Add submissions/2019-04 (37 shards, 18.3M rows)
Browse files- README.md +20 -19
- data/submissions/2019/04/030.parquet +3 -0
- data/submissions/2019/04/031.parquet +3 -0
- data/submissions/2019/04/032.parquet +3 -0
- data/submissions/2019/04/033.parquet +3 -0
- data/submissions/2019/04/034.parquet +3 -0
- data/submissions/2019/04/035.parquet +3 -0
- data/submissions/2019/04/036.parquet +3 -0
- stats.csv +2 -1
README.md
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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 **7.4B items** (5.6B comments, 1.8B submissions) in **
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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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2016 █████░░░░░░░░░░░░░░░░░░░░░░░░░ 90.6M
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2017 ███████░░░░░░░░░░░░░░░░░░░░░░░ 117.2M
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2018 █████████░░░░░░░░░░░░░░░░░░░░░ 152.4M
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2019 ████░░░░░░░░░░░░░░░░░░░░░░░░░
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2023 ██░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 39.2M
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2024 ████████████████████████████░░ 477.4M
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| 126 |
2025 ██████████████████████████████ 494.3M
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@@ -237,13 +237,13 @@ huggingface-cli download open-index/arctic \
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| Type | Months | Rows | Parquet Size |
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|------|-------:|-----:|-------------:|
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| comments | 161 | 5.6B | 473.2 GB |
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| submissions |
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| **Total** | **161** | **7.4B** | **
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### Monthly breakdown
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<details>
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<summary>Click to expand full monthly table (161 comment months +
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| Month | Type | .zst Size | Download | Process | Upload | Shards | Rows | Parquet |
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|-------|------|----------:|-------:|-------:|-------:|-------:|-------:|-------:|
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| 2019-02 | submissions | - | 8m27s | 17m12s | 2m34s | 32 | 15,743,620 | 1.8 GB |
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| 2019-03 | comments | - | 24m10s | 60m32s | 17m11s | 276 | 137,650,471 | 11.0 GB |
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| 569 |
| 2019-03 | submissions | - | 11m41s | 22m59s | 3m18s | 37 | 18,412,519 | 2.4 GB |
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| 2019-04 | comments | - | 29m56s | 53m18s |
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| 2019-11 | submissions | 5.5 GB | 9m48s | 26m01s | 5m27s | 43 | 21,243,315 | 2.2 GB |
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| 2023-12 | submissions | 15.2 GB | 30m19s | 76m33s | 26m24s | 79 | 39,245,797 | 4.4 GB |
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| 2024-01 | submissions | 16.1 GB | 183m48s | 126m12s | 21m25s | 83 | 41,263,034 | 4.7 GB |
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> Pipelined ingestion running on **doge-01** (4 cores, 6 GB RAM, 187 GB free). Auto-updated every ~5 minutes.
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**Started:** 2026-04-09 04:39 UTC / **Elapsed:** 41h
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### Active Workers
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| Stage | Month | Type | Progress |
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|-------|-------|------|----------|
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| Downloading | 2019-06 | comments |
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| Processing | 2019-
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| Uploading | 2019-04 |
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### Throughput
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| Metric | Value |
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|--------|------:|
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| Download | 56 Mbps avg |
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| Processing |
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| Upload |
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| ETA | 2026-04-
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### Progress
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`████████████████████
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| Metric | This Session |
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|--------|-------------:|
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| Months committed |
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| Rows processed | 1.
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| Data committed |
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*Last update: 2026-04-10 21:
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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: 2026-04-10 21:
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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 **7.4B items** (5.6B comments, 1.8B submissions) in **694.2 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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2016 █████░░░░░░░░░░░░░░░░░░░░░░░░░ 90.6M
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2017 ███████░░░░░░░░░░░░░░░░░░░░░░░ 117.2M
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2018 █████████░░░░░░░░░░░░░░░░░░░░░ 152.4M
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2019 █████░░░░░░░░░░░░░░░░░░░░░░░░░ 90.2M
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2023 ██░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 39.2M
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2024 ████████████████████████████░░ 477.4M
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2025 ██████████████████████████████ 494.3M
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| Type | Months | Rows | Parquet Size |
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|------|-------:|-----:|-------------:|
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| comments | 161 | 5.6B | 473.2 GB |
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| submissions | 189 | 1.8B | 221.0 GB |
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| **Total** | **161** | **7.4B** | **694.2 GB** |
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### Monthly breakdown
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<details>
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<summary>Click to expand full monthly table (161 comment months + 189 submission months)</summary>
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| Month | Type | .zst Size | Download | Process | Upload | Shards | Rows | Parquet |
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|-------|------|----------:|-------:|-------:|-------:|-------:|-------:|-------:|
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| 2019-02 | submissions | - | 8m27s | 17m12s | 2m34s | 32 | 15,743,620 | 1.8 GB |
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| 568 |
| 2019-03 | comments | - | 24m10s | 60m32s | 17m11s | 276 | 137,650,471 | 11.0 GB |
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| 2019-03 | submissions | - | 11m41s | 22m59s | 3m18s | 37 | 18,412,519 | 2.4 GB |
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| 2019-04 | comments | - | 29m56s | 53m18s | 17m02s | 277 | 138,473,643 | 10.6 GB |
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| 2019-04 | submissions | - | 11m14s | 24m23s | - | 37 | 18,310,157 | 2.3 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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| 2023-12 | submissions | 15.2 GB | 30m19s | 76m33s | 26m24s | 79 | 39,245,797 | 4.4 GB |
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| 2024-01 | submissions | 16.1 GB | 183m48s | 126m12s | 21m25s | 83 | 41,263,034 | 4.7 GB |
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> Pipelined ingestion running on **doge-01** (4 cores, 6 GB RAM, 187 GB free). Auto-updated every ~5 minutes.
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**Started:** 2026-04-09 04:39 UTC / **Elapsed:** 41h 12m / **Committed this session:** 19
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### Active Workers
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| Stage | Month | Type | Progress |
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|-------|-------|------|----------|
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| Downloading | 2019-06 | comments | 12.8 GB / 14.6 GB (87%) |
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| Processing | 2019-05 | comments | shard 8 · 4.0M rows · 99.4K rows/s |
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| Uploading | 2019-04 | submissions | 37 shards · 18.3M rows · committing |
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### Throughput
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| Metric | Value |
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|--------|------:|
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| Download | 56 Mbps avg |
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| Processing | 27.3K rows/s avg |
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| Upload | 570.8s per commit avg |
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| ETA | 2026-04-23 15:16 UTC |
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### Progress
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`████████████��████████░░░░░░░░░` 349 / 490 (71.2%)
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| Metric | This Session |
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|--------|-------------:|
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| Months committed | 19 |
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| Rows processed | 1.3B |
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| Data committed | 112.0 GB |
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*Last update: 2026-04-10 21:51 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: 2026-04-10 21:51 UTC*
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data/submissions/2019/04/030.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:ee325035b95068d37aee88604b11eb4295faf3b1b05fb19fa6ba9718859e3cda
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size 63566052
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data/submissions/2019/04/031.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:c94126ef42d0ea412837a26e350948c68afa834510d03c4891874f716c5c496b
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size 61024296
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data/submissions/2019/04/032.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:27af2255b57faf94dc787c7c85b3327c9981184a0b1c000a2052328ef389a64f
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size 61461260
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data/submissions/2019/04/033.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:2b4444bb725c2660790e30ff04ca4c8140a328ee57d7a471094aaeb6c0fd200b
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size 60023762
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data/submissions/2019/04/034.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:77792a252eeb284db2b594f615d5923544f0fdeb0996b81fff6fc556ba8b59d8
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size 58039257
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data/submissions/2019/04/035.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:969dc06411d447dc48326584d645e82d886ee912a8a9148ee79739e51b0cc3cf
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size 64055577
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data/submissions/2019/04/036.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:9d8c29327c09d7855d3fa277bf23637e4463ac9f327bea689d05939002f8f2a0
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size 38098306
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stats.csv
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@@ -319,7 +319,8 @@ year,month,type,shards,count,size_bytes,zst_bytes,dur_download_s,dur_process_s,d
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2019,2,submissions,32,15743620,1964639609,0,506.86,1031.74,153.83,2026-04-10T19:07:39Z
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2019,3,comments,276,137650471,11864588888,0,1450.05,3632.06,1031.28,2026-04-10T20:08:11Z
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2019,3,submissions,37,18412519,2551796060,0,701.37,1379.49,197.52,2026-04-10T20:31:11Z
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2019,4,comments,277,138473643,11401951969,0,1796.13,3197.82,
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| 323 |
2019,11,submissions,43,21243315,2326097927,5937769829,587.53,1560.69,326.56,2026-03-20T16:58:15Z
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| 324 |
2023,12,submissions,79,39245797,4677392012,16276396198,1818.56,4592.72,1583.54,2026-03-20T04:43:25Z
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| 325 |
2024,1,submissions,83,41263034,5079875152,17243608474,11027.97,7572.13,1285.05,2026-03-20T02:34:59Z
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2019,2,submissions,32,15743620,1964639609,0,506.86,1031.74,153.83,2026-04-10T19:07:39Z
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2019,3,comments,276,137650471,11864588888,0,1450.05,3632.06,1031.28,2026-04-10T20:08:11Z
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| 321 |
2019,3,submissions,37,18412519,2551796060,0,701.37,1379.49,197.52,2026-04-10T20:31:11Z
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+
2019,4,comments,277,138473643,11401951969,0,1796.13,3197.82,1021.95,2026-04-10T21:24:29Z
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2019,4,submissions,37,18310157,2462880792,0,674.36,1462.81,0.00,2026-04-10T21:48:52Z
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2019,11,submissions,43,21243315,2326097927,5937769829,587.53,1560.69,326.56,2026-03-20T16:58:15Z
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| 325 |
2023,12,submissions,79,39245797,4677392012,16276396198,1818.56,4592.72,1583.54,2026-03-20T04:43:25Z
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| 326 |
2024,1,submissions,83,41263034,5079875152,17243608474,11027.97,7572.13,1285.05,2026-03-20T02:34:59Z
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