` type and decoded as a `PIL.Image` ?\r\n\r\nThis would make it easier to integrate with the rest of the HF ecosystem, and you could still get a numpy array using `ds = ds.with_format(\"numpy\")` which sets all the images to be formatted as numpy arrays",
... | 2025-03-17T17:42:40Z | 2025-04-02T12:33:39Z | null | NONE | null | null | 0 | {
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} | This PR adds the EXR feature to store depth images (or can be normals, etc) in float32.
It relies on [openexr_numpy](https://github.com/martinResearch/openexr_numpy/tree/main) to manipulate EXR images.
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https://api.github.com/repos/huggingface/datasets/issues/7462 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7462/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7462/comments | https://api.github.com/repos/huggingface/datasets/issues/7462/events | https://github.com/huggingface/datasets/pull/7462 | 2,925,612,945 | PR_kwDODunzps6O9EA1 | 7,462 | set dev version | {
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] | 2025-03-17T16:00:53Z | 2025-03-17T16:03:31Z | 2025-03-17T16:01:08Z | MEMBER | null | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/7461 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7461/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7461/comments | https://api.github.com/repos/huggingface/datasets/issues/7461/events | https://github.com/huggingface/datasets/issues/7461 | 2,925,608,123 | I_kwDODunzps6uYTy7 | 7,461 | List of images behave differently on IterableDataset and Dataset | {
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"Hi ! Can you try with `datasets` ^3.4 released recently ? on my side it works with IterableDataset on the recent version :)\n\n```python\nIn [20]: def train_iterable_gen():\n ...: images = np.array(load_image(\"https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg\")... | 2025-03-17T15:59:23Z | 2025-03-18T08:57:17Z | 2025-03-18T08:57:16Z | NONE | null | null | null | null | ### Describe the bug
This code:
```python
def train_iterable_gen():
images = np.array(load_image("https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg").resize((128, 128)))
yield {
"images": np.expand_dims(images, axis=0),
"messages": [
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https://api.github.com/repos/huggingface/datasets/issues/7460 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7460/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7460/comments | https://api.github.com/repos/huggingface/datasets/issues/7460/events | https://github.com/huggingface/datasets/pull/7460 | 2,925,605,865 | PR_kwDODunzps6O9Ccc | 7,460 | release: 3.4.1 | {
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] | 2025-03-17T15:58:31Z | 2025-03-17T16:01:14Z | 2025-03-17T15:59:19Z | MEMBER | null | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/7459 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7459/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7459/comments | https://api.github.com/repos/huggingface/datasets/issues/7459/events | https://github.com/huggingface/datasets/pull/7459 | 2,925,491,766 | PR_kwDODunzps6O8pWp | 7,459 | Fix data_files filtering | {
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https://api.github.com/repos/huggingface/datasets/issues/7458 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7458/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7458/comments | https://api.github.com/repos/huggingface/datasets/issues/7458/events | https://github.com/huggingface/datasets/issues/7458 | 2,925,403,528 | I_kwDODunzps6uXh2I | 7,458 | Loading the `laion/filtered-wit` dataset in streaming mode fails on v3.4.0 | {
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"thanks for reporting, I released 3.4.1 with a fix"
] | 2025-03-17T14:54:02Z | 2025-03-17T16:02:04Z | 2025-03-17T15:25:55Z | NONE | null | null | null | null | ### Describe the bug
Loading https://huggingface.co/datasets/laion/filtered-wit in streaming mode fails after update to `datasets==3.4.0`. The dataset loads fine on v3.3.2.
### Steps to reproduce the bug
Steps to reproduce:
```
pip install datastes==3.4.0
python -c "from datasets import load_dataset; load_dataset('l... | {
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https://api.github.com/repos/huggingface/datasets/issues/7457 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7457/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7457/comments | https://api.github.com/repos/huggingface/datasets/issues/7457/events | https://github.com/huggingface/datasets/issues/7457 | 2,924,886,467 | I_kwDODunzps6uVjnD | 7,457 | Document the HF_DATASETS_CACHE env variable | {
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"Strongly agree to this, in addition, I am also suffering to change the cache location similar to other issues (since I changed the environmental variables).\nhttps://github.com/huggingface/datasets/issues/6886",
"`HF_DATASETS_CACHE` should be documented there indeed, feel free to open a PR :) ",
"Hey, I’d love... | 2025-03-17T12:24:50Z | 2025-05-06T15:54:39Z | 2025-05-06T15:54:39Z | NONE | null | null | null | null | ### Feature request
Hello,
I have a use case where my team is sharing models and dataset in shared directory to avoid duplication.
I noticed that the [cache documentation for datasets](https://huggingface.co/docs/datasets/main/en/cache) only mention the `HF_HOME` environment variable but never the `HF_DATASETS_CACHE`... | {
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"I can fix this.\nIt's mainly because faiss-gpu requires python<=3.10 but the default python version in colab is 3.11. We just have to downgrade the CPython version down to 3.10 and it should work fine.\n",
"I think I just had no chance to meet with faiss-cpu.\nIt could be import problem? \n_has_faiss gets its va... | 2025-03-16T00:51:49Z | 2025-03-17T15:57:19Z | null | NONE | null | null | null | null | ### Describe the bug
At Google Colab
```!pip install faiss-cpu``` works
```import faiss``` no error
but
```embeddings_dataset.add_faiss_index(column='embeddings')```
returns
```
[/usr/local/lib/python3.11/dist-packages/datasets/search.py](https://localhost:8080/#) in init(self, device, string_factory, metric_type, cus... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7455 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7455/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7455/comments | https://api.github.com/repos/huggingface/datasets/issues/7455/events | https://github.com/huggingface/datasets/issues/7455 | 2,921,933,250 | I_kwDODunzps6uKSnC | 7,455 | Problems with local dataset after upgrade from 3.3.2 to 3.4.0 | {
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"Hi ! I just released 3.4.1 with a fix, let me know if it's working now !"
] | 2025-03-15T09:22:50Z | 2025-03-17T16:20:43Z | null | NONE | null | null | null | null | ### Describe the bug
I was not able to open a local saved dataset anymore that was created using an older datasets version after the upgrade yesterday from datasets 3.3.2 to 3.4.0
The traceback is
```
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/datasets/packaged_modules/arrow/... | null | {
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] | 2025-03-13T10:41:35Z | 2025-03-14T10:35:37Z | 2025-03-14T10:35:35Z | MEMBER | null | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/7450.diff",
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Useful for dataset streaming for multimodal datasets, and especially for lerobot.
It speeds up streaming up to 20 times.
When decoding is enabled (default), media types are decoded:
* audio -> dict of "array" and "sampling_rate" and "path"
* image -> PIL.Image
* video -> torchvision.io.VideoReader
You can e... | {
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https://api.github.com/repos/huggingface/datasets/issues/7449 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7449/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7449/comments | https://api.github.com/repos/huggingface/datasets/issues/7449/events | https://github.com/huggingface/datasets/issues/7449 | 2,916,235,092 | I_kwDODunzps6t0jdU | 7,449 | Cannot load data with different schemas from different parquet files | {
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"Hi ! `load_dataset` expects all the data_files to have the same schema.\n\nMaybe you can try enforcing certain `features` using:\n\n```python\nfeatures = Features({\"conversations\": {'content': Value('string'), 'role': Value('string',)}})\nds = load_dataset(..., features=features)\n```",
"Thanks! It works if I ... | 2025-03-13T08:14:49Z | 2025-03-17T07:27:48Z | 2025-03-17T07:27:46Z | NONE | null | null | null | null | ### Describe the bug
Cannot load samples with optional fields from different files. The schema cannot be correctly derived.
### Steps to reproduce the bug
When I place two samples with an optional field `some_extra_field` within a single parquet file, it can be loaded via `load_dataset`.
```python
import pandas as ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7448 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7448/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7448/comments | https://api.github.com/repos/huggingface/datasets/issues/7448/events | https://github.com/huggingface/datasets/issues/7448 | 2,916,025,762 | I_kwDODunzps6tzwWi | 7,448 | `datasets.disable_caching` doesn't work | {
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"cc",
"Yes I have the same issue. It's a confusingly named function. See [here](https://github.com/huggingface/datasets/blob/main/src/datasets/fingerprint.py#L115-L130)\n\n```\n...\nIf disabled, the library will no longer reload cached datasets files when applying transforms to the datasets.\n More precisely... | 2025-03-13T06:40:12Z | 2025-03-22T04:37:07Z | null | NONE | null | null | null | null | When I use `Dataset.from_generator(my_gen)` to load my dataset, it simply skips my changes to the generator function.
I tried `datasets.disable_caching`, but it doesn't work! | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7447 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7447/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7447/comments | https://api.github.com/repos/huggingface/datasets/issues/7447/events | https://github.com/huggingface/datasets/issues/7447 | 2,915,233,248 | I_kwDODunzps6twu3g | 7,447 | Epochs shortened after resuming mid-epoch with Iterable dataset+StatefulDataloader(persistent_workers=True) | {
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"Thanks for reporting ! Maybe we should store the epoch in the state_dict, and then when the dataset is iterated on again after setting a new epoch it should restart from scratch instead of resuming ? wdyt ?",
"But why does this only happen when `persistent_workers=True`? I would expect it to work correctly even ... | 2025-03-12T21:41:05Z | 2025-03-14T17:26:59Z | 2025-03-14T10:50:10Z | NONE | null | null | null | null | ### Describe the bug
When `torchdata.stateful_dataloader.StatefulDataloader(persistent_workers=True)` the epochs after resuming only iterate through the examples that were left in the epoch when the training was interrupted. For example, in the script below training is interrupted on step 124 (epoch 1) when 3 batches ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7446 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7446/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7446/comments | https://api.github.com/repos/huggingface/datasets/issues/7446/events | https://github.com/huggingface/datasets/issues/7446 | 2,913,050,552 | I_kwDODunzps6toZ-4 | 7,446 | pyarrow.lib.ArrowTypeError: Expected dict key of type str or bytes, got 'int' | {
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A dict with its keys are all str but get following error
```python
test_data=[{'input_ids':[1,2,3],'labels':[[Counter({2:1})]]}]
dataset = datasets.Dataset.from_list(test_data)
```
```bash
pyarrow.lib.ArrowTypeError: Expected dict key of type str or bytes, got 'int'
```
### Steps to reproduce the... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7445 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7445/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7445/comments | https://api.github.com/repos/huggingface/datasets/issues/7445/events | https://github.com/huggingface/datasets/pull/7445 | 2,911,507,923 | PR_kwDODunzps6ONygU | 7,445 | Fix small bugs with async map | {
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"The docs for this PR live [here](/static-proxy?url=https%3A%2F%2Fmoon-ci-docs.huggingface.co%2Fdocs%2Fdatasets%2Fpr_7445). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2025-03-11T18:30:57Z | 2025-03-13T10:38:03Z | 2025-03-13T10:37:58Z | MEMBER | null | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/7445.diff",
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | helpful for the next PR to enable parallel image/audio/video decoding and make multimodal datasets go brr (e.g. for lerobot)
- fix with_indices
- fix resuming with save_state_dict() / load_state_dict() - omg that wasn't easy
- remove unnecessary decoding in map() to enable parallelism in FormattedExampleIterable l... | {
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https://api.github.com/repos/huggingface/datasets/issues/7444 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7444/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7444/comments | https://api.github.com/repos/huggingface/datasets/issues/7444/events | https://github.com/huggingface/datasets/issues/7444 | 2,911,202,445 | I_kwDODunzps6thWyN | 7,444 | Excessive warnings when resuming an IterableDataset+buffered shuffle+DDP. | {
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"I had a similar issue when loading the saved iterable dataset state to fast-forward to the mid-train location before resuming. This happened when I shuffled a concatenated dataset. A `iterable_data_state_dict.json` file was saved during checkpointing in the Trainer with:\n```\ndef _save_rng_state(self, output_dir)... | 2025-03-11T16:34:39Z | 2025-05-13T09:41:03Z | null | NONE | null | null | null | null | ### Describe the bug
I have a large dataset that I shared into 1024 shards and save on the disk during pre-processing. During training, I load the dataset using load_from_disk() and convert it into an iterable dataset, shuffle it and split the shards to different DDP nodes using the recommended method.
However, when ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7443 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7443/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7443/comments | https://api.github.com/repos/huggingface/datasets/issues/7443/events | https://github.com/huggingface/datasets/issues/7443 | 2,908,585,656 | I_kwDODunzps6tXX64 | 7,443 | index error when num_shards > len(dataset) | {
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"Actually, looking at the code a bit more carefully, maybe an even better solution is to explicitly set `num_shards=len(self)` somewhere inside both `push_to_hub()` and `save_to_disk()` when these functions are invoked with `num_shards > len(dataset)`."
] | 2025-03-10T22:40:59Z | 2025-03-10T23:43:08Z | null | NONE | null | null | null | null | In `ds.push_to_hub()` and `ds.save_to_disk()`, `num_shards` must be smaller than or equal to the number of rows in the dataset, but currently this is not checked anywhere inside these functions. Attempting to invoke these functions with `num_shards > len(dataset)` should raise an informative `ValueError`.
I frequently... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7442 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7442/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7442/comments | https://api.github.com/repos/huggingface/datasets/issues/7442/events | https://github.com/huggingface/datasets/issues/7442 | 2,905,543,017 | I_kwDODunzps6tLxFp | 7,442 | Flexible Loader | {
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"Ideally `save_to_disk` should save in a format compatible with load_dataset, wdyt ?",
"> Ideally `save_to_disk` should save in a format compatible with load_dataset, wdyt ?\n\nThat would be perfect if not at least a flexible loader.",
"@lhoestq For now, you can use this small utility library: [nanoml](https://... | 2025-03-09T16:55:03Z | 2025-03-27T23:58:17Z | null | NONE | null | null | null | null | ### Feature request
Can we have a utility function that will use `load_from_disk` when given the local path and `load_dataset` if given an HF dataset?
It can be something as simple as this one:
```
def load_hf_dataset(path_or_name):
if os.path.exists(path_or_name):
return load_from_disk(path_or_name)
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7441 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7441/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7441/comments | https://api.github.com/repos/huggingface/datasets/issues/7441/events | https://github.com/huggingface/datasets/issues/7441 | 2,904,702,329 | I_kwDODunzps6tIj15 | 7,441 | `drop_last_batch` does not drop the last batch using IterableDataset + interleave_datasets + multi_worker | {
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"Hi @memray, I’d like to help fix the issue with `drop_last_batch` not working when `num_workers > 1`. I’ll investigate and propose a solution. Thanks!\n",
"Thank you very much for offering to help! I also noticed a problem related to a previous issue and left a comment [here](https://github.com/huggingface/datas... | 2025-03-08T10:28:44Z | 2025-03-09T21:27:33Z | null | NONE | null | null | null | null | ### Describe the bug
See the script below
`drop_last_batch=True` is defined using map() for each dataset.
The last batch for each dataset is expected to be dropped, id 21-25.
The code behaves as expected when num_workers=0 or 1.
When using num_workers>1, 'a-11', 'b-11', 'a-12', 'b-12' are gone and instead 21 and 22 a... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7440 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7440/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7440/comments | https://api.github.com/repos/huggingface/datasets/issues/7440/events | https://github.com/huggingface/datasets/issues/7440 | 2,903,740,662 | I_kwDODunzps6tE5D2 | 7,440 | IterableDataset raises FileNotFoundError instead of retrying | {
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"I have since been training more models with identical architectures over the same dataset, and it is completely unstable. One has now failed at chunk9/1215, whilst others have gotten past that.\n```python\nFileNotFoundError: zstd://example_train_1215.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d55119... | 2025-03-07T19:14:18Z | 2025-04-17T23:40:35Z | null | NONE | null | null | null | null | ### Describe the bug
In https://github.com/huggingface/datasets/issues/6843 it was noted that the streaming feature of `datasets` is highly susceptible to outages and doesn't back off for long (or even *at all*).
I was training a model while streaming SlimPajama and training crashed with a `FileNotFoundError`. I can ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7439 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7439/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7439/comments | https://api.github.com/repos/huggingface/datasets/issues/7439/events | https://github.com/huggingface/datasets/pull/7439 | 2,900,143,289 | PR_kwDODunzps6NoCdD | 7,439 | Fix multi gpu process example | {
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"Okay nevermind looks like to works both ways for models. but my doubt still remains, isnt this changing the device of the model every batch?"
] | 2025-03-06T11:29:19Z | 2025-03-06T17:07:28Z | 2025-03-06T17:06:38Z | NONE | null | null | 0 | {
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} | to is not an inplace function.
But i am not sure about this code anyway, i think this is modifying the global variable `model` everytime the function is called? Which is on every batch? So it is juggling the same model on every gpu right? Isnt that very inefficient? | {
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https://api.github.com/repos/huggingface/datasets/issues/7438 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7438/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7438/comments | https://api.github.com/repos/huggingface/datasets/issues/7438/events | https://github.com/huggingface/datasets/pull/7438 | 2,899,209,484 | PR_kwDODunzps6Nk37h | 7,438 | Allow dataset row indexing with np.int types (#7423) | {
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} | @lhoestq
Proposed fix for #7423. Added a couple simple tests as requested. I had some test failures related to Java and pyspark even when installing with dev but these don't seem to be related to the changes here and fail for me even on clean main.
The typeerror raised when using the wrong type is: "Wrong key type... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7437 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7437/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7437/comments | https://api.github.com/repos/huggingface/datasets/issues/7437/events | https://github.com/huggingface/datasets/pull/7437 | 2,899,104,679 | PR_kwDODunzps6Nkhla | 7,437 | Use pyupgrade --py39-plus for remaining files | {
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} | This work follows #7428. And "requires-python" is set in pyproject.toml | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7436 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7436/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7436/comments | https://api.github.com/repos/huggingface/datasets/issues/7436/events | https://github.com/huggingface/datasets/pull/7436 | 2,898,385,725 | PR_kwDODunzps6NiArv | 7,436 | chore: fix typos | {
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https://api.github.com/repos/huggingface/datasets/issues/7435 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7435/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7435/comments | https://api.github.com/repos/huggingface/datasets/issues/7435/events | https://github.com/huggingface/datasets/pull/7435 | 2,895,536,956 | PR_kwDODunzps6NYUnr | 7,435 | Refactor `string_to_dict` to return `None` if there is no match instead of raising `ValueError` | {
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"cc: @lhoestq ",
"I am going to rebase #7434 onto this branch. Then we can merge this one first if you approve, and then #7434.",
"@lhoestq any thoughts here?",
"The docs for this PR live [here](/static-proxy?url=https%3A%2F%2Fmoon-ci-docs.huggingface.co%2Fdocs%2Fdatasets%2Fpr_7435). All of your documentation changes will be reflected on ... | 2025-03-04T22:01:20Z | 2025-03-12T16:52:00Z | 2025-03-12T16:52:00Z | NONE | null | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Making this change, as encouraged here:
* https://github.com/huggingface/datasets/pull/7434#discussion_r1979933054
instead of having the pattern of using `try`-`except` to handle when there is no match, we can instead check if the return value is `None`; we can also assert that the return value should not be `Non... | {
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https://api.github.com/repos/huggingface/datasets/issues/7434 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7434/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7434/comments | https://api.github.com/repos/huggingface/datasets/issues/7434/events | https://github.com/huggingface/datasets/pull/7434 | 2,893,075,908 | PR_kwDODunzps6NP-vn | 7,434 | Refactor `Dataset.map` to reuse cache files mapped with different `num_proc` | {
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"@lhoestq please let me know what you think about this.",
"It looks like I can't change the merge target to #7435, so it will look like there is a bunch of extra stuff until #7435 is in main.",
"@lhoestq Thanks so much for reviewing #7435! Now that that's merged, I think this PR is ready!! Can you kick off CI w... | 2025-03-04T06:12:37Z | 2025-05-14T10:45:10Z | 2025-05-12T15:14:08Z | NONE | null | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes #7433
This refactor unifies `num_proc is None or num_proc == 1` and `num_proc > 1`; instead of handling them completely separately where one uses a list of kwargs and shards and the other just uses a single set of kwargs and `self`, by wrapping the `num_proc == 1` case in a list and making the difference just ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7433 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7433/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7433/comments | https://api.github.com/repos/huggingface/datasets/issues/7433/events | https://github.com/huggingface/datasets/issues/7433 | 2,890,240,400 | I_kwDODunzps6sRZGQ | 7,433 | `Dataset.map` ignores existing caches and remaps when ran with different `num_proc` | {
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"This feels related: https://github.com/huggingface/datasets/issues/3044",
"@lhoestq This comment specifically, I agree:\n\n* https://github.com/huggingface/datasets/issues/3044#issuecomment-1239877570\n\n> Almost a year later and I'm in a similar boat. Using custom fingerprints and when using multiprocessing the... | 2025-03-03T05:51:26Z | 2025-05-12T15:14:09Z | 2025-05-12T15:14:09Z | NONE | null | null | null | null | ### Describe the bug
If you `map` a dataset and save it to a specific `cache_file_name` with a specific `num_proc`, and then call map again with that same existing `cache_file_name` but a different `num_proc`, the dataset will be re-mapped.
### Steps to reproduce the bug
1. Download a dataset
```python
import datase... | {
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https://api.github.com/repos/huggingface/datasets/issues/7432 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7432/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7432/comments | https://api.github.com/repos/huggingface/datasets/issues/7432/events | https://github.com/huggingface/datasets/pull/7432 | 2,887,717,289 | PR_kwDODunzps6M-DI0 | 7,432 | Fix type annotation | {
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"Thanks ! There is https://github.com/huggingface/datasets/pull/7426 already that fixes the issue, I'm closing your PR if you don't mind"
] | 2025-02-28T17:28:20Z | 2025-03-04T15:53:03Z | 2025-03-04T15:53:03Z | CONTRIBUTOR | null | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/7431 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7431/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7431/comments | https://api.github.com/repos/huggingface/datasets/issues/7431/events | https://github.com/huggingface/datasets/issues/7431 | 2,887,244,074 | I_kwDODunzps6sF9kq | 7,431 | Issues with large Datasets | {
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"what's the error message ?",
"This was the final error message that it was giving pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0",
"Here is the list of errors:\n\nTraceback (most recent call last):\n File \".venv/lib/python3.12/site-packages/datasets/packaged_modul... | 2025-02-28T14:05:22Z | 2025-03-04T15:02:26Z | null | NONE | null | null | null | null | ### Describe the bug
If the coco annotation file is too large the dataset will not be able to load it, not entirely sure were the issue is but I am guessing it is due to the code trying to load it all as one line into a dataframe. This was for object detections.
My current work around is the following code but would ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7430 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7430/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7430/comments | https://api.github.com/repos/huggingface/datasets/issues/7430/events | https://github.com/huggingface/datasets/issues/7430 | 2,886,922,573 | I_kwDODunzps6sEvFN | 7,430 | Error in code "Time to slice and dice" from course "NLP Course" | {
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"You should open an issue in the NLP course website / github page. I'm closing this issue if you don't mind",
"ok, i don't mind, i'll mark the error there"
] | 2025-02-28T11:36:10Z | 2025-03-05T11:32:47Z | 2025-03-03T17:52:15Z | NONE | null | null | null | null | ### Describe the bug
When we execute code
```
frequencies = (
train_df["condition"]
.value_counts()
.to_frame()
.reset_index()
.rename(columns={"index": "condition", "condition": "frequency"})
)
frequencies.head()
```
answer should be like this
condition | frequency
birth control | 27655
dep... | {
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https://api.github.com/repos/huggingface/datasets/issues/7429 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7429/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7429/comments | https://api.github.com/repos/huggingface/datasets/issues/7429/events | https://github.com/huggingface/datasets/pull/7429 | 2,886,806,513 | PR_kwDODunzps6M67Jd | 7,429 | Improved type annotation | {
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"@lhoestq Could someone please take a quick look or let me know if there’s anything I should change? Thanks!",
"could you fix the conflicts ? I think some type annotations have been improved since your first commit",
"It should be good now.\r\nI'm happy to add more annotations or refine further if needed—just ... | 2025-02-28T10:39:10Z | 2025-05-15T12:27:17Z | null | NONE | null | null | 0 | {
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} | I've refined several type annotations throughout the codebase to align with current best practices and enhance overall clarity. Given the complexity of the code, there may still be areas that need further attention. I welcome any feedback or suggestions to make these improvements even better.
- Fixes #7202 | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7428 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7428/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7428/comments | https://api.github.com/repos/huggingface/datasets/issues/7428/events | https://github.com/huggingface/datasets/pull/7428 | 2,886,111,651 | PR_kwDODunzps6M4kW8 | 7,428 | Use pyupgrade --py39-plus | {
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"Hi ! can you run `make style` to fix code formatting ?",
"@lhoestq Fixed",
"The docs for this PR live [here](/static-proxy?url=https%3A%2F%2Fmoon-ci-docs.huggingface.co%2Fdocs%2Fdatasets%2Fpr_7428). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2025-02-28T03:39:44Z | 2025-03-22T00:51:20Z | 2025-03-05T15:04:16Z | CONTRIBUTOR | null | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/7427 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7427/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7427/comments | https://api.github.com/repos/huggingface/datasets/issues/7427/events | https://github.com/huggingface/datasets/issues/7427 | 2,886,032,571 | I_kwDODunzps6sBVy7 | 7,427 | Error splitting the input into NAL units. | {
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"First time I see this error :/ maybe it's an issue with your version of `multiprocess` and `dill` ? Make sure they are compatible with `datasets`",
"> First time I see this error :/ maybe it's an issue with your version of `multiprocess` and `dill` ? Make sure they are compatible with `datasets`\n\nany recommend... | 2025-02-28T02:30:15Z | 2025-03-04T01:40:28Z | null | NONE | null | null | null | null | ### Describe the bug
I am trying to finetune qwen2.5-vl on 16 * 80G GPUS, and I use `LLaMA-Factory` and set `preprocessing_num_workers=16`. However, I met the following error and the program seem to got crush. It seems that the error come from `datasets` library
The error logging is like following:
```text
Convertin... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7426 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7426/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7426/comments | https://api.github.com/repos/huggingface/datasets/issues/7426/events | https://github.com/huggingface/datasets/pull/7426 | 2,883,754,507 | PR_kwDODunzps6Mwe6B | 7,426 | fix: None default with bool type on load creates typing error | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Hello!
Pyright flags any use of `load_dataset` as an error, because the default for `trust_remote_code` is `None`, but the function is typed as `bool`, not `Optional[bool]`. I changed the type and docstrings to reflect this, but no other code was touched.
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https://api.github.com/repos/huggingface/datasets/issues/7425 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7425/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7425/comments | https://api.github.com/repos/huggingface/datasets/issues/7425/events | https://github.com/huggingface/datasets/issues/7425 | 2,883,684,686 | I_kwDODunzps6r4YlO | 7,425 | load_dataset("livecodebench/code_generation_lite", version_tag="release_v2") TypeError: 'NoneType' object is not callable | {
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"> datasets\n\nHi, have you solved this bug? Today I also met the same problem about `livecodebench/code_generation_lite` when evaluating the `Open-R1` repo. I am looking forward to your reply!\n\n",
"Hey guys,\nI tried to re... | 2025-02-27T07:36:02Z | 2025-03-27T05:05:33Z | null | NONE | null | null | null | null | ### Describe the bug
from datasets import load_dataset
lcb_codegen = load_dataset("livecodebench/code_generation_lite", version_tag="release_v2")
or
configs = get_dataset_config_names("livecodebench/code_generation_lite", trust_remote_code=True)
both error:
Traceback (most recent call last):
File "", line 1, in
File... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7424 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7424/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7424/comments | https://api.github.com/repos/huggingface/datasets/issues/7424/events | https://github.com/huggingface/datasets/pull/7424 | 2,882,663,621 | PR_kwDODunzps6Ms1Qx | 7,424 | Faster folder based builder + parquet support + allow repeated media + use torchvideo | {
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"The docs for this PR live [here](/static-proxy?url=https%3A%2F%2Fmoon-ci-docs.huggingface.co%2Fdocs%2Fdatasets%2Fpr_7424). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2025-02-26T19:55:18Z | 2025-03-05T18:51:00Z | 2025-03-05T17:41:23Z | MEMBER | null | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This will be useful for LeRobotDataset (robotics datasets for [lerobot](https://github.com/huggingface/lerobot) based on videos)
Impacted builders:
- ImageFolder
- AudioFolder
- VideoFolder
Improvements:
- faster to stream (got a 5x speed up on an image dataset)
- improved RAM usage
- support for metadata.p... | {
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https://api.github.com/repos/huggingface/datasets/issues/7423 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7423/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7423/comments | https://api.github.com/repos/huggingface/datasets/issues/7423/events | https://github.com/huggingface/datasets/issues/7423 | 2,879,271,409 | I_kwDODunzps6rnjHx | 7,423 | Row indexing a dataset with numpy integers | {
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"Would be cool to be consistent when it comes to indexing with numpy objects, if we do accept numpy arrays we should indeed accept numpy integers. Your idea sounds reasonable, I'd also be in favor of adding a simple test as well"
] | 2025-02-25T18:44:45Z | 2025-03-03T17:55:24Z | null | NONE | null | null | null | null | ### Feature request
Allow indexing datasets with a scalar numpy integer type.
### Motivation
Indexing a dataset with a scalar numpy.int* object raises a TypeError. This is due to the test in `datasets/formatting/formatting.py:key_to_query_type`
``` python
def key_to_query_type(key: Union[int, slice, range, str, Ite... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7421 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7421/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7421/comments | https://api.github.com/repos/huggingface/datasets/issues/7421/events | https://github.com/huggingface/datasets/issues/7421 | 2,878,369,052 | I_kwDODunzps6rkG0c | 7,421 | DVC integration broken | {
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"Unfortunately `url` is a reserved argument in `fsspec.url_to_fs`, so ideally file system implementations like DVC should use another argument name to avoid this kind of errors"
] | 2025-02-25T13:14:31Z | 2025-03-03T17:42:02Z | null | NONE | null | null | null | null | ### Describe the bug
The DVC integration seems to be broken.
Followed this guide: https://dvc.org/doc/user-guide/integrations/huggingface
### Steps to reproduce the bug
#### Script to reproduce
~~~python
from datasets import load_dataset
dataset = load_dataset(
"csv",
data_files="dvc://workshop/satellite-d... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7420 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7420/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7420/comments | https://api.github.com/repos/huggingface/datasets/issues/7420/events | https://github.com/huggingface/datasets/issues/7420 | 2,876,281,928 | I_kwDODunzps6rcJRI | 7,420 | better correspondence between cached and saved datasets created using from_generator | {
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] | open | false | null | [] | null | [] | 2025-02-24T22:14:37Z | 2025-02-26T03:10:22Z | null | CONTRIBUTOR | null | null | null | null | ### Feature request
At the moment `.from_generator` can only create a dataset that lives in the cache. The cached dataset cannot be loaded with `load_from_disk` because the cache folder is missing `state.json`. So the only way to convert this cached dataset to a regular is to use `save_to_disk` which needs to create a... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7419 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7419/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7419/comments | https://api.github.com/repos/huggingface/datasets/issues/7419/events | https://github.com/huggingface/datasets/issues/7419 | 2,875,635,320 | I_kwDODunzps6rZrZ4 | 7,419 | Import order crashes script execution | {
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Hello,
I'm trying to convert an HF dataset into a TFRecord so I'm importing `tensorflow` and `datasets` to do so.
Depending in what order I'm importing those librairies, my code hangs forever and is unkillable (CTRL+C doesn't work, I need to kill my shell entirely).
Thank you for your help
🙏
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7418 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7418/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7418/comments | https://api.github.com/repos/huggingface/datasets/issues/7418/events | https://github.com/huggingface/datasets/issues/7418 | 2,868,701,471 | I_kwDODunzps6q_Okf | 7,418 | pyarrow.lib.arrowinvalid: cannot mix list and non-list, non-null values with map function | {
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"@lhoestq ",
"Can you try passing text: None for the image object ? Pyarrow expects all the objects to have the exact same type, in particular the dicttionaries in \"content\" should all have the keys \"type\" and \"text\"",
"The following modification on system prompt works, but it is different from the usual ... | 2025-02-21T10:58:06Z | 2025-02-25T15:26:46Z | null | NONE | null | null | null | null | ### Describe the bug
Encounter pyarrow.lib.arrowinvalid error with map function in some example when loading the dataset
### Steps to reproduce the bug
```
from datasets import load_dataset
from PIL import Image, PngImagePlugin
dataset = load_dataset("leonardPKU/GEOQA_R1V_Train_8K")
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https://api.github.com/repos/huggingface/datasets/issues/7417 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7417/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7417/comments | https://api.github.com/repos/huggingface/datasets/issues/7417/events | https://github.com/huggingface/datasets/pull/7417 | 2,866,868,922 | PR_kwDODunzps6L78k3 | 7,417 | set dev version | {
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https://api.github.com/repos/huggingface/datasets/issues/7415 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7415/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7415/comments | https://api.github.com/repos/huggingface/datasets/issues/7415/events | https://github.com/huggingface/datasets/issues/7415 | 2,865,774,546 | I_kwDODunzps6q0D_S | 7,415 | Shard Dataset at specific indices | {
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"Hi ! if it's an option I'd suggest to have one sequence per row instead.\n\nOtherwise you'd have to make your own save/load mechanism",
"Saving one sequence per row is very difficult and heavy and makes all the optimizations pointless. How would a custom save/load mechanism look like?",
"You can use `pyarrow` ... | 2025-02-20T10:43:10Z | 2025-02-24T11:06:45Z | null | NONE | null | null | null | null | I have a dataset of sequences, where each example in the sequence is a separate row in the dataset (similar to LeRobotDataset). When running `Dataset.save_to_disk` how can I provide indices where it's possible to shard the dataset such that no episode spans more than 1 shard. Consequently, when I run `Dataset.load_from... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7414 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7414/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7414/comments | https://api.github.com/repos/huggingface/datasets/issues/7414/events | https://github.com/huggingface/datasets/pull/7414 | 2,863,798,756 | PR_kwDODunzps6LxjsH | 7,414 | Gracefully cancel async tasks | {
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https://api.github.com/repos/huggingface/datasets/issues/7413 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7413/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7413/comments | https://api.github.com/repos/huggingface/datasets/issues/7413/events | https://github.com/huggingface/datasets/issues/7413 | 2,860,947,582 | I_kwDODunzps6qhph- | 7,413 | Documentation on multiple media files of the same type with WebDataset | {
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"Yes this is correct and it works with huggingface datasets as well ! Feel free to include an example here: https://github.com/huggingface/datasets/blob/main/docs/source/video_dataset.mdx"
] | 2025-02-18T16:13:20Z | 2025-02-20T14:17:54Z | null | NONE | null | null | null | null | The [current documentation](https://huggingface.co/docs/datasets/en/video_dataset) on a creating a video dataset includes only examples with one media file and one json. It would be useful to have examples where multiple files of the same type are included. For example, in a sign language dataset, you may have a base v... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7412 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7412/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7412/comments | https://api.github.com/repos/huggingface/datasets/issues/7412/events | https://github.com/huggingface/datasets/issues/7412 | 2,859,433,710 | I_kwDODunzps6qb37u | 7,412 | Index Error Invalid Ket is out of bounds for size 0 for code-search-net/code_search_net dataset | {
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I am trying to do model pruning on sentence-transformers/all-mini-L6-v2 for the code-search-net/code_search_net dataset using INCTrainer class
However I am getting below error
```
raise IndexError(f"Invalid Key: {key is our of bounds for size {size}")
IndexError: Invalid key: 1840208 is out of b... | null | {
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"Thanks for the fix! We have been affected by this a lot when we try to use LLM Foundry ... | 2025-02-17T23:58:03Z | 2025-02-19T21:11:24Z | 2025-02-19T13:40:32Z | CONTRIBUTOR | null | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | https://github.com/huggingface/datasets/issues/6393 has plagued me on and off for a very long time. I have had various workarounds (one time combining two filter calls into one filter call removed the issue, another time making rank 0 go first resolved a cache race condition, one time i think upgrading the version of s... | {
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https://api.github.com/repos/huggingface/datasets/issues/7410 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7410/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7410/comments | https://api.github.com/repos/huggingface/datasets/issues/7410/events | https://github.com/huggingface/datasets/pull/7410 | 2,858,085,707 | PR_kwDODunzps6LeQBF | 7,410 | Set dev version | {
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https://api.github.com/repos/huggingface/datasets/issues/7409 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7409/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7409/comments | https://api.github.com/repos/huggingface/datasets/issues/7409/events | https://github.com/huggingface/datasets/pull/7409 | 2,858,079,508 | PR_kwDODunzps6LeOpY | 7,409 | Release: 3.3.1 | {
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https://api.github.com/repos/huggingface/datasets/issues/7408 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7408/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7408/comments | https://api.github.com/repos/huggingface/datasets/issues/7408/events | https://github.com/huggingface/datasets/pull/7408 | 2,858,012,313 | PR_kwDODunzps6Ld_-m | 7,408 | Fix filter speed regression | {
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