SC2QA Question Answering Data from Common Crawl

A collection of question-answer pairs derived from the Common Crawl web corpus, associated with the SC2QA project. The dataset is tagged for text modality and originates from the US region. Specific details on row count, column structure, and sample data are unavailable.

Use Cases

• Train a text-based question answering model using the derived question-answer pairs.
• Analyze linguistic patterns and information extraction from the Common Crawl web corpus.
• Benchmark natural language understanding models on web-scale QA data.

Strengths

• Derived from the large-scale Common Crawl web corpus.
• Tagged with specific modalities (text, tabular) and a geographic region (US).
• Associated with an ArXiv paper (arXiv:2109.04689), indicating a research foundation.

Limitations

• No information on dataset size, row count, or column structure is provided.
• The sample data is unavailable, preventing assessment of data format and quality.
• The last update was in March 2022, potentially making the data stale for current applications.

Provenance

Source

Common Crawl web corpus.

Collection Method

Derived and processed by the sc2qa author.

Freshness

Last updated on 2022-03-30.

Geography

United States (based on 'Regionus' tag).