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Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

active 2023-09-042026-05-17 (UTC)

Complete coverage26,432 / 26,432 hourly files (100%) · 2 absent upstream2023-08-152026-08-20 (UTC)
Events
111
Pushes
0
Pull requests
0
Issues
5
Stars
94
Forks
11

Activity over time

Daily event counts in the loaded window

Line chart, 987 days from 2023-09-04 to 2026-05-17. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 5 total, peak 1 in a day. Comments: 1 total, peak 1 in a day. Stars: 94 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
deepaca1001
domiyoo1000
Fan541-ops1000
WatsonWangZh1000
RoosBakker1000
wwwwhhhbbb1000

Recent activity

Latest issues, pull requests and releases

  • Issue#86Fan541-ops2026-03-18 08:14
    Migrating DocRED Leaderboard from CodeLab to CodaBench
  • Issue#81wwwwhhhbbb2025-06-08 08:07
    I don't have permission to download the dataset
  • Issue#80domiyoo2024-06-14 03:21
    Test error
  • Issue comment#41deepaca2024-01-21 01:11
    python3 evaluation.py result.json ../data/dev.json
  • Issue#79RoosBakker2023-10-25 09:32
    Lack of documentation and quality code
  • Issue#78WatsonWangZh2023-10-02 09:26
    构建数据集所使用的wikidata 和 wikipedia数据源能否提供,当前2018-5-24 dump of English Wikipedia and 2018-3-20 dump ofWikidata 已没有下载链接

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 94 stars here means stars gained during the window, not the repo's star count.