2m_papers_text / README.md
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metadata
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 2000000 deduped papers. The selected inputs contained 2364986 deduped papers before applying the cap.

Rows

  • train: 2000000 papers
  • unique canonical papers: 2000000
  • base input rows considered: 1000000
  • backfill input rows considered: 1364986
  • deduped rows before target cap: 2364986

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
  • train_00010.parquet
  • train_00011.parquet
  • train_00012.parquet
  • train_00013.parquet
  • train_00014.parquet
  • train_00015.parquet
  • train_00016.parquet
  • train_00017.parquet
  • train_00018.parquet
  • train_00019.parquet