datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
qasperA dataset containing 1585 papers with 5049 information-seeking questions asked by regular readers of NLP papers, and answered by a separate set of NLP practitioners.qasper-rag
QASPER RAG
Dataset for Retrieval-Augmented Generation (RAG) based on QASPER.
Structure
Subset
Splits
Description
corpus
train (default)
Paper chunks (abstract + full-text paragraphs) shared across all query splits
queries
train, dev, test
Information-seeking questions over scientific papers
qrels
train, dev, test
Relevance judgments (query ↔ paragraph chunk)
answers
train, dev, test
Reference answers (longest valid free-form answer)
top_ranked… See the full description on the dataset page: https://huggingface.co/datasets/DinoStackAI/qasper-rag.qasper-squad
Quasper into squad version
This is a change of format of qasper dataset into squad format.
SARA-QASPER
SARA QASPER (reformatted)
Reformatted QASPER data used by
SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression (ACL 2026,
arXiv:2507.05633). Code: Ahren09/SARA.
The SARA Quick Start (python -m src.data.make_qasper_splits) downloads this dataset automatically;
you can also load it directly:
from datasets import load_dataset
qa = load_dataset("Ahren09/SARA-QASPER", "qa") # train / test
align =… See the full description on the dataset page: https://huggingface.co/datasets/Ahren09/SARA-QASPER.envoy-qasper-code-trajectories
Envoy QASPER Code-Execution Trajectory Pilot
This is a small, fully disclosed pilot of executable research-agent trajectories.
Claude Sonnet 5 generated Python actions against a persistent document REPL. The
Envoy pipeline executed every action and retained the real observations. An AI
coding assistant then reviewed answer support, stopping behavior, and replay.
This release is useful for studying trajectory validation and citation failures.
It is not a production-ready SFT… See the full description on the dataset page: https://huggingface.co/datasets/jasonlingg/envoy-qasper-code-trajectories.qasperA dataset containing 1585 papers with 5049 information-seeking questions asked by regular readers of NLP papers, and answered by a separate set of NLP practitioners.qasperA dataset containing 1585 papers with 5049 information-seeking questions asked by regular readers of NLP papers, and answered by a separate set of NLP practitioners.qasper-rag
QASPER RAG
Dataset for Retrieval-Augmented Generation (RAG) based on QASPER.
Structure
Subset
Splits
Description
corpus
train (default)
Paper chunks (abstract + full-text paragraphs) shared across all query splits
queries
train, dev, test
Information-seeking questions over scientific papers
qrels
train, dev, test
Relevance judgments (query ↔ paragraph chunk)
answers
train, dev, test
Reference answers (longest valid free-form answer)
top_ranked… See the full description on the dataset page: https://huggingface.co/datasets/Azureprime/qasper-rag.qasperA dataset containing 1585 papers with 5049 information-seeking questions asked by regular readers of NLP papers, and answered by a separate set of NLP practitioners.qasper-chat-format
QASPER (Chat-Format Preparation)
This dataset is a chat-format preparation of QASPER for supervised fine-tuning (SFT).
Format
This format is commonly referred to as:
chat-format SFT data
instruction-tuning conversations
OpenAI-style messages format
Included files
train.jsonl
validation.jsonl
stats.json
prepare_qasper_unsloth.py
Source
Base dataset: allenai/qasper
Original Dataset Highlights
Original dataset: allenai/qasper
Focus:… See the full description on the dataset page: https://huggingface.co/datasets/ali5341/qasper-chat-format.qasperA dataset containing 1585 papers with 5049 information-seeking questions asked by regular readers of NLP papers, and answered by a separate set of NLP practitioners.qasperA dataset containing 1585 papers with 5049 information-seeking questions asked by regular readers of NLP papers, and answered by a separate set of NLP practitioners.qasperA dataset containing 1585 papers with 5049 information-seeking questions asked by regular readers of NLP papers, and answered by a separate set of NLP practitioners.qasperA dataset containing 1585 papers with 5049 information-seeking questions asked by regular readers of NLP papers, and answered by a separate set of NLP practitioners.qasperA dataset containing 1585 papers with 5049 information-seeking questions asked by regular readers of NLP papers, and answered by a separate set of NLP practitioners.qasperA dataset containing 1585 papers with 5049 information-seeking questions asked by regular readers of NLP papers, and answered by a separate set of NLP practitioners.qasperA dataset containing 1585 papers with 5049 information-seeking questions asked by regular readers of NLP papers, and answered by a separate set of NLP practitioners.qasperA dataset containing 1585 papers with 5049 information-seeking questions asked by regular readers of NLP papers, and answered by a separate set of NLP practitioners.