datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
InteractiveRadiologyTutor_datssetsSWE-Bench-Pro-interactive-issue-qa
SWE-Bench Pro / Interactive / Issue+QA
Companion data release for the anonymous paper "Opinion: Coding-Agent Benchmarks Should Match Their Users' Task Flows" (SWE-TaskFlow). This dataset contains the QA-augmented trajectories: verifiable questions about repository behavior inserted before, between, or after the split issue turns. Every question ships with its hidden reference answer, an executable golden proof script, and the creation-time proof-execution report.
The plain… See the full description on the dataset page: https://huggingface.co/datasets/Anonym01048/SWE-Bench-Pro-interactive-issue-qa.SWE-Bench-Pro-interactive-issue
SWE-Bench Pro / Interactive / Issue
Companion data release for the anonymous paper "Opinion: Coding-Agent Benchmarks Should Match Their Users' Task Flows" (SWE-TaskFlow). SWE-TaskFlow transforms an issue-derived benchmark into replayable multi-turn trajectories while preserving the original tasks and tests. This dataset contains the issue-solving prompt sequences (no QA turns) over the 701 SWE-Bench Pro tasks that admit a three-part decomposition (out of the 731 public tasks).… See the full description on the dataset page: https://huggingface.co/datasets/Anonym01048/SWE-Bench-Pro-interactive-issue.interactive-sweDataset Summary
Interactive SWE-bench is a dataset developed by CMU Language Technologies Institute (LTI) that contains 500 verified samples from the SWE-bench test set. This dataset is an enhanced version of the original SWE-bench dataset, featuring both the original detailed GitHub issues and their simplified, focused versions.
The dataset collects 500 test Issue-Pull Request pairs from popular Python repositories. Each entry includes both the original detailed issue description and a… See the full description on the dataset page: https://huggingface.co/datasets/cmu-lti/interactive-swe.qualcomm-interactive-cooking-dataset
Qualcomm Interactive Cooking Dataset
Description
The Qualcomm Interactive Cooking Dataset is designed to evaluate the ability of multi-modal LLMs to provide step-by-step instructions, focusing on the cooking domain.
Dataset Details
The Qualcomm Interactive Cooking Dataset includes step-by-step instructions and feedback pairs. The videos are from the CaptainCook4D dataset - licensed under Apache 2.0.
Dataset Collection Process
The text annotations and… See the full description on the dataset page: https://huggingface.co/datasets/qualcomm/qualcomm-interactive-cooking-dataset.paper_universe_interactive
Paper Universe Interactive Graph
Small static-viewer payload for the Research Library paper universe.
This dataset is intentionally separate from PeytonT/paper_graph. It contains browser-friendly interactive assets needed by the static WebGL/WASM app. Parquet is the preferred payload format; JSON is retained as a compatibility fallback:
parquet/interactive/papers_50000.parquet
parquet/interactive/papers_200000.parquet
parquet/interactive/papers_all.parquet… See the full description on the dataset page: https://huggingface.co/datasets/PeytonT/paper_universe_interactive.repo_universe_interactive
Repo Universe Interactive Graph
Small static-viewer payload for the Research Library repository universe.
This dataset is intentionally separate from the full repo graph export. It contains browser-friendly graph assets for the static WebGL/WASM app. Parquet is the preferred payload format; JSON/JSONL is retained as a compatibility fallback:
parquet/interactive/lod_10000.parquet
parquet/interactive/lod_50000.parquet
parquet/interactive/lod_200000.parquet… See the full description on the dataset page: https://huggingface.co/datasets/PeytonT/repo_universe_interactive.strl-main-ec-playwright_interactive-gc-claude_client_strl_summary-mc-claude_agent_sonnet-r0strl-main-ec-playwright_interactive-gc-claude_client_strl_dplm-mc-claude_agent_sonnet-rb-r0collabllm-20q-interactiveInteractive_Web_ToolsNekoQA-Interactive
NekoQA-Interactive
Dataset Description
The NekoQA Interactive Dataset is designed to provide a rich and engaging conversational experience between users and their virtual feline companions. This dataset features well-structured JSON samples that include diverse instructions and outputs, showcasing a variety of emotional expressions and interactive scenarios. The purpose of this dataset is to enhance the emotional connection and entertainment value during interactions… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/NekoQA-Interactive.carte-interactive-de-nyons-hotels-restaurants-et-lieux-a-visiter
Carte interactive de Nyons – Hôtels, restaurants et lieux à visiter
Source
Source officielle : https://www.data.gouv.fr/datasets/carte-interactive-de-nyons-hotels-restaurants-et-lieux-a-visiter
Identifiant du jeu de données data.gouv.fr : 6830b79c31e71af779d43442
Slug data.gouv.fr : carte-interactive-de-nyons-hotels-restaurants-et-lieux-a-visiter
Licence indiquée dans les métadonnées data.gouv.fr : lov2
Structure Hugging Face
Un jeu de données… See the full description on the dataset page: https://huggingface.co/datasets/Data-Gouv-ML/carte-interactive-de-nyons-hotels-restaurants-et-lieux-a-visiter.