Datasets:
pretty_name: AVeriTeC knowledge store, extraction repaired (dev)
language:
- en
license: other
license_name: averitec-derived
license_link: https://fever.ai/dataset/averitec.html
task_categories:
- text-retrieval
tags:
- fact-checking
- evidence-retrieval
- averitec
- fever
size_categories:
- 100K<n<1M
extra_gated_prompt: >-
This corpus contains text extracted from third-party web pages, including news
articles. It is released for research on evidence retrieval for fact-checking.
By requesting access you agree to use it for research purposes, to respect the
rights of the original publishers, and not to redistribute the extracted text.
extra_gated_fields:
Name: text
Affiliation: text
Intended use: text
AVeriTeC knowledge store, with extraction repaired (dev split)
The AVeriTeC dev knowledge store with its empty documents re-scraped.
In the original store, 21.5% of documents have an empty url2text: the
scraper ran, got nothing back, and the empty result was indexed anyway.
Roughly a third of gold evidence documents were among them, so retrieval
results on that store are bounded by a ceiling unrelated to the method.
| documents | |
|---|---|
| total | 506,640 |
| empty before | 109,151 (21.5%) |
| empty after | 39,378 (7.8%) |
| recovered | 69,773 (63.9%) |
Using it
A drop-in replacement for the original split directory — same file names, same JSON Lines format, same records in the same order.
dev/<claim_id>.json one record per document: claim_id, query, type,
url, url2text (a list of sentences)
MANIFEST.json per-claim document and empty counts
import json
records = [json.loads(line) for line in open("dev/2.json")]
Documents that already had text are byte-identical to the original, so a comparison against the original store differs only by recovered text.
Limitations
Recovery tops out near 64%: 39,378 documents are still empty, mostly publishers that block scrapers. Some recoveries are page fragments rather than articles. Repairing text does not by itself make evidence retrievable.
Provenance
URLs, document lists and structure come from the AVeriTeC shared task, whose terms govern that material. The recovered text was fetched from publishers' own pages and ordinary copyright applies to it, exactly as for the original store. Access is gated for that reason. Please cite AVeriTeC.