---
license: odc-by
task_categories:
- question-answering
language:
- en
pretty_name: ASTRA-QA
size_categories:
- 1K<n<10K
configs:
- config_name: questions
  default: true
  data_files:
  - split: train
    path: questions.jsonl
- config_name: corpus
  data_files:
  - split: train
    path: corpus.jsonl
---

# ASTRA-QA: A Benchmark for Abstract Question Answering over Documents

ASTRA-QA, short for AbSTRAct Question Answering over documents, is a dataset and benchmark for document-level, synthesis-heavy question answering in retrieval-augmented generation systems.
It evaluates whether a system can read long documents, organize evidence, and produce grounded abstractive answers with reference-based assessment, rather than only retrieve short facts.

## Dataset Summary

- **869 questions** in total
- **5 task types**: `Single-Sum`, `Pair-Comp`, `Multi-Comp`, `Enum`, and `Temp`
- **2 source domains**: academic documents and news documents
- **3 retrieval scopes** used in the benchmark: `Simple`, `Middle`, and `Hard`

## Dataset Files

- `corpus.jsonl`: source documents used for retrieval and evidence grounding
- `questions.jsonl`: abstractive question-answer pairs with topic-set style answers and benchmark metadata

## Task Types

- **Single-Sum**: summarize a single document into a compact grounded answer
- **Pair-Comp**: compare two documents, methods, entities, or events
- **Multi-Comp**: synthesize comparisons across multiple targets
- **Enum**: enumerate key items, themes, findings, or contributions
- **Temp**: reconstruct temporally evolving events over a time window

## Data Sources

ASTRA-QA is constructed from publicly available sources, including arXiv, OpenReview, and news articles collected through `mediastack.com`.

## License

This dataset is released under the Open Data Commons Attribution License (`ODC-By`).

The `ODC-By` license applies to the dataset annotations, organization, metadata, and benchmark construction.
Original source documents remain subject to their respective licenses and terms of use.
Users are responsible for complying with the original licenses and source-specific usage terms when using the source content.

## Citation

Citation information will be added when the paper is released.