tamnd commited on
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1 Parent(s): 1e84e40

Add comments/2017-02 (142 shards, 70.6M rows)

Browse files
README.md CHANGED
@@ -53,7 +53,7 @@ task_categories:
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  The full Reddit archive from [Arctic Shift](https://github.com/ArthurHeitmann/arctic_shift), converted to Parquet and hosted here for easy access. Covers every public subreddit from **2005-12** through **2026-02**.
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- Right now the archive has **4.4B items** (2.9B comments, 1.5B submissions) in **433.7 GB** of compressed Parquet. Comments and submissions are stored as separate datasets, split into monthly shards you can load individually or stream together.
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  Reddit has been around since 2005. Millions of people use it to talk about everything - programming, sports, cooking, politics, niche hobbies. That makes it one of the best sources of natural conversation data for language model training, sentiment analysis, community research, and information retrieval. Most Reddit datasets only cover specific subreddits or time windows. This one covers all of it.
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@@ -98,7 +98,7 @@ states.json live pipeline state (updated every ~5 min)
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  2014 ███████████████████░░░░░░░░░░░ 531.8M
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  2015 █████████████████████████░░░░░ 667.8M
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  2016 ██████████████████████████████ 799.9M
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- 2017 ██░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 78.9M
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  ```
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  **Submissions**
@@ -234,14 +234,14 @@ huggingface-cli download open-index/arctic \
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  | Type | Months | Rows | Parquet Size |
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  |------|-------:|-----:|-------------:|
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- | comments | 134 | 2.9B | 251.4 GB |
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  | submissions | 163 | 1.5B | 182.4 GB |
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- | **Total** | **134** | **4.4B** | **433.7 GB** |
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  ### Monthly breakdown
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  <details>
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- <summary>Click to expand full monthly table (134 comment months + 163 submission months)</summary>
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  | Month | Type | .zst Size | Download | Process | Upload | Shards | Rows | Parquet |
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  |-------|------|----------:|-------:|-------:|-------:|-------:|-------:|-------:|
@@ -512,6 +512,7 @@ huggingface-cli download open-index/arctic \
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  | 2016-12 | comments | - | 53m09s | 141m36s | 9m51s | 146 | 72,942,967 | 6.3 GB |
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  | 2016-12 | submissions | - | 5m37s | 6m25s | 1m41s | 18 | 8,921,474 | 1.1 GB |
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  | 2017-01 | comments | - | 12m55s | 151m56s | 10m23s | 158 | 78,946,585 | 6.9 GB |
 
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  | 2017-11 | submissions | 2.2 GB | 8m23s | 79m11s | 2m55s | 21 | 10,377,379 | 1.3 GB |
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  | 2018-01 | submissions | 2.4 GB | 8m56s | 94m49s | 3m14s | 23 | 11,306,843 | 1.4 GB |
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  | 2019-11 | submissions | 5.5 GB | 9m48s | 26m01s | 5m27s | 43 | 21,243,315 | 2.2 GB |
@@ -573,13 +574,15 @@ ORDER BY year, month, type;
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  > Pipelined ingestion running on **doge-01** (4 cores, 6 GB RAM, 212 GB free). Auto-updated every ~5 minutes.
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- **Started:** 2026-04-04 07:46 UTC / **Elapsed:** 9h 50m / **Committed this session:** 5
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  ### Active Workers
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  | Stage | Month | Type | Progress |
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  |-------|-------|------|----------|
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- | Processing | 2017-02 | comments | shard 131 · 65.5M rows · 196.9K rows/s |
 
 
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  ### Throughput
@@ -587,9 +590,9 @@ ORDER BY year, month, type;
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  | Metric | Value |
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  |--------|------:|
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  | Download | 35 Mbps avg |
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- | Processing | 14.8K rows/s avg |
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  | Upload | 429.1s per commit avg |
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- | ETA | 2026-04-20 16:33 UTC |
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  ### Progress
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@@ -601,7 +604,7 @@ ORDER BY year, month, type;
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  | Rows processed | 240.5M |
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  | Data committed | 21.5 GB |
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- *Last update: 2026-04-04 17:36 UTC*
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  # Dataset card for Arctic Shift Reddit Archive
@@ -785,4 +788,4 @@ All the data here comes from [Arctic Shift](https://github.com/ArthurHeitmann/ar
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  Questions, feedback, or issues - open a discussion on the [Community tab](https://huggingface.co/datasets/open-index/arctic/discussions).
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- *Last updated: 2026-04-04 17:36 UTC*
 
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  The full Reddit archive from [Arctic Shift](https://github.com/ArthurHeitmann/arctic_shift), converted to Parquet and hosted here for easy access. Covers every public subreddit from **2005-12** through **2026-02**.
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+ Right now the archive has **4.5B items** (3.0B comments, 1.5B submissions) in **439.9 GB** of compressed Parquet. Comments and submissions are stored as separate datasets, split into monthly shards you can load individually or stream together.
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  Reddit has been around since 2005. Millions of people use it to talk about everything - programming, sports, cooking, politics, niche hobbies. That makes it one of the best sources of natural conversation data for language model training, sentiment analysis, community research, and information retrieval. Most Reddit datasets only cover specific subreddits or time windows. This one covers all of it.
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  2014 ███████████████████░░░░░░░░░░░ 531.8M
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  2015 █████████████████████████░░░░░ 667.8M
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  2016 ██████████████████████████████ 799.9M
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+ 2017 █████░░░░░░░░░░░░░░░░░░░░░░░░░ 149.6M
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  ```
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  **Submissions**
 
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  | Type | Months | Rows | Parquet Size |
236
  |------|-------:|-----:|-------------:|
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+ | comments | 135 | 3.0B | 257.5 GB |
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  | submissions | 163 | 1.5B | 182.4 GB |
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+ | **Total** | **135** | **4.5B** | **439.9 GB** |
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241
  ### Monthly breakdown
242
 
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  <details>
244
+ <summary>Click to expand full monthly table (135 comment months + 163 submission months)</summary>
245
 
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  | Month | Type | .zst Size | Download | Process | Upload | Shards | Rows | Parquet |
247
  |-------|------|----------:|-------:|-------:|-------:|-------:|-------:|-------:|
 
512
  | 2016-12 | comments | - | 53m09s | 141m36s | 9m51s | 146 | 72,942,967 | 6.3 GB |
513
  | 2016-12 | submissions | - | 5m37s | 6m25s | 1m41s | 18 | 8,921,474 | 1.1 GB |
514
  | 2017-01 | comments | - | 12m55s | 151m56s | 10m23s | 158 | 78,946,585 | 6.9 GB |
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+ | 2017-02 | comments | - | 11m53s | 133m57s | - | 142 | 70,609,487 | 6.2 GB |
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  | 2017-11 | submissions | 2.2 GB | 8m23s | 79m11s | 2m55s | 21 | 10,377,379 | 1.3 GB |
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  | 2018-01 | submissions | 2.4 GB | 8m56s | 94m49s | 3m14s | 23 | 11,306,843 | 1.4 GB |
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  | 2019-11 | submissions | 5.5 GB | 9m48s | 26m01s | 5m27s | 43 | 21,243,315 | 2.2 GB |
 
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  > Pipelined ingestion running on **doge-01** (4 cores, 6 GB RAM, 212 GB free). Auto-updated every ~5 minutes.
576
 
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+ **Started:** 2026-04-04 07:46 UTC / **Elapsed:** 10h 9m / **Committed this session:** 5
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  ### Active Workers
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  | Stage | Month | Type | Progress |
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  |-------|-------|------|----------|
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+ | Downloading | 2017-04 | comments | 650.3 MB / 6.6 GB (9%) |
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+ | Processing | 2017-02 | submissions | shard 2 · 1.0M rows · 78.4K rows/s |
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+ | Uploading | 2017-02 | comments | 142 shards · 70.6M rows · committing |
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  ### Throughput
 
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  | Metric | Value |
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  |--------|------:|
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  | Download | 35 Mbps avg |
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+ | Processing | 13.8K rows/s avg |
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  | Upload | 429.1s per commit avg |
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+ | ETA | 2026-04-20 19:54 UTC |
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  ### Progress
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  | Rows processed | 240.5M |
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  | Data committed | 21.5 GB |
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+ *Last update: 2026-04-04 17:55 UTC*
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  # Dataset card for Arctic Shift Reddit Archive
 
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  Questions, feedback, or issues - open a discussion on the [Community tab](https://huggingface.co/datasets/open-index/arctic/discussions).
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+ *Last updated: 2026-04-04 17:55 UTC*
data/comments/2017/02/140.parquet ADDED
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states.json CHANGED
@@ -1,14 +1,12 @@
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- "updated_at": "2026-04-04T17:36:44.276335488Z",
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  "current": {
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  "ym": "2017-02",
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  },
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  "hardware": {
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  "hostname": "doge-01",
@@ -30,26 +28,42 @@
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  "sequential": false
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  "pipeline": {
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- "downloading": null,
 
 
 
 
 
 
 
 
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  "processing": [
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  {
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  "ym": "2017-02",
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- "type": "comments",
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- "rows_per_sec": 196909.10121903665,
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  "phase": "processing"
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- "uploading": null,
 
 
 
 
 
 
 
 
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- "avg_process_rows_per_sec": 14813.452509038805,
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  "avg_upload_sec_per_commit": 429.1368577338,
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- "estimated_completion": "2026-04-21T00:33:15.684695779+08:00"
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  "stats": {
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  "committed": 5,
 
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+ "phase": "committing"
 
 
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  "sequential": false
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stats.csv CHANGED
@@ -263,9 +263,10 @@ year,month,type,shards,count,size_bytes,zst_bytes,dur_download_s,dur_process_s,d
263
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  2016,11,comments,143,71022319,6564029081,0,0.00,8500.86,728.92,2026-04-04T10:08:40Z
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  2016,11,submissions,18,8660144,1155018682,0,557.34,342.17,102.20,2026-04-04T10:20:50Z
266
- 2016,12,comments,146,72942967,6771191486,0,3188.65,8495.64,0.00,2026-04-04T15:33:13Z
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  2016,12,submissions,18,8921474,1203010841,0,337.18,385.27,101.47,2026-04-04T10:26:35Z
268
  2017,1,comments,158,78946585,7401009573,0,775.20,9115.75,622.52,2026-04-04T13:11:37Z
 
269
  2017,11,submissions,21,10377379,1359465934,2313597673,502.64,4750.99,175.00,2026-03-21T01:34:51Z
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  2018,1,submissions,23,11306843,1486493503,2605287865,536.02,5688.66,194.12,2026-03-20T23:42:25Z
271
  2019,11,submissions,43,21243315,2326097927,5937769829,587.53,1560.69,326.56,2026-03-20T16:58:15Z
 
263
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