Sign inGet started
Dataset · Hugging Face

Bhawna/ChroniclingAmericaQA

ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper Pages ChroniclingAmetricaQA, is a large-scale question-answering dataset comprising question-answer pairs over a collection of historical American newspapers. It aims to facilitate the development of QA and MRC systems over historical texts. Dataset Structured as JSON files, the ChricinclingAmericaQA dataset includes train.json, dev.json, and test.json for… See the full description on the dataset page: https://huggingface.co/datasets/Bhawna/ChroniclingAmericaQA.

Author / organizationBhawna
License (as declared)mit
Downloads886 (as reported by Hugging Face)
Likes0
Created10 February 2024
Last updated at source28 November 2024
Embed this entry
<iframe src="https://silytics.si/embed/item/f5060872-8a19-4d5f-b7fc-33d422c7ade3" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

886 now (+152 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 16 Oct 2026 Description: ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper Pages ChroniclingAmetricaQA, is a large-scale question-answering dataset comprising question-answer pairs over a collection of historical → ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper Pages ChroniclingAmetricaQA, is a large-scale question-answering dataset comprising question-answer pairs over a collection of historical

Changes detected by Silytics between refreshes of the source.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.