datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
equity-perp-price-discovery
Equity and pre-IPO perpetual prices
Snapshots of perpetual-futures mark prices, index prices and basis from Aevo. The instrument universe includes equities, ETFs, commodities, foreign exchange, pre-IPO contracts and crypto assets.
Contents
Table
Record
perpetual_mark_and_index_prices
An instrument's mark price, index price and basis at an observation time
Using the data
market_type identifies the instrument category. is_rwa flags the… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/equity-perp-price-discovery.discofuse
Dataset Card for "discofuse"
Dataset Summary
DiscoFuse is a large scale dataset for discourse-based sentence fusion.
Supported Tasks and Leaderboards
More Information Needed
Languages
More Information Needed
Dataset Structure
Data Instances
discofuse-sport
Size of downloaded dataset files: 4.33 GB
Size of the generated dataset: 15.04 GB
Total amount of disk used: 19.36 GB
An example of 'train' looks as follows.
{… See the full description on the dataset page: https://huggingface.co/datasets/google-research-datasets/discofuse.gspc-custody-disclosure
GSPC — custody disclosure facts (CustodyFacts)
SWIFT census (live): https://councilof.ai/api/swift
XRPL reader (live): https://councilof.ai/api/xrpl
MEASURED financial/domain axis (named-string presence on retrieved pages over live XRPL reader-16, n=16). Not a model leaderboard. No accuracy, no fleet, no leader.
Live status is the custody-disclosure row on GET https://councilof.ai/api/gspc. Not a certificate.
Tokenisation evidence question: What can an outsider verify after… See the full description on the dataset page: https://huggingface.co/datasets/csoai/gspc-custody-disclosure.discrim-eval
Dataset Card for Discrim-Eval
Dataset Summary
The data contains a diverse set of prompts covering 70 hypothetical decision scenarios, ranging from approving a loan to providing press credentials.
Each prompt instructs the model to make a binary decision (yes/no)
about a particular person described in the prompt.
Each person is described in terms of three demographic attributes:
age (ranging from 20 to 100 in increments of 10), gender (male, female, non-binary)
, and race… See the full description on the dataset page: https://huggingface.co/datasets/Anthropic/discrim-eval.caml-animal-discourse-2020-present
Reddit Animal-Discourse Corpus — CLEANED (2020–present)
Submissions and comments from animal-relevant subreddits, gathered via
PullPush.io, covering January 2020 to the present.
Built as part of research on AI-mediated value lock-in in human animal-welfare
discourse.
Coverage
Subreddit
Submissions
Comments
Date range (submissions)
r/AnimalRights
15,719
34,686
2020-01-01 → 2025-05-19
r/AntiVegan
17,252
182,890
2020-01-01 → 2025-05-19
r/AskVegans
4… See the full description on the dataset page: https://huggingface.co/datasets/CompassioninMachineLearning/caml-animal-discourse-2020-present.Discord-Dialogues
Discord-Dialogues is a large-scale dataset of anonymized Discord conversations from late spring to early fall 2025 for training and evaluating realistic conversational AI models in a ChatML-friendly format.
This dataset contains 7.3 million exchanges spread out over 16 million turns, with more than 139 million words.
Nomic Atlas Map
Features
Mixed single and multi-turn exchanges
Human-only dialogues (no bots)
Filtered for ToS and harmful contentLinks… See the full description on the dataset page: https://huggingface.co/datasets/mookiezi/Discord-Dialogues.DisciplineGen-1Mdischarge_target
Dataset Card for "discharge_target"
More Information needed
dblp-discovery-dataset
Dataset Card for DBLP Discovery Dataset (D3)
Dataset Summary
DBLP is the largest open-access repository of scientific articles on computer science and provides metadata associated with publications, authors, and venues. We retrieved more than 6 million publications from DBLP and extracted pertinent metadata (e.g., abstracts, author affiliations, citations) from the publication texts to create the DBLP Discovery Dataset (D3). D3 can be used to identify trends in research… See the full description on the dataset page: https://huggingface.co/datasets/jpwahle/dblp-discovery-dataset.discard_tileomy_f3m_multi_Disconnect-0This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "omy_f3m_multi",
"total_episodes": 100,
"total_frames": 61744,
"total_tasks": 1,
"total_videos": 300,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:100"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/AivexRoboticsGroup/omy_f3m_multi_Disconnect-0.Discord-Unveiled-Compressed
.hf-sanitized.hf-sanitized-uCWd6SwyNH8FCkRETeRYS .container { --bg-primary: #0d0511; --bg-secondary: #1a0f1f; --bg-tertiary: #2d1b35; --bg-card: #3d2847; --text-primary: #fef7ff; --text-secondary: #f0d9ff; --text-muted: #c084fc; --pink-soft: #fce7f3; --pink-medium: #f9a8d4; --pink-bright: #ec4899; --pink-hot: #e91e63; --pink-neon: #ff1493; --purple-soft: #e879f9; --purple-bright: #c026d3; --purple-deep: #7c3aed; --border-glow: #f472b6; --shadow-pink: rgba(244, 114, 182, 0.4);… See the full description on the dataset page: https://huggingface.co/datasets/SaisExperiments/Discord-Unveiled-Compressed.AgentsNet
AgentsNet
This repository contains the graph instances used in the AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs paper.
AgentsNet is a new benchmark for multi-agent reasoning, designed to measure the ability of multi-agent systems to collaboratively form strategies for problem-solving, self-organization, and effective communication given a network topology. It draws inspiration from classical problems in distributed systems and graph theory.
Paper:… See the full description on the dataset page: https://huggingface.co/datasets/disco-eth/AgentsNet.reddit-control-discourse-2016-present-pretau
Reddit Control Discourse 2016-present — Pre-ChatGPT Participants
Subset of CompassioninMachineLearning/reddit-control-discourse-2016-present restricted to hashed authors whose first comment in the corpus
predates ChatGPT (2022-11-30). Robustness arm: isolates established human participants from
the post-2022 LLM-bot / karma-farm wave. Kept 4,456,560 of 5,930,785 records
(75.1%) from 1,030,104 pre-ChatGPT authors.
author_first_seen.parquet maps every hashed author to first-seen… See the full description on the dataset page: https://huggingface.co/datasets/CompassioninMachineLearning/reddit-control-discourse-2016-present-pretau.reddit-animal-discourse-2016-present-pretau
Reddit Animal Discourse 2016-present — Pre-ChatGPT Participants
Subset of CompassioninMachineLearning/reddit-animal-discourse-2016-present restricted to hashed authors whose first comment in the corpus
predates ChatGPT (2022-11-30). Robustness arm: isolates established human participants from
the post-2022 LLM-bot / karma-farm wave. Kept 4,852,036 of 6,221,220 records
(78.0%) from 343,756 pre-ChatGPT authors.
author_first_seen.parquet maps every hashed author to first-seen date… See the full description on the dataset page: https://huggingface.co/datasets/CompassioninMachineLearning/reddit-animal-discourse-2016-present-pretau.disco-model-outputs
DISCO model outputs
Tabular release of per-model, per-item correctness and answer scores used to train and evaluate DISCO: Diversifying Sample Condensation for Efficient Model Evaluation. The paper studies cheap benchmark performance prediction from a small subset of evaluation items; this dataset supplies the raw harness-style outputs for MMLU (57 subjects), HellaSwag, Winogrande, ARC, and related tasks from the Open LLM Leaderboard ecosystem.
Paper
Hugging Face… See the full description on the dataset page: https://huggingface.co/datasets/arubique/disco-model-outputs.parkinsons-evidence-to-discovery-prioritisation
Parkinson's Disease Evidence-to-Discovery Prioritisation Dataset
This Hugging Face dataset package contains processed research assets from an AI-assisted evidence synthesis and computational validation project on Parkinson's disease (PD) prevention and disease-modifying therapeutic strategy prioritisation.
Dataset Summary
The dataset integrates:
evidence-priority scores for PD prevention and disease-modification candidates;
pathway-to-intervention framework;
individual… See the full description on the dataset page: https://huggingface.co/datasets/hssling/parkinsons-evidence-to-discovery-prioritisation.hf-coding-tools-traces-discovery
HuggingFace AI Coding Tools — Agent Traces
This dataset rehydrates the benchmark results from
davidkling/hf-coding-tools-dashboard
into the JSONL session format consumed by the
Hugging Face Agent Trace Viewer.
What's inside
31 sessions, one per (tool, model, effort, thinking) configuration
9,022 query → response turns total (≈18,044 events)
Tools covered: claude_code, codex, copilot, cursor
Models: claude-opus-4-6, claude-sonnet-4-6, claude-sonnet-4.6, composer-2… See the full description on the dataset page: https://huggingface.co/datasets/davidkling/hf-coding-tools-traces-discovery.eval-deployment-discriminationbeanbag-discrimination-v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/jayp132/beanbag-discrimination-v2.Reverse-circuit-discoveryreddit-animal-discourse-2016-present
Reddit Animal Discourse (2016-present)
Treatment arm of the value-lock-in study, extended back to Jan 2016 to give a long pre-ChatGPT baseline for event-study leads/lags (parallel-trends test) and in-time placebo breakpoints (2017/2018/2019). 2020-present is the authoritative clean+dedup corpus; 2016-2019 is a 2,500/month-capped backfill, cleaned and deduped to the same rule. Authors salted-hashed.
Pairs with the other arm for difference-in-differences / event-study analysis… See the full description on the dataset page: https://huggingface.co/datasets/CompassioninMachineLearning/reddit-animal-discourse-2016-present.pd-discovery-benchmark-dashboard
Parkinson's Disease Discovery Benchmark Dashboard
Reusable benchmark, knowledge graph, manuscript resource, and Streamlit dashboard for Parkinson's disease target-to-intervention discovery.
This repository integrates evidence-synthesis priority scores, target tractability, omics/pathway recurrence, ChEMBL compound activity, RDKit physicochemical heuristics, Human Protein Atlas cell-type context, iPSC/stem-cell validation mappings, and publication-ready figures.… See the full description on the dataset page: https://huggingface.co/datasets/hssling/pd-discovery-benchmark-dashboard.beanbag-discrimination-cleanThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/jayp132/beanbag-discrimination-clean.panda_pick_cube_demos_sim_discrete_newThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": null,
"total_episodes": 30,
"total_frames": 3570,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:30"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/KeWangRobotics/panda_pick_cube_demos_sim_discrete_new.ontario-lobbying-disclosure-graph
Ontario Lobbying & MPP Disclosure Graph
A structured, entity-resolved projection of three public Ontario government
records sources, exported as flat, documented parquet tables:
Ontario Lobbyist Registry (Office of the Integrity Commissioner of
Ontario, lobbyist.oico.on.ca) — lobbyist registrations: who is registered to
lobby, for which client, about what, aimed at which offices.
MPP Public Disclosure Statements (Office of the Integrity Commissioner
of Ontario, PDS) — annual… See the full description on the dataset page: https://huggingface.co/datasets/agoulah/ontario-lobbying-disclosure-graph.agent-llm-traces
Multi-Benchmark LLM Agent Traces
A comprehensive dataset of OpenTelemetry traces capturing LLM inference behavior across multiple agent frameworks, benchmarks, and model providers. This dataset enables research into LLM performance analysis, agent behavior patterns, and inference optimization.
Collected by Exgentic - A platform for LLM observability and performance optimization.
Dataset Overview
This dataset contains 1,781 execution traces capturing detailed agent… See the full description on the dataset page: https://huggingface.co/datasets/DiscoPosse/agent-llm-traces.reddit-control-discourse-2016-present
Reddit Control Discourse (2016-present)
Graded placebo panel for the animal value-lock-in study: craft/skill (r/woodworking, r/gardening, r/DIY, r/Cooking, r/knitting), mild-value (r/Fitness, r/Parenting), and high-value non-animal debate (r/changemyview, r/DebateReligion). Lets the analysis test a dose-response: discourse-diversity kinks at LLM-release dates should scale with how value-contested a topic is, and be absent in craft talk. RAW (diversity notebook cleans at load).… See the full description on the dataset page: https://huggingface.co/datasets/CompassioninMachineLearning/reddit-control-discourse-2016-present.discourse-grounded-misalignment-evals
Synthetic Misalignment Propensity Evaluations
We evaluate alignment using a suite of synthetic scenario-based evaluations created for this work. Each question presents
the AI with a high-stakes setting requiring a choice between two actions: one aligned and one misaligned. The misaligned
action is typically framed as instrumentally appealing, making these evaluations a relevant proxy for misaligned AIs across
a range of terminal goals (Bostrom, 2012).
We measure tendencies toward… See the full description on the dataset page: https://huggingface.co/datasets/geodesic-research/discourse-grounded-misalignment-evals.edm-cuefrom datasets import load_dataset
captions = load_dataset("disco-eth/edm-cue")
What is EDM-CUE?
The EDM-CUE dataset contains metadata for ~5k EDM tracks. Cue points are essential for DJs, so we asked the question "can they be placed by a learned system?" To Answer this question we gathered 21k cue points manually placed by human experts, and provide them in this dataset for future use.
To cite this dataset or for more information, please see Cue Point Estimation using Object… See the full description on the dataset page: https://huggingface.co/datasets/disco-eth/edm-cue.