google-deepmind/rc-data resource

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

1296 stars · 239 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A question answering corpus from DeepMind accompanying the paper 'Teaching Machines to Read and Comprehend' (Hermann et al., NIPS 2015). It includes a Python script to generate question/answer pairs from CNN and Daily Mail news articles downloaded via the Wayback Machine.

Use cases

• train reading comprehension models on CNN/Daily Mail QA pairs
• benchmark machine reading comprehension algorithms
• generate question answering datasets from news articles
• evaluate abstractive and extractive summarization baselines
• download processed CNN/Daily Mail QA data for NLP research

When to choose

• you need the original CNN/Daily Mail reading comprehension dataset from the NIPS 2015 paper
• you want to reproduce or cite Hermann et al.'s QA corpus in research
• you need a large-scale cloze-style question answering benchmark

When to avoid

• you need a modern, actively maintained QA dataset
• you cannot work with Python 2.7-era scripts and Wayback Machine downloads
• you want conversational or multi-hop QA rather than cloze-style entity questions

Facets

dataset · maturity maintenance

nlp machine-learning data-generation machine-learning deep-learning python cli question-answering reading-comprehension cnn-dailymail benchmark-dataset nips-2015 natural-language-processing linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="google-deepmind/rc-data")