Datasets:
Add submissions/2019-03 (37 shards, 18.4M rows)
Browse files- README.md +21 -20
- data/submissions/2019/03/030.parquet +3 -0
- data/submissions/2019/03/031.parquet +3 -0
- data/submissions/2019/03/032.parquet +3 -0
- data/submissions/2019/03/033.parquet +3 -0
- data/submissions/2019/03/034.parquet +3 -0
- data/submissions/2019/03/035.parquet +3 -0
- data/submissions/2019/03/036.parquet +3 -0
- stats.csv +2 -1
README.md
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@@ -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 **7.2B items** (5.5B comments, 1.
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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 ███░░░░░░░░░░░░░░░░░░░░░░░░░░
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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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@@ -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 | 160 | 5.5B | 462.6 GB |
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| submissions |
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| **Total** | **160** | **7.2B** | **
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### Monthly breakdown
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<details>
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<summary>Click to expand full monthly table (160 comment months +
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| Month | Type | .zst Size | Download | Process | Upload | Shards | Rows | Parquet |
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|-------|------|----------:|-------:|-------:|-------:|-------:|-------:|-------:|
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| 2019-01 | submissions | - | 6m25s | 21m32s | 2m47s | 33 | 16,445,391 | 2.0 GB |
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| 2019-02 | comments | - | 26m52s | 50m29s | 15m29s | 242 | 120,645,639 | 9.7 GB |
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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 |
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| 2019-11 | submissions | 5.5 GB | 9m48s | 26m01s | 5m27s | 43 | 21,243,315 | 2.2 GB |
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| 570 |
| 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:** 39h
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### Active Workers
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| Stage | Month | Type | Progress |
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|-------|-------|------|----------|
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| Downloading | 2019-05 |
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| Processing | 2019-
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| Uploading | 2019-03 |
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### Throughput
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| Metric | Value |
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|--------|------:|
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| Download |
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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 20:
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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 20:
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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 **7.2B items** (5.5B comments, 1.8B submissions) in **681.3 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 ████░░░░░░░░░░░░░░░░░░░░░░░░░░ 71.8M
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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 | 160 | 5.5B | 462.6 GB |
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| submissions | 188 | 1.8B | 218.7 GB |
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| **Total** | **160** | **7.2B** | **681.3 GB** |
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### Monthly breakdown
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<details>
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<summary>Click to expand full monthly table (160 comment months + 188 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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| 2019-01 | submissions | - | 6m25s | 21m32s | 2m47s | 33 | 16,445,391 | 2.0 GB |
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| 2019-02 | comments | - | 26m52s | 50m29s | 15m29s | 242 | 120,645,639 | 9.7 GB |
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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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| 2019-03 | submissions | - | 11m41s | 22m59s | - | 37 | 18,412,519 | 2.4 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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| 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:** 39h 55m / **Committed this session:** 17
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### Active Workers
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| Stage | Month | Type | Progress |
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|-------|-------|------|----------|
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| Downloading | 2019-05 | submissions | connecting... |
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| Processing | 2019-04 | comments | shard 14 · 7.0M rows · 143.8K rows/s |
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| Uploading | 2019-03 | submissions | 37 shards · 18.4M 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 | 27.2K rows/s avg |
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| Upload | 566.2s per commit avg |
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| ETA | 2026-04-24 20:18 UTC |
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### Progress
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`█████████████████████���░░░░░░░░` 347 / 490 (70.8%)
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| Metric | This Session |
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|--------|-------------:|
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| Months committed | 17 |
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| Rows processed | 1.2B |
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| Data committed | 99.0 GB |
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*Last update: 2026-04-10 20:34 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 20:34 UTC*
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data/submissions/2019/03/030.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:fb63fecbc2e2a6f9aeb760283a560ee8b96e87bbfcd6325ef5abc47192fc56ed
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size 74009552
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data/submissions/2019/03/031.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d00bcd8e660e48d474b83d8632ef8ae0eb14607ab47b03db4f60c63ec93b58b
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size 75871185
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data/submissions/2019/03/032.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:109ad1618490ec0ed4cfe46b9a89e8cb20d0f45579a54b29fb24272f7d1689ce
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size 77480437
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data/submissions/2019/03/033.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:aa03dc222b532aaac8a55945dc0a72e9ad187615ec1eee43ec2447fb39d641ce
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size 81432403
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data/submissions/2019/03/034.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:818ed781e0102b47f783b23413e491f97c9d499ab11507d74106ac2d6654c8b8
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size 89802190
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data/submissions/2019/03/035.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:fcdf13b3a46fe18f78e84c4f621dbc1717b58b2865c8f489cba59994012a7b47
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size 73409148
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data/submissions/2019/03/036.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:fc492cbb4ce771ef833ccfdaf359153d7d4acf7a95aa58acd0bf84d1e7bd5869
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size 50852164
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stats.csv
CHANGED
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@@ -317,7 +317,8 @@ year,month,type,shards,count,size_bytes,zst_bytes,dur_download_s,dur_process_s,d
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2019,1,submissions,33,16445391,2099705583,0,385.42,1292.33,166.92,2026-04-10T17:30:30Z
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2019,2,comments,242,120645639,10390860025,0,1611.66,3029.28,928.53,2026-04-10T18:21:00Z
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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,
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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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| 322 |
2023,12,submissions,79,39245797,4677392012,16276396198,1818.56,4592.72,1583.54,2026-03-20T04:43:25Z
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| 323 |
2024,1,submissions,83,41263034,5079875152,17243608474,11027.97,7572.13,1285.05,2026-03-20T02:34:59Z
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2019,1,submissions,33,16445391,2099705583,0,385.42,1292.33,166.92,2026-04-10T17:30:30Z
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2019,2,comments,242,120645639,10390860025,0,1611.66,3029.28,928.53,2026-04-10T18:21:00Z
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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,37,18412519,2551796060,0,701.37,1379.49,0.00,2026-04-10T20:31:11Z
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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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| 323 |
2023,12,submissions,79,39245797,4677392012,16276396198,1818.56,4592.72,1583.54,2026-03-20T04:43:25Z
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| 324 |
2024,1,submissions,83,41263034,5079875152,17243608474,11027.97,7572.13,1285.05,2026-03-20T02:34:59Z
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