Datasets:
Add comments/2017-09 (167 shards, 83.2M rows)
Browse files- README.md +14 -11
- data/comments/2017/09/160.parquet +3 -0
- data/comments/2017/09/161.parquet +3 -0
- data/comments/2017/09/162.parquet +3 -0
- data/comments/2017/09/163.parquet +3 -0
- data/comments/2017/09/164.parquet +3 -0
- data/comments/2017/09/165.parquet +3 -0
- data/comments/2017/09/166.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 **5.
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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 ███████████████████████░░░░
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```
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**Submissions**
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@@ -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 |
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| submissions | 171 | 1.5B | 191.8 GB |
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| **Total** | **
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### Monthly breakdown
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<details>
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<summary>Click to expand full monthly table (
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| Month | Type | .zst Size | Download | Process | Upload | Shards | Rows | Parquet |
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|-------|------|----------:|-------:|-------:|-------:|-------:|-------:|-------:|
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| 2017-07 | submissions | - | - | 72m56s | 1m39s | 20 | 9,989,122 | 1.2 GB |
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| 2017-08 | comments | - | 54m30s | 161m30s | 10m09s | 170 | 84,658,503 | 7.3 GB |
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| 2017-08 | submissions | - | 12m46s | 71m50s | 2m06s | 21 | 10,424,133 | 1.3 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, 192 GB free). Auto-updated every ~5 minutes.
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**Started:** 2026-04-05 20:37 UTC / **Elapsed:**
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### Active Workers
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| Stage | Month | Type | Progress |
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|-------|-------|------|----------|
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-
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### Throughput
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| Metric | Value |
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|--------|------:|
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| Download | 19 Mbps avg |
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| Processing |
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| Upload | 277.9s per commit avg |
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| ETA | 2026-04-
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### Progress
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| Rows processed | 105.1M |
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| Data committed | 9.8 GB |
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*Last update: 2026-04-06 04:
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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: 2026-04-06 04:
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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 **5.1B items** (3.6B comments, 1.5B submissions) in **498.4 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 ██████████████████████████░░░░ 716.1M
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```
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**Submissions**
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| Type | Months | Rows | Parquet Size |
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|------|-------:|-----:|-------------:|
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| comments | 142 | 3.6B | 306.6 GB |
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| submissions | 171 | 1.5B | 191.8 GB |
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| **Total** | **142** | **5.1B** | **498.4 GB** |
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### Monthly breakdown
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<details>
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<summary>Click to expand full monthly table (142 comment months + 171 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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| 527 |
| 2017-07 | submissions | - | - | 72m56s | 1m39s | 20 | 9,989,122 | 1.2 GB |
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| 528 |
| 2017-08 | comments | - | 54m30s | 161m30s | 10m09s | 170 | 84,658,503 | 7.3 GB |
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| 529 |
| 2017-08 | submissions | - | 12m46s | 71m50s | 2m06s | 21 | 10,424,133 | 1.3 GB |
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| 2017-09 | comments | - | - | 168m39s | - | 167 | 83,165,192 | 7.2 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, 192 GB free). Auto-updated every ~5 minutes.
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**Started:** 2026-04-05 20:37 UTC / **Elapsed:** 8h 4m / **Committed this session:** 3
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### Active Workers
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| Stage | Month | Type | Progress |
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|-------|-------|------|----------|
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| Downloading | 2017-11 | comments | 2.8 GB / 7.2 GB (38%) |
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| Processing | 2017-09 | submissions | shard 4 · 2.0M rows · 112.3K rows/s |
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| Uploading | 2017-09 | comments | 167 shards · 83.2M rows · committing |
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### Throughput
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| Metric | Value |
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|--------|------:|
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| Download | 19 Mbps avg |
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| Processing | 5.4K rows/s avg |
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| Upload | 277.9s per commit avg |
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| ETA | 2026-04-25 18:10 UTC |
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### Progress
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| Rows processed | 105.1M |
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| Data committed | 9.8 GB |
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*Last update: 2026-04-06 04:41 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: 2026-04-06 04:41 UTC*
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data/comments/2017/09/160.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:659461133281facb71e4725493528b46a28240d2ab3c856aa5e75229bdd3172f
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size 47608164
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data/comments/2017/09/161.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:4a6f2ad318c48c9cb85db9e2b970a83954e33e3efe61b40e09489173c604beed
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size 45882641
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data/comments/2017/09/162.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:7628ec21e344e7981e5af17ab7ecda3e17af0c9c8c5827c95f20505b5507939c
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size 43228233
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data/comments/2017/09/163.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:c225da9b5833bad9b25337c33f4cef6861be992a19960a62ad56d523bf5c3006
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size 44717752
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data/comments/2017/09/164.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:5c9f019dcd30dd71dd0dcd37f558edafc75ca728eb654d25e302a53566e0160c
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size 45129224
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data/comments/2017/09/165.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:1639880a2a35533e3fa79609cd9d8698bfdedaeab69a1e5134e18d17d848f625
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size 43481723
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data/comments/2017/09/166.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:ab133cf87c1ea0260d2e6a0d62af8bd5d4eb4a9dd82efab31e572d0a21dd04ab
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size 14242328
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stats.csv
CHANGED
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@@ -280,7 +280,8 @@ year,month,type,shards,count,size_bytes,zst_bytes,dur_download_s,dur_process_s,d
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2017,7,comments,164,81798725,7650787255,0,2786.28,11069.78,0.00,2026-04-05T20:28:50Z
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2017,7,submissions,20,9989122,1329478946,0,0.00,4376.50,98.75,2026-04-05T21:50:25Z
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2017,8,comments,170,84658503,7861496591,0,3269.93,9689.86,608.54,2026-04-06T00:31:55Z
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-
2017,8,submissions,21,10424133,1374696156,0,765.99,4309.54,
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2017,11,submissions,21,10377379,1359465934,2313597673,502.64,4750.99,175.00,2026-03-21T01:34:51Z
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| 285 |
2018,1,submissions,23,11306843,1486493503,2605287865,536.02,5688.66,194.12,2026-03-20T23:42:25Z
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| 286 |
2019,11,submissions,43,21243315,2326097927,5937769829,587.53,1560.69,326.56,2026-03-20T16:58:15Z
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2017,7,comments,164,81798725,7650787255,0,2786.28,11069.78,0.00,2026-04-05T20:28:50Z
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| 281 |
2017,7,submissions,20,9989122,1329478946,0,0.00,4376.50,98.75,2026-04-05T21:50:25Z
|
| 282 |
2017,8,comments,170,84658503,7861496591,0,3269.93,9689.86,608.54,2026-04-06T00:31:55Z
|
| 283 |
+
2017,8,submissions,21,10424133,1374696156,0,765.99,4309.54,126.50,2026-04-06T01:43:45Z
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| 284 |
+
2017,9,comments,167,83165192,7682288039,0,0.00,10118.71,0.00,2026-04-06T04:32:23Z
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| 285 |
2017,11,submissions,21,10377379,1359465934,2313597673,502.64,4750.99,175.00,2026-03-21T01:34:51Z
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| 286 |
2018,1,submissions,23,11306843,1486493503,2605287865,536.02,5688.66,194.12,2026-03-20T23:42:25Z
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| 287 |
2019,11,submissions,43,21243315,2326097927,5937769829,587.53,1560.69,326.56,2026-03-20T16:58:15Z
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