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README.md

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+---
+configs:
+- config_name: memwrap
+  data_files:
+  - split: test
+    path: memwrap/qasper.jsonl
+- config_name: plain
+  data_files:
+  - split: test
+    path: plain/qasper.jsonl
+---
+
+# QASPER Benchmark
+
+Question Answering on Scientific Papers - NLP research paper comprehension benchmark.
+
+## Overview
+
+| Metric | Value |
+|--------|-------|
+| Papers | 416 (test set) |
+| Questions | 1,370 (answerable) |
+| Answer Types | Free-form, extractive, yes/no |
+| Context | Full paper (title, abstract, sections) |
+
+## Source
+
+Based on [QASPER](https://allenai.org/data/qasper) dataset by AllenAI.
+
+Paper: [A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers](https://aclanthology.org/2021.naacl-main.365/)
+
+## Variants
+
+- **memwrap**: Paper content wrapped with `<|memory_start|>` / `<|memory_end|>` tags
+- **plain**: Raw paper content without memory tags
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load memwrap variant
+ds = load_dataset("tonychenxyz/qasper", "memwrap", split="test")
+
+# Load plain variant
+ds = load_dataset("tonychenxyz/qasper", "plain", split="test")
+```
+
+## Scoring
+
+Uses `qasper_log_perplexity` scoring function:
+- Evaluates model performance using log perplexity of generated answer tokens
+- Lower log perplexity indicates better performance
+- Matches the perplexity-based evaluation used in cardridge baselines
+
+Target answers are stored in `extra_info.ground_truth.answer`.
+
+## Citation
+
+```bibtex
+@inproceedings{dasigi2021qasper,
+  title={A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers},
+  author={Dasigi, Pradeep and Lo, Kyle and Beltagy, Iz and Cohan, Arman and Smith, Noah A and Gardner, Matt},
+  booktitle={NAACL},
+  year={2021}
+}
+```