datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SpIDER-Bench
SpIDER-Bench
Repository dependency graphs for software issue localization — the graph data behind
SpIDER: Spatially Informed Dense Embedding Retrieval for Software Issue Localization
(arXiv:2512.16956).
Each benchmark instance gets one directed multigraph of its repository at the commit the
issue was filed against. Nodes are directories, files, classes and functions carrying
their source; edges are contains / imports / inherits / invokes relations between
them. SpIDER uses these… See the full description on the dataset page: https://huggingface.co/datasets/AmazonScience/SpIDER-Bench.table_spill_cleanup_bimanual
Exylos Bimanual Spill Cleanup — Rich-Modality 50-Episode Sample
50 episodes of a bimanual Franka Panda wiping a liquid spill off a tabletop. Synthetic, VR-teleop demonstrations retargeted to two 7-DoF arms — 6 RGB views (3 with depth + segmentation), 6-DoF object poses, and a ground-truth dirty_fraction cleanliness signal, packaged in LeRobot v2.1.
Release note: this rich-modality v2 release replaces the original public 50-episode preview in place. The previous dataset… See the full description on the dataset page: https://huggingface.co/datasets/ExylosAi/table_spill_cleanup_bimanual.spider_mcqa_v0.2_full
Spider-MCQA
Converted Spider Text-to-SQL (Paper: Yu et al., 2018; HF Dataset) test set into multiple-choice.
The dataset contains 1,034 examples.
Dataset Fields
Each JSON record contains:
query: the schema and natural-language question prompt.
gold_answer: the correct SQL answer.
options: four SQL answer options, including the gold answer and three generated distractors.
correct_option_index: the index of the correct answer in options.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/notpaulmartin/spider_mcqa_v0.2_full.taskcompendium-spike
TaskCompendium spike examples
Schema 0.9 contains 63 semantic TaskSpec records and 164 Harbor lowerings. A TaskSpec defines the problem, semantic requirements, provenance, and private correctness contract. A lowering chooses model-visible instructions, result rendering, target binding, and public tools. It does not choose a model or harness.
from datasets import load_dataset
specifications = load_dataset("open-athena/taskcompendium-spike", "specifications", split="examples")… See the full description on the dataset page: https://huggingface.co/datasets/open-athena/taskcompendium-spike.SemanticVLA-TraceX-240K-DROID
SemanticVLA TraceX 240K · DROID
🎉 Accepted to CVPR 2026.
✍️ Fei Ni¹, Zhuo Chen², Yifu Yuan³, Zibin Dong³, Xianze Yao³, Shan Luo², Jianye Hao³, Jiankang Deng¹†, Stefanos Zafeiriou¹†
🏫 ¹Imperial College London ²King's College London ³Tianjin University
✉️ Primary contact: f.ni@imperial.ac.uk
The DROID component of TraceX-240K — the trace-annotated trajectory corpus introduced in SemanticVLA. This package is a LeRobot v3.0 repack of DROID · Franka · Open-X-Embodiment DROID… See the full description on the dataset page: https://huggingface.co/datasets/spikefly/SemanticVLA-TraceX-240K-DROID.spider-text-to-sql
Spider Text-to-SQL with LLM-Judge Labels
This dataset extends Spider 1.0 with SQL predictions from gpt-5.4-mini and two correctness labels per example: a hybrid ground truth label and an LLM judge label from gpt-5.4.
Files
File
Description
spider_dataset.parquet
Full dataset with predictions and labels
scripts/
Reproduction scripts (see below)
Dataset statistics
Source: Spider 1.0 training split (train_spider.json)
Databases: the… See the full description on the dataset page: https://huggingface.co/datasets/Glide-py/spider-text-to-sql.PHI-SPIKE-C172x-Community-Dataset-v1.0
PHI-SPIKE C172X Community Dataset v1.0
Dataset Summary
PHI-SPIKE C172X Community Dataset v1.0 is a simulation-based aerospace Prognostics and Health Management (PHM) dataset and training-artifact release developed from the PHI-SPIKE C172X research campaign.
The release provides:
JSBSim C172X reference telemetry;
benchmark metadata;
training histories;
trained PyTorch model checkpoints;
per-run evaluation metrics; and
five-seed campaign summaries.
The dataset is… See the full description on the dataset page: https://huggingface.co/datasets/SM-Bello/PHI-SPIKE-C172x-Community-Dataset-v1.0.spine
GUI World Model — Spine Transitions
(s, a, s') transitions collected by walking task instructions on a live
Ubuntu desktop. Every state is captured from the running machine: a screenshot,
the accessibility tree as XML, and the rendered element table the model reads.
This set is spine only — the path an agent actually took. No branches.
Where the instructions come from
instruction_source
what it is
agentnet
Human recordings of people using their own… See the full description on the dataset page: https://huggingface.co/datasets/gui-wm/spine.Spikenaut-SNN-Telemetry
🧠 Spikenaut SNN Telemetry Dataset
"The threshold at which stimulus becomes perceptible"
Telemetry for the Spikenaut Supervisor control stack: v3 restructures this
corpus from time-series forecasting into an action-proposal trajectory
dataset — states, proposed actions, safety-filter verdicts, and outcomes —
while every v2 config remains published, byte-identical and loadable.
The control hierarchy this dataset serves:
learned policy → action proposal → deterministic safety… See the full description on the dataset page: https://huggingface.co/datasets/rmems/Spikenaut-SNN-Telemetry.finewebv2-beng-tokenizedtable_spill_cleanup_bimanual_rgbd_segmentation_poses
Exylos Bimanual Table Spill Cleanup Rich-Modality Sample
A compact, rich-modality bimanual robot manipulation dataset for tabletop spill cleanup.
Each episode combines synchronized dual-arm Panda state/action trajectories, 7 RGB camera streams, per-frame depth maps, per-frame segmentation masks, object pose streams, phase annotations, and an objective cleanup success metric based on the remaining spill fraction.
This dataset is a rich-modality inspection sample for the Exylos… See the full description on the dataset page: https://huggingface.co/datasets/ExylosAi/table_spill_cleanup_bimanual_rgbd_segmentation_poses.spite-gigaspeech-Euro9B
Spite Dataset
Pseudolabeled speech translation data with quality annotations from multiple metrics. This version uses transcripts from GigaSpeech and translations from EuroLLM-9B-Instruct.
Configs
en_de
en_es
en_fr
en_it
en_ko
en_nl
en_pt
en_ru
en_zh
Usage
from datasets import load_dataset
ds = load_dataset("bpop/spite-CV16-Euro9B", "en_pt")
agilex_put_spitballs_in_carton_2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "arx5_bimanual",
"total_episodes": 40,
"total_frames": 16960,
"total_tasks": 1,
"total_videos": 120,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 25,
"splits": {
"train": "0:40"
},
"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/villekuosmanen/agilex_put_spitballs_in_carton_2.doe-genesis-sealed-n2500
Demonstration receipts (n=2500)
These are demonstration envelopes from a filing. n=2500 is a demonstration number. Each row is one trajectory summary, not a 1 kHz pulse and not a timeseries. 15 banks (37,500 rows). Per-row proof_hash. File cryptographic_seal.
What a stranger sees if they cite this zip
They land on a grant-shaped shelf: 15 configs next to each other, mass/μ/booleans/proof_hash. No pulse. No 4×4 taxels. No sentence that this is the direction for… See the full description on the dataset page: https://huggingface.co/datasets/spiderpilot89/doe-genesis-sealed-n2500.calcium-spike-inference-gcamp6f
Calcium spike inference, GCaMP6f
Two-photon and one-photon calcium-imaging recordings with ground-truth spikes, GCaMP6f only,
prepared for a spike-inference task. Eighty-one sessions across six behavioural paradigms, four
quality levels (typical, low SNR, high SNR, high motion) and two modalities, with per-session frame
rate (6.1 to 30.9 Hz), duration (50 to 403 s) and cell count (41 to 140) all varying.
heldout/heldout-000.npz ... heldout-026.npz 27 sessions: traces only, no… See the full description on the dataset page: https://huggingface.co/datasets/Emulated-Inc/calcium-spike-inference-gcamp6f.2026-05-11_free-spinning-with-rinseThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "aloha",
"total_episodes": 75,
"total_frames": 8838,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 200,
"video_files_size_in_mb": 200,
"fps": 50,
"splits": {
"train": "0:75"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/lyl472324464/2026-05-11_free-spinning-with-rinse.whiskydb-fine-spirits-sample
🥃 WhiskyDB — Fine Spirits & Whisky Dataset (Free Sample)
Full dataset: whiskydb.dataengineered.io · $49 one-time (or $49 / month with the monthly refresh) → Buy once · Subscribe · the same sample on Kaggle
A free sample of WhiskyDB: a structured, relational dataset of whiskies and fine spirits built entirely from open, legally accessible public sources — government label registries (US TTB COLA), corporate registries (UK Companies House), the EU eAmbrosia GI register, Open… See the full description on the dataset page: https://huggingface.co/datasets/Ichlibitiche/whiskydb-fine-spirits-sample.OlmoEarth-v1-Potomac-Sewage-Spill-2026
OlmoEarth-v1-Potomac-Sewage-Spill-2026
Validated, time-aligned reference dataset supporting GeoAI tracking of the 2026 Potomac River sewage spill (Glen Echo, MD — 240–300 million gallons released from the 72-inch Potomac Interceptor on January 19, 2026). Provides event timeline, hydrologic context, monitoring station locations, and AOI corridor polygons for AI2's downstream Sentinel-1/2 plume detection.
8 USGS gauges · 846 daily flow records · 4 CBP/CBF stations in AOI · 37 NHD… See the full description on the dataset page: https://huggingface.co/datasets/BAIGroup/OlmoEarth-v1-Potomac-Sewage-Spill-2026.SemanticVLA-TraceX-240K-Fractal
SemanticVLA TraceX 240K · Fractal (RT-1)
🎉 Accepted to CVPR 2026.
✍️ Fei Ni¹, Zhuo Chen², Yifu Yuan³, Zibin Dong³, Xianze Yao³, Shan Luo², Jianye Hao³, Jiankang Deng¹†, Stefanos Zafeiriou¹†
🏫 ¹Imperial College London ²King's College London ³Tianjin University
✉️ Primary contact: f.ni@imperial.ac.uk
The Fractal (RT-1) component of TraceX-240K — the trace-annotated trajectory corpus introduced in SemanticVLA. This package is a LeRobot v3.0 repack of Fractal · Google Robot ·… See the full description on the dataset page: https://huggingface.co/datasets/spikefly/SemanticVLA-TraceX-240K-Fractal.SemanticVLA-TraceX-240K-Bridge
SemanticVLA TraceX 240K · Bridge
🎉 Accepted to CVPR 2026.
✍️ Fei Ni¹, Zhuo Chen², Yifu Yuan³, Zibin Dong³, Xianze Yao³, Shan Luo², Jianye Hao³, Jiankang Deng¹†, Stefanos Zafeiriou¹†
🏫 ¹Imperial College London ²King's College London ³Tianjin University
✉️ Primary contact: f.ni@imperial.ac.uk
The Bridge component of TraceX-240K — the trace-annotated trajectory corpus introduced in SemanticVLA. This package is a LeRobot v3.0 repack of BridgeData V2 · WidowX with dense… See the full description on the dataset page: https://huggingface.co/datasets/spikefly/SemanticVLA-TraceX-240K-Bridge.spider2-snow-temperature-sweep
Spider 2.0-Snow Temperature-Sweep Rollouts (Qwen3, thinking vs. non-thinking)
Unconstrained language-model rollouts on the Spider 2.0-Snow text-to-SQL benchmark,
sampled from Qwen3 models in both thinking and non-thinking modes. The dataset is
intended for analyzing sampling behavior (temperature, reasoning mode, model size) on hard,
enterprise-scale text-to-SQL. These are generations only — execution correctness (eval)
is added in a separate scoring pass.
Configs… See the full description on the dataset page: https://huggingface.co/datasets/vxef/spider2-snow-temperature-sweep.green-vla-spiral-trackio-dataOlmoEarth-v1-Potomac-Sewage-Spill-2026
OlmoEarth-v1-Potomac-Sewage-Spill-2026
Validated, time-aligned reference dataset supporting GeoAI tracking of the 2026 Potomac River sewage spill (Glen Echo, MD — 240–300 million gallons released from the 72-inch Potomac Interceptor on January 19, 2026). Provides event timeline, hydrologic context, monitoring station locations, and AOI corridor polygons for AI2's downstream Sentinel-1/2 plume detection.
8 USGS gauges · 846 daily flow records · 4 CBP/CBF stations in AOI · 37 NHD… See the full description on the dataset page: https://huggingface.co/datasets/2imi9/OlmoEarth-v1-Potomac-Sewage-Spill-2026.descent-format-spice
Dataset Card for Meta-OMol25 Descent Formatted SPICE2 v1.0
Dataset Details
Dataset Description
Meta-OMol25 provides molecular structures, coordinates, energies, and forces, and we derived mapped SMILES for broad OpenFF parameter fitting workflows. This release is designed for general fitting and evaluation of van der Waals and valence terms.
Curated by: Jennifer A Clark; jaclark5
Funded by: Open Force Field Initiative
Shared by: Open Force Field Initiative… See the full description on the dataset page: https://huggingface.co/datasets/openforcefield/descent-format-spice.gigakriya-v1-cleanedspiral-bench-v1.0-results-conversationsThis dataset contains multi-turn chat transcripts in messages
(list of objects with keys content and role). The Hub viewer is
auto-detected from this schema.
classical-grasp
Classical grasp (n=2500 envelope + 1 kHz pulse)
Friction cone on a 4×4 pad. Local slip if |τ| > μ N. Micro: outer ring, inner stuck (or shear within 10% of the cone). Macro: inner slip or |v_slip| > 0.005 m/s. Reflex ramps F ← F + scale·dt, clamp 45 N. Law: evaluate_grasp_dynamics in src/physics/dexterous.rs. Reflex twin: ztp_dexterous_evaluate_grasp.
Clock
Envelope rows are summaries of 1 kHz loops. Pulse is 100 steps at dt = 0.001 s.
Envelope rates… See the full description on the dataset page: https://huggingface.co/datasets/spiderpilot89/classical-grasp.SPICE_2023
Cite this dataset Eastman, P., Behara, P. K., Dotson, D. L., Galvelis, R., Herr, J. E., Horton, J. T., Mao, Y., Chodera, J. D., Pritchard, B. P., Wang, Y., Fabritiis, G. D., and Markland, T. E. SPICE 2023. ColabFit, 2023. https://doi.org/10.60732/a613a175
This dataset has been curated and formatted for the ColabFit Exchange
This dataset is also available on the ColabFit Exchange:
https://materials.colabfit.org/id/DS_kg0dv12aiq97_0… See the full description on the dataset page: https://huggingface.co/datasets/colabfit/SPICE_2023.slay-the-spire-1-card-embeddings
Slay the Spire 1: Card Embeddings
1024-D unit-normalized text embeddings for every card in Slay the Spire, produced by inference with the pretrained Qwen/Qwen3-Embedding-0.6B (frozen, no fine-tuning was done to generate this dataset). Collected for ML/DL training: drop directly into a retriever, similarity index, or downstream model that consumes pre-encoded vectors.
This is the text-embeddings dataset. Companion datasets, all joinable on id:
t22000t/slay-the-spire-1-cards -… See the full description on the dataset page: https://huggingface.co/datasets/yu1hua2zhang3/slay-the-spire-1-card-embeddings.humanoid_pick_stackThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 10,
"features": {
"observation.state": {
"dtype": "float32",
"shape": [
14
],
"names": [
"s0",
"s1",
"s2",
"s3",
"s4",
"s5",
"s6",
"s7"… See the full description on the dataset page: https://huggingface.co/datasets/SpiderWolf6/humanoid_pick_stack.