datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
debate-tracking-v3
Debate Tracking Dataset v3
Training data from 30 competitive debates (10 topics × 3 judges) with multi-response scoring.
Dataset Description
Each row represents a single LLM call during debate generation, with multiple response variations scored by Claude Sonnet.
Statistics
Debates: 30
Topics: 10 diverse IPDA debate resolutions
Judges: 3 different judge profiles (lay, parent, coach)
Training Examples: 1,816 calls
Winner Distribution: AFF 33%, NEG 67%… See the full description on the dataset page: https://huggingface.co/datasets/debaterhub/debate-tracking-v3.gripper_tracking_testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": null,
"total_episodes": 11,
"total_frames": 40060,
"total_tasks": 1,
"total_videos": 22,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:11"},
"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/Flova/gripper_tracking_test.drone_tracking
UAV Drone Detection Dataset
Drone bounding box detections extracted from UAV video footage using a fine-tuned YOLOv8n model.
Dataset Details
Format: Parquet
Rows: 1,406 detections
Source videos: 2 drone videos (828 and 2580 frames)
Model: YOLOv8n fine-tuned on pathikg/drone-detection-dataset (3,000 images, 30 epochs)
Confidence threshold: 0.1
Columns
Column
Type
Description
video_name
str
Source video identifier
frame_number
int
Frame index in… See the full description on the dataset page: https://huggingface.co/datasets/nazzzz5265/drone_tracking.SNGAR-Action-Spotting-Tracking-deprecated
SN-GAR Action Spotting - tracking
64 whole-match player/ball tracking tables at ~29.97 Hz (11,849,815 frames), with 87,939 action-spotting annotations across 10 labels.
This is one of a pair of datasets built in a single pass from the same raw
source. SNGAR-Action-Spotting-Tracking ships tracking tables,
SNGAR-Action-Spotting-Video
ships the broadcast video, and both carry byte-identical ground truth - the
same games, the same splits, the same event lists in the same order. A… See the full description on the dataset page: https://huggingface.co/datasets/OpenSportsLab/SNGAR-Action-Spotting-Tracking-deprecated.biohub-cell-tracking-dodecatiad
Biohub Cell Tracking — Multiscale Dodecatiad Morphogenesis Dataset
Authorship: Fabrício da Silva (Artificer & Independent Researcher, OmniMind Sovereign Mesh)Affiliation: Doxihewu Epistemological Terreiro / OmniMind Digital KilomboSource Competition: Kaggle: Biohub - Cell Tracking During DevelopmentMethodological Alignment: Da Geometria à Substância: Corpo, Vulnerabilidade Genética e Topologia Neuro-Correlata sob a Dodecatíade Multiescalar (Silva, 2026)
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/fabricioslv/biohub-cell-tracking-dodecatiad.nigerian_transport_and_logistics_shipment_tracking
Nigeria Transport & Logistics – Shipment Tracking | Africa (Electric Sheep Africa metadata inventory)
Size category: 100K<n<1M - Formats: parquet - Sector: infrastructure_transport - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/nigerian_transport_and_logistics_shipment_tracking.mouse_movement_trackingtracking_stateThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 1,
"total_frames": 805,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"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/21andrewch/tracking_state.asia-aid-flows-financial-tracking-private-sector-nepal2
Financial tracking of private sector contributions Nepal 2015
Publisher: OCHA HQ · Source: HDX · License: cc-by-igo · Updated: 2023-05-02
Abstract
Information on the private sector cash and in-kind contributions to humanitarian relief efforts in Nepal earthquake.
Each row in this dataset represents tabular records. Temporal coverage is indicated by the unnamed_11, unnamed_12 column(s). Geographic scope: NPL, NEPAL-EARTHQUAKE.
Curated into ML-ready Parquet format by… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-aid-flows-financial-tracking-private-sector-nepal2.africa-burundi-burundi-emergencies-tracking-tool-ett-5bbcf17c
Burundi: Emergencies Tracking Tool - ETT | Africa (Burundi official open data)
1,502 rows - 1 Africa country - 2018-2023 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official XLSX resource from Burundi as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
About the source
Source: Burundi: Emergencies Tracking Tool - ETT… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-burundi-burundi-emergencies-tracking-tool-ett-5bbcf17c.tracking_basket_4point_0425This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 37,
"total_frames": 35808,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:37"
},
"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/chen4803/tracking_basket_4point_0425.hand_tracking_pv_carton_dual_view
hand_tracking_pv_carton_dual_view
The raw PressureVision carton recordings. 54 episodes, 13,369 frames, 10 Hz,
front and side RGB, six-joint state and action. LeRobot format v3.0.
This is the source the rest of the carton line derives from, which is why it
is here: hand_tracking_pv_carton_phase_b (30 reviewed episodes) and its
_train24 / _train24_onset_qreplace splits are all built from these
recordings by
build_phase_b_training_dataset.py.
A derived set can be rebuilt from this… See the full description on the dataset page: https://huggingface.co/datasets/stevenzenith/hand_tracking_pv_carton_dual_view.tracking_basket_0425This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 0,
"total_frames": 0,
"total_tasks": 0,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {},
"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/chen4803/tracking_basket_0425.hand_tracking_pv_carton_middle_standard
hand_tracking_pv_carton_middle_standard
13 episodes, 2,902 frames, 10 Hz, front and side RGB, six-joint state and
action. LeRobot format v3.0.
Recorded with the middle-pose convention, and used together with
hand_tracking_pv_carton_phase_b
to fine-tune
act_carton_middle_labels_5k
from a 50k ACT base. The exact episode selection and the hand-made recovery
labels live in
training/train_middle_labeled_act.py:
episodes 0-7, 10 and 11 of this dataset, plus 1, 9, 14, 20 and 26 of… See the full description on the dataset page: https://huggingface.co/datasets/stevenzenith/hand_tracking_pv_carton_middle_standard.asia-returnees-yemen-displacement-daily-tracking-idps-r
Yemen Displacement - Daily Tracking - [IDPs, Returnees] - [IOM DTM]
Publisher: International Organization for Migration (IOM) · Source: HDX · License: cc-by · Updated: 2025-11-24
Abstract
DTM’s Displacement Tracking tool collects and reports on displaced numbers of households on a daily basis, allowing for regular reporting of new displacements in terms of numbers, geography and needs. More than 3.6 million people are displaced as per August 2018 assessment.
Each row in… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-returnees-yemen-displacement-daily-tracking-idps-r.hand_tracking_pick_placeThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 10,
"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/stevenzenith/hand_tracking_pick_place.africa-liberia-liberia-rumors-tracking-ebola-2015-49cf291e
Liberia - Rumors Tracking - Ebola 2015 | Africa (Liberia official open data)
191 rows - 1 Africa country - 2015-2027 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official XLS resource from Liberia as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
About the source
Source: Liberia - Rumors Tracking - Ebola 2015… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-liberia-liberia-rumors-tracking-ebola-2015-49cf291e.covid-tracking-project
COVID Tracking Project — US states daily (archived)
The COVID Tracking Project was a volunteer-run effort that ended 2021-03-07. State data
was assembled from each state's public dashboard, with curatorial corrections. Authoritative
until federal reporting (HHS Protect → NHSN HRD) caught up.
Source: https://covidtracking.com/
Coverage
Time: 2020-01-13 → 2021-03-07
Cadence: daily (observed median spacing: 1 days)
Geography levels: subnational-state — 56 unique location… See the full description on the dataset page: https://huggingface.co/datasets/EPI-Eval/covid-tracking-project.africa-sudan-sudan-emergency-event-tracking-report-ag-geneina-west-darf-efa189cc
Sudan – Emergency Event Tracking Report Ag Geneina, West Darfur 019 | Africa (Sudan official open data)
12,203 rows - 1 Africa country - 2021 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official XLSX resource from Sudan as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
About the source
Source: Sudan – Emergency Event… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-sudan-sudan-emergency-event-tracking-report-ag-geneina-west-darf-efa189cc.hand_tracking_pv_carton_phase_bThis dataset was created using LeRobot.
Dataset Description
Private Phase B training dataset for adaptive 250 g paper-carton grasping with an SO-101 arm. It contains 30 reviewed formal episodes at 10 Hz with front and side RGB video, six-joint observations, and six-joint actions. Audit-only PressureVision/teacher fields and constant grip-context dimensions are intentionally excluded. See source_episode_map.csv and phase_b_training_manifest.json for provenance and coverage… See the full description on the dataset page: https://huggingface.co/datasets/stevenzenith/hand_tracking_pv_carton_phase_b.MABe-2025_test-trackingdebate-tracking-datasetdrone-detection-trackingUAV Drone Detection and Tracking
Overview
This dataset contains drone detection results generated from a UAV drone detection and tracking pipeline.
The pipeline performs:
Frame extraction from drone videos
Drone detection using YOLOv8
Trajectory tracking using a Kalman Filter
Visualization of the tracked drone path
Each row in the dataset corresponds to a detection result for a specific frame.
Dataset Structure
The dataset is stored in Parquet format:
drone_detections.parquet
Each record… See the full description on the dataset page: https://huggingface.co/datasets/shivangisrivastava013/drone-detection-tracking.MABe-2025_test-tracking_RAW