datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
DeepResearch-Bench-II-DatasetDeepResearch-Bench-Dataset
DeepResearch Bench Dataset
[English | 中文]
English
📖 Dataset Overview
This is the official dataset accompanying the DeepResearch Bench paper. It contains research reports generated by 4 leading deep research AI systems along with detailed human expert annotations evaluating these reports.
DeepResearch Bench is the first comprehensive benchmark for systematically evaluating Deep Research Agents (DRAs) on their ability to handle complex, PhD-level research… See the full description on the dataset page: https://huggingface.co/datasets/muset-ai/DeepResearch-Bench-Dataset.openresearcher-sft-deep-research-cleaned
OpenResearcher SFT DeepResearch — Parquet Mirror
This is a re-hosted copy of the tool-reasoning SFT deep-research dataset by Aman Priyanshu, itself a cleaned/restructured version of the OpenResearcher Dataset from TIGER-AI-Lab.
Why this repo exists: the source wasn't laid out as ready-to-download Parquet files. This mirror simply stores the data as plain seed_*.parquet files so you can grab the whole dataset or a single segment easily. No changes were made to the content — all… See the full description on the dataset page: https://huggingface.co/datasets/DanielTobi0/openresearcher-sft-deep-research-cleaned.DeepResearch-traj
DeepResearch-traj
Multi-seed deep research agent trajectories with per-question correctness labels and pass@k statistics, derived from OpenResearcher/OpenResearcher-Dataset.
Dataset Summary
This dataset contains 97,630 full agent trajectories across 6,102 unique research questions, each sampled under 16 different random seeds (42–57). Every trajectory is annotated with:
seed — which random seed produced this trajectory
correct — whether the model's final answer was… See the full description on the dataset page: https://huggingface.co/datasets/IPF/DeepResearch-traj.tool-reasoning-sft-RESEARCH-openresearcher-dataset-sft-deep-research-agent-data-cleaned
OpenResearcher Dataset - Cleaned & Restructured
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Aman Priyanshu
Overview
This dataset is a cleaned and restructured version of the OpenResearcher Dataset released by the TIGER-AI-Lab. The original dataset contains 96K+ long-horizon deep research trajectories generated by GPT-OSS-120B with native browser tools. This version converts the GPT-OSS channel-based message format into a standardized multi-turn tool-use conversation… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-RESEARCH-openresearcher-dataset-sft-deep-research-agent-data-cleaned.arxiv_deep_learning_python_research_code
ArXiv Deep Learning Python Research Code
A curated corpus of Python source code files extracted from GitHub repositories referenced in ArXiv papers. Contains 391,496 files (1.49 GB) filtered to deep learning frameworks, designed for training and evaluating Code LLMs on research-grade code.
Dataset Summary
Statistic
Value
Total files
391,496
Total size
1.49 GB
Source repos
34,099
Time span
ArXiv inception through July 2023
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/AlgorithmicResearchGroup/arxiv_deep_learning_python_research_code.deepresearchgym-agentic-search-logs
DeepResearchGym Agentic Search Logs
This repository hosts the dataset accompanying the paper “Agentic Search in the Wild” (arXiv: https://arxiv.org/abs/2601.17617).
The dataset contains 14M+ search queries collected via DeepResearchGym (DRGym), an open-source search API designed for DeepResearch-style agentic search. For more background on DRGym, see: https://arxiv.org/abs/2505.19253.
All records have been anonymized and shuffled to prevent re-identification, and we additionally… See the full description on the dataset page: https://huggingface.co/datasets/cx-cmu/deepresearchgym-agentic-search-logs.SGI-DeepResearch
Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows
Welcome to the official repository for the SGI-Bench! 👏
Scientist-aligned benchmark for evaluating Scientific General Intelligence (SGI) across the full inquiry cycle: Deliberation, Conception, Action, and Perception. The benchmark spans 10 disciplines and more than 1,000 expert‑curated samples inspired by Science’s 125 Big Questions, with an agentic evaluation framework… See the full description on the dataset page: https://huggingface.co/datasets/InternScience/SGI-DeepResearch.Open-DeepResearch
Open-DeepResearch
Project Page | Paper | Code
This directory contains the RL Training Set and the Test Set for the Open-DeepResearch domain.
Overview
In the Open-DeepResearch domain, the agent is required to assist users in conducting multi-turn search, reading, synthesis, and generation to produce an open-ended answer. This domain focuses on complex information retrieval and synthesis tasks.
Dataset
Statistics
Split
Samples
Description
RL… See the full description on the dataset page: https://huggingface.co/datasets/Alibaba-NLP/Open-DeepResearch.DeepResearch-Bench-Multilingual
DeepResearch Bench Multilingual Prompts
This dataset provides prompt-level multilingual translations for the 100 research tasks used in muset-ai/DeepResearch-Bench-Dataset.
The translations cover eight languages:
en
zh
es
it
ar
bn
ja
el
What is included
This repository focuses on the benchmark prompts only.
On the Hugging Face Hub, the Dataset Viewer is configured with one default subset named all plus nine explicit subset configurations: source_prompt, en, zh, es… See the full description on the dataset page: https://huggingface.co/datasets/JRQi/DeepResearch-Bench-Multilingual.deepresearch-benchmark-2
DeepResearch Benchmark 2.0
DeepResearch Benchmark 2.0 is a collection of 100 English deep-research benchmark cases.
Each case asks a model to analyze 6-10 entities across 6-10 research dimensions, and includes:
the public user-facing question,
a reference answer with derivations and source URLs,
a detailed scoring rubric,
metadata for the generation/auditing pipeline when available.
This Hugging Face package is the clean OpenReview dataset release. It excludes local MCP configs… See the full description on the dataset page: https://huggingface.co/datasets/xiesixiong/deepresearch-benchmark-2.tool-reasoning-sft-RESEARCH-dr-tulu-sft-deep-research-agent-data-cleaned-rectified
Deep Research - Tulu SFT Data Cleaned Rectified
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Supriti Vijay
Overview
This dataset is a cleaned and restructured version of the DR-TULU SFT dataset released by AllenAI's RL Research team. The original DR-TULU dataset represents significant work in creating high-quality training data for reasoning-enhanced language models with tool use capabilities. This version addresses structural issues in the original release while preserving… See the full description on the dataset page: https://huggingface.co/datasets/SupritiVijay/tool-reasoning-sft-RESEARCH-dr-tulu-sft-deep-research-agent-data-cleaned-rectified.deepresearch-benchmark-2
DeepResearch Benchmark 2.0
DeepResearch Benchmark 2.0 is a collection of 100 English deep-research benchmark cases.
Each case asks a model to analyze 6-10 entities across 6-10 research dimensions, and includes:
the public user-facing question,
a reference answer with derivations and source URLs,
a detailed scoring rubric,
metadata for the generation/auditing pipeline when available.
This Hugging Face package is the clean OpenReview dataset release. It excludes local MCP configs… See the full description on the dataset page: https://huggingface.co/datasets/xsx001/deepresearch-benchmark-2.SGI-DeepResearch-Gold
Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows
Welcome to the official repository for the SGI-Bench! 👏
Scientist-aligned benchmark for evaluating Scientific General Intelligence (SGI) across the full inquiry cycle: Deliberation, Conception, Action, and Perception. The benchmark spans 10 disciplines and more than 1,000 expert‑curated samples inspired by Science’s 125 Big Questions, with an agentic evaluation framework… See the full description on the dataset page: https://huggingface.co/datasets/InternScience/SGI-DeepResearch-Gold.deepresearchgym-agentic-search-logs
DeepResearchGym Agentic Search Logs
This repository hosts the dataset accompanying the paper “Agentic Search in the Wild” (arXiv: https://arxiv.org/abs/2601.17617).
The dataset contains 14M+ search queries collected via DeepResearchGym (DRGym), an open-source search API designed for DeepResearch-style agentic search. For more background on DRGym, see: https://arxiv.org/abs/2505.19253.
All records have been anonymized and shuffled to prevent re-identification, and we additionally… See the full description on the dataset page: https://huggingface.co/datasets/ethanning/deepresearchgym-agentic-search-logs.deepresearch-9k-tool-calling-strict
DeepResearch-9K — Tool Calling Format (Strict)
Strict converted version of artillerywu/DeepResearch-9K.
Key difference from the standard version:
When an assistant message contains tool_calls, the content field is null.
<think> reasoning blocks are dropped from tool-calling turns.
Dataset Summary
Property
Value
Source
artillerywu/DeepResearch-9K
Samples
3,974
Tool
search
Format
OpenAI-compatible messages + tools_json
Difficulty… See the full description on the dataset page: https://huggingface.co/datasets/tuandunghcmut/deepresearch-9k-tool-calling-strict.