Upload 1M deduped paper text dataset

README.md

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+---
+pretty_name: Deduped Paper Text Dataset
+viewer: true
+tags:
+- datasets
+- arxiv
+- scientific-papers
+- text
+size_categories:
+- 1M<n<10M
+---
+
+# Deduped Paper Text Dataset
+
+This dataset merges an existing paper-text parquet export with one or more
+backfill parquet shards, then keeps exactly one row per `canonical_paper_id`.
+
+One row corresponds to one canonical arXiv paper. Where multiple versions are
+available, the merge keeps the strongest text row according to the repo's
+selection logic: prefer non-partial text, then prefer raw-PDF-derived text,
+then newer versions, then longer text.
+
+## Important provenance note
+
+This is a merged release, not a fresh one-pass export. It combines an earlier
+deduped paper-text dataset with later backfill shards, then dedupes again on
+`canonical_paper_id`.
+
+Use per-paper `license` filtering before broad downstream publication. Many
+arXiv records still carry `nonexclusive-distrib` rather than a general reuse
+license.
+
+This release is capped deterministically at exactly `1000000` deduped papers. The selected inputs contained `1000004` deduped papers before applying the cap.
+
+## Rows
+
+- `train`: `1000000` papers
+- unique canonical papers: `1000000`
+- base input rows considered: `124036`
+- backfill input rows considered: `875968`
+- deduped rows before target cap: `1000004`
+
+
+## Main columns
+
+- `paper_id`
+- `canonical_paper_id`
+- `paper_version`
+- `pdf_path`
+- `title`
+- `abstract`
+- `authors`
+- `categories`
+- `license`
+- `text`
+- `text_char_count`
+- `token_count`
+- `page_count`
+- `token_types`
+
+## Files
+
+- `train_00000.parquet`
+- `train_00001.parquet`
+- `train_00002.parquet`
+- `train_00003.parquet`
+- `train_00004.parquet`
+- `train_00005.parquet`
+- `train_00006.parquet`
+- `train_00007.parquet`
+- `train_00008.parquet`
+- `train_00009.parquet`

stats.json

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+{
+  "base_parquets": [
+    "/arxiv/huggingface/paper_text_124k_dedup_v1/train_00000.parquet",
+    "/arxiv/huggingface/paper_text_124k_dedup_v1/train_00001.parquet"
+  ],
+  "backfill_parquets": [
+    "/arxiv/pdfs_structured_gcs_growth_v1/paper_text_backfill_00000.parquet",
+    "/arxiv/pdfs_structured_gcs_growth_v1/paper_text_backfill_00001.parquet",
+    "/arxiv/pdfs_structured_gcs_growth_v1/paper_text_backfill_00002.parquet",
+    "/arxiv/pdfs_structured_gcs_growth_v1/paper_text_backfill_00003.parquet",
+    "/arxiv/pdfs_structured_gcs_growth_v1/paper_text_backfill_00004.parquet",
+    "/arxiv/pdfs_structured_gcs_growth_v1/paper_text_backfill_00005.parquet",
+    "/arxiv/pdfs_structured_gcs_growth_v1/paper_text_backfill_00006.parquet",
+    "/arxiv/pdfs_structured_gcs_growth_v1/paper_text_backfill_00007.parquet",
+    "/arxiv/pdfs_structured_gcs_growth_v1/paper_text_backfill_00008.parquet",
+    "/arxiv/pdfs_structured_gcs_growth_v1/paper_text_backfill_00009.parquet",
+    "/arxiv/pdfs_structured_gcs_growth_v1/paper_text_backfill_00010.parquet",
+    "/arxiv/pdfs_structured_gcs_growth_v1/paper_text_backfill_00011.parquet"
+  ],
+  "metadata_path": "/data/arxiv/arxiv-metadata-oai-snapshot.json",
+  "output_dir": "/arxiv/huggingface/paper_text_1m_dedup_v1",
+  "base_rows": 124036,
+  "backfill_rows": 875968,
+  "merged_rows": 1000000,
+  "merged_unique_canonical_ids": 1000000,
+  "target_rows": 1000000,
+  "merged_rows_before_target_cap": 1000004,
+  "merged_unique_canonical_ids_before_target_cap": 1000004,
+  "metadata_subset_rows": 1000000,
+  "rows_per_output_file": 100000,
+  "memory_limit": "16GB",
+  "output_files": [
+    "/arxiv/huggingface/paper_text_1m_dedup_v1/train_00000.parquet",
+    "/arxiv/huggingface/paper_text_1m_dedup_v1/train_00001.parquet",
+    "/arxiv/huggingface/paper_text_1m_dedup_v1/train_00002.parquet",
+    "/arxiv/huggingface/paper_text_1m_dedup_v1/train_00003.parquet",
+    "/arxiv/huggingface/paper_text_1m_dedup_v1/train_00004.parquet",
+    "/arxiv/huggingface/paper_text_1m_dedup_v1/train_00005.parquet",
+    "/arxiv/huggingface/paper_text_1m_dedup_v1/train_00006.parquet",
+    "/arxiv/huggingface/paper_text_1m_dedup_v1/train_00007.parquet",
+    "/arxiv/huggingface/paper_text_1m_dedup_v1/train_00008.parquet",
+    "/arxiv/huggingface/paper_text_1m_dedup_v1/train_00009.parquet"
+  ],
+  "readme_path": "/arxiv/huggingface/paper_text_1m_dedup_v1/README.md"
+}

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