tamnd commited on
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1 Parent(s): b3b812c

Add submissions/2019-02 (32 shards, 15.7M 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 **7.0B items** (5.3B comments, 1.7B submissions) in **666.1 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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@@ -120,7 +120,7 @@ states.json live pipeline state (updated every ~5 min)
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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 ██░░░░░░░░░░░░░░░░░░░░░░░░░░░ 37.7M
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  2023 ██░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 39.2M
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  2024 ████████████████████████████░░ 477.4M
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  2025 ██████████████████████████████ 494.3M
@@ -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 | 159 | 5.3B | 451.6 GB |
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- | submissions | 186 | 1.7B | 214.5 GB |
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- | **Total** | **159** | **7.0B** | **666.1 GB** |
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  ### Monthly breakdown
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245
  <details>
246
- <summary>Click to expand full monthly table (159 comment months + 186 submission months)</summary>
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  | Month | Type | .zst Size | Download | Process | Upload | Shards | Rows | Parquet |
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  |-------|------|----------:|-------:|-------:|-------:|-------:|-------:|-------:|
@@ -564,6 +564,7 @@ huggingface-cli download open-index/arctic \
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  | 2019-01 | comments | - | 29m59s | 49m09s | 17m51s | 259 | 129,386,587 | 10.5 GB |
565
  | 2019-01 | submissions | - | 6m25s | 21m32s | 2m47s | 33 | 16,445,391 | 2.0 GB |
566
  | 2019-02 | comments | - | 26m52s | 50m29s | 15m29s | 242 | 120,645,639 | 9.7 GB |
 
567
  | 2019-11 | submissions | 5.5 GB | 9m48s | 26m01s | 5m27s | 43 | 21,243,315 | 2.2 GB |
568
  | 2023-12 | submissions | 15.2 GB | 30m19s | 76m33s | 26m24s | 79 | 39,245,797 | 4.4 GB |
569
  | 2024-01 | submissions | 16.1 GB | 183m48s | 126m12s | 21m25s | 83 | 41,263,034 | 4.7 GB |
@@ -623,24 +624,25 @@ ORDER BY year, month, type;
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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:** 38h 10m / **Committed this session:** 15
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628
  ### Active Workers
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  | Stage | Month | Type | Progress |
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  |-------|-------|------|----------|
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- | Downloading | 2019-04 | comments | 13.7 GB / 14.5 GB (94%) |
633
- | Processing | 2019-02 | submissions | shard 31 · 15.5M rows · 88.1K rows/s |
 
634
 
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  ### Throughput
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  | Metric | Value |
639
  |--------|------:|
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- | Download | 53 Mbps avg |
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- | Processing | 28.3K rows/s avg |
642
  | Upload | 562.7s per commit avg |
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- | ETA | 2026-04-27 06:26 UTC |
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  ### Progress
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@@ -652,7 +654,7 @@ ORDER BY year, month, type;
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  | Rows processed | 1.0B |
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  | Data committed | 86.1 GB |
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- *Last update: 2026-04-10 18:49 UTC*
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  # Dataset card for Arctic Shift Reddit Archive
@@ -836,4 +838,4 @@ 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).
838
 
839
- *Last updated: 2026-04-10 18:49 UTC*
 
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54
  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**.
55
 
56
+ Right now the archive has **7.1B items** (5.3B comments, 1.7B submissions) in **667.9 GB** of compressed Parquet. Comments and submissions are stored as separate datasets, split into monthly shards you can load individually or stream together.
57
 
58
  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.
59
 
 
120
  2016 █████░░░░░░░░░░░░░░░░░░░░░░░░░ 90.6M
121
  2017 ███████░░░░░░░░░░░░░░░░░░░░░░░ 117.2M
122
  2018 █████████░░░░░░░░░░░░░░░░░░░░░ 152.4M
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+ 2019 ██░░░░░░░░░░░░░░░░░░░░░░░░░░░ 53.4M
124
  2023 ██░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 39.2M
125
  2024 ████████████████████████████░░ 477.4M
126
  2025 ██████████████████████████████ 494.3M
 
237
  | Type | Months | Rows | Parquet Size |
238
  |------|-------:|-----:|-------------:|
239
  | comments | 159 | 5.3B | 451.6 GB |
240
+ | submissions | 187 | 1.7B | 216.3 GB |
241
+ | **Total** | **159** | **7.1B** | **667.9 GB** |
242
 
243
  ### Monthly breakdown
244
 
245
  <details>
246
+ <summary>Click to expand full monthly table (159 comment months + 187 submission months)</summary>
247
 
248
  | Month | Type | .zst Size | Download | Process | Upload | Shards | Rows | Parquet |
249
  |-------|------|----------:|-------:|-------:|-------:|-------:|-------:|-------:|
 
564
  | 2019-01 | comments | - | 29m59s | 49m09s | 17m51s | 259 | 129,386,587 | 10.5 GB |
565
  | 2019-01 | submissions | - | 6m25s | 21m32s | 2m47s | 33 | 16,445,391 | 2.0 GB |
566
  | 2019-02 | comments | - | 26m52s | 50m29s | 15m29s | 242 | 120,645,639 | 9.7 GB |
567
+ | 2019-02 | submissions | - | 8m27s | 17m12s | - | 32 | 15,743,620 | 1.8 GB |
568
  | 2019-11 | submissions | 5.5 GB | 9m48s | 26m01s | 5m27s | 43 | 21,243,315 | 2.2 GB |
569
  | 2023-12 | submissions | 15.2 GB | 30m19s | 76m33s | 26m24s | 79 | 39,245,797 | 4.4 GB |
570
  | 2024-01 | submissions | 16.1 GB | 183m48s | 126m12s | 21m25s | 83 | 41,263,034 | 4.7 GB |
 
624
 
625
  > Pipelined ingestion running on **doge-01** (4 cores, 6 GB RAM, 187 GB free). Auto-updated every ~5 minutes.
626
 
627
+ **Started:** 2026-04-09 04:39 UTC / **Elapsed:** 38h 31m / **Committed this session:** 15
628
 
629
  ### Active Workers
630
 
631
  | Stage | Month | Type | Progress |
632
  |-------|-------|------|----------|
633
+ | Downloading | 2019-04 | submissions | 891.9 MB / 5.2 GB (16%) |
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+ | Processing | 2019-03 | comments | shard 10 · 5.0M rows · 142.2K rows/s |
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+ | Uploading | 2019-02 | submissions | 32 shards · 15.7M rows · committing |
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637
 
638
  ### Throughput
639
 
640
  | Metric | Value |
641
  |--------|------:|
642
+ | Download | 54 Mbps avg |
643
+ | Processing | 27.4K rows/s avg |
644
  | Upload | 562.7s per commit avg |
645
+ | ETA | 2026-04-26 07:03 UTC |
646
 
647
  ### Progress
648
 
 
654
  | Rows processed | 1.0B |
655
  | Data committed | 86.1 GB |
656
 
657
+ *Last update: 2026-04-10 19:10 UTC*
658
 
659
 
660
  # Dataset card for Arctic Shift Reddit Archive
 
838
 
839
  Questions, feedback, or issues - open a discussion on the [Community tab](https://huggingface.co/datasets/open-index/arctic/discussions).
840
 
841
+ *Last updated: 2026-04-10 19:10 UTC*
data/submissions/2019/02/030.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:fc0065e34cb22d8660a5ef73881c712d626da4e64a4a9677fa89832f5fa32df0
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+ size 61988802
data/submissions/2019/02/031.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:9660c9c5da4a4f05efd264929e45b50315051d680c0a4281e028af98838503cb
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+ size 30037797
states.json CHANGED
@@ -1,14 +1,12 @@
1
  {
2
  "session_id": "2026-04-09T04:39:09Z",
3
  "started_at": "2026-04-09T04:39:09.035829799Z",
4
- "updated_at": "2026-04-10T18:49:08.61410922Z",
5
  "phase": "running",
6
  "current": {
7
  "ym": "2019-02",
8
  "type": "submissions",
9
- "phase": "processing",
10
- "shard": 23,
11
- "rows": 11000000
12
  },
13
  "hardware": {
14
  "hostname": "doge-01",
@@ -33,31 +31,39 @@
33
  "downloading": [
34
  {
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  "ym": "2019-04",
36
- "type": "comments",
37
- "bytes_done": 14727635111,
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- "bytes_total": 15531201485,
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  "phase": "downloading"
40
  }
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  ],
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  "processing": [
 
 
 
 
 
 
 
 
 
 
43
  {
44
  "ym": "2019-02",
45
  "type": "submissions",
46
- "shard": 31,
47
- "rows": 15500000,
48
- "rows_per_sec": 88107.2193542033,
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- "phase": "processing"
50
  }
51
  ],
52
- "uploading": null,
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  "queued_for_process": 0,
54
  "queued_for_upload": 0
55
  },
56
  "throughput": {
57
- "avg_download_mbps": 53.24092617047857,
58
- "avg_process_rows_per_sec": 28255.368268355767,
59
  "avg_upload_sec_per_commit": 562.7378406659333,
60
- "estimated_completion": "2026-04-27T14:26:01.752876206+08:00"
61
  },
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  "stats": {
63
  "committed": 15,
 
1
  {
2
  "session_id": "2026-04-09T04:39:09Z",
3
  "started_at": "2026-04-09T04:39:09.035829799Z",
4
+ "updated_at": "2026-04-10T19:10:09.027534843Z",
5
  "phase": "running",
6
  "current": {
7
  "ym": "2019-02",
8
  "type": "submissions",
9
+ "phase": "committing"
 
 
10
  },
11
  "hardware": {
12
  "hostname": "doge-01",
 
31
  "downloading": [
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  {
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  "ym": "2019-04",
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+ "type": "submissions",
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+ "bytes_done": 935176091,
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+ "bytes_total": 5587265157,
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  "phase": "downloading"
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  }
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  ],
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  "processing": [
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+ {
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+ "ym": "2019-03",
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+ "type": "comments",
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+ "shard": 10,
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+ "rows": 5000000,
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+ "rows_per_sec": 142226.79589210532,
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+ "uploading": [
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  {
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  "ym": "2019-02",
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  "type": "submissions",
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+ "rows": 15743620,
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+ "shards": 32,
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+ "phase": "committing"
 
57
  }
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  ],
 
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  "queued_for_process": 0,
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  "queued_for_upload": 0
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  },
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  "throughput": {
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+ "avg_download_mbps": 54.036607755959885,
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+ "avg_process_rows_per_sec": 27443.113944022058,
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  "avg_upload_sec_per_commit": 562.7378406659333,
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+ "estimated_completion": "2026-04-26T15:03:17.517115168+08:00"
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  },
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  "stats": {
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  "committed": 15,
stats.csv CHANGED
@@ -315,7 +315,8 @@ year,month,type,shards,count,size_bytes,zst_bytes,dur_download_s,dur_process_s,d
315
  2018,12,submissions,30,14894452,1896254666,0,656.30,1138.18,175.60,2026-04-10T16:19:49Z
316
  2019,1,comments,259,129386587,11309092572,0,1798.68,2949.31,1071.28,2026-04-10T17:08:58Z
317
  2019,1,submissions,33,16445391,2099705583,0,385.42,1292.33,166.92,2026-04-10T17:30:30Z
318
- 2019,2,comments,242,120645639,10390860025,0,1611.66,3029.28,0.00,2026-04-10T18:21:00Z
 
319
  2019,11,submissions,43,21243315,2326097927,5937769829,587.53,1560.69,326.56,2026-03-20T16:58:15Z
320
  2023,12,submissions,79,39245797,4677392012,16276396198,1818.56,4592.72,1583.54,2026-03-20T04:43:25Z
321
  2024,1,submissions,83,41263034,5079875152,17243608474,11027.97,7572.13,1285.05,2026-03-20T02:34:59Z
 
315
  2018,12,submissions,30,14894452,1896254666,0,656.30,1138.18,175.60,2026-04-10T16:19:49Z
316
  2019,1,comments,259,129386587,11309092572,0,1798.68,2949.31,1071.28,2026-04-10T17:08:58Z
317
  2019,1,submissions,33,16445391,2099705583,0,385.42,1292.33,166.92,2026-04-10T17:30:30Z
318
+ 2019,2,comments,242,120645639,10390860025,0,1611.66,3029.28,928.53,2026-04-10T18:21:00Z
319
+ 2019,2,submissions,32,15743620,1964639609,0,506.86,1031.74,0.00,2026-04-10T19:07:39Z
320
  2019,11,submissions,43,21243315,2326097927,5937769829,587.53,1560.69,326.56,2026-03-20T16:58:15Z
321
  2023,12,submissions,79,39245797,4677392012,16276396198,1818.56,4592.72,1583.54,2026-03-20T04:43:25Z
322
  2024,1,submissions,83,41263034,5079875152,17243608474,11027.97,7572.13,1285.05,2026-03-20T02:34:59Z