datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pixmo-points
PixMo-Points
PixMo-Points is a dataset of images paired with referring expressions and points marking the locations the
referring expression refers to in the image. It was collected using human annotators and contains a diverse
range of points and expressions, with many high-frequency (10+) expressions.
PixMo-Points is a part of the PixMo dataset collection and was used to
provide the pointing capabilities of the Molmo family of models
Quick links:
📃 Paper
🎥 Blog with Videos… See the full description on the dataset page: https://huggingface.co/datasets/allenai/pixmo-points.ro_sft_pixmo_points
Dataset Description
PixmoPoints is a dataset of images paired with referring expressions and points marking the locations the referring expression refers to in the image.
Here we provide the Romanian translation of the PixmoPoints dataset, translated with Seed-X-PPO.
This dataset is part of the instruction finetune protocol for Romanian VLMs proposed in "Înțelegi românește?" A Recipe for Romanian Vision-Language Models (Masala et al., 2026).
Citation… See the full description on the dataset page: https://huggingface.co/datasets/surogate/ro_sft_pixmo_points.pixmo-pointspixmo-points-filtered-below10_imgContainedmelting_points
Dataset Details
Dataset Description
Literature mined data on melting points of organic compounds.
Curated by:
License: CC BY 4.0
Dataset Sources
original data source
Citation
BibTeX:
@article{Tetko_2014,
doi = {10.1021/ci5005288},
url = {https://doi.org/10.1021%2Fci5005288},
year = 2014,
month = {dec},
publisher = {American Chemical Society ({ACS})},
volume = {54},
number = {12},
pages = {3320--3329},
author = {Igor V. Tetko… See the full description on the dataset page: https://huggingface.co/datasets/jablonkagroup/melting_points.pixmo-points-evalpixmo-points-eval
PixMo-Points-Eval
PixMo-Points-Eval is a subset of PixMo-Points that has been human-filtered and annotated with segmentation masks.
It is used for pointing evaluations.
PixMo-Points is a part of the PixMo dataset collection and was used to
provide the pointing capabilities of the Molmo family of models
Loading
data = datasets.load_dataset("allenai/pixmo-points-eval", split="test")
Data Format
Images are stored as URLs that will need to be downloaded… See the full description on the dataset page: https://huggingface.co/datasets/allenai/pixmo-points-eval.molmo2-pixmo-multi-pointsplant-health-points-synthetic
Synthetic Plant Health Points
A deterministic, fully synthetic tabular dataset for learning ML/deep learning workflows such as MLP regression and classification. It is not appropriate for scientific conclusions, production agronomy, or plant-care decisions.
Splits
train.csv: 2,000 rows
test.csv: 500 rows
Columns
Column
Meaning
plant_type
Plant species/type
habitat
Growing context
season
Seasonal category
air_humidity_pct /… See the full description on the dataset page: https://huggingface.co/datasets/soumikmahato/plant-health-points-synthetic.vox2_points
Dataset Card for "vox2_points"
More Information needed
molmo2-academic-video-points
AcademicTrackingPoints
Video object tracking point annotations derived from academic video segmentation
and tracking benchmarks. Each row contains per-frame point locations for tracked
objects across video clips, along with category labels, frame metadata, and object counts.
Subsets
Subset
Description
Train
Val
lvvis
Large Vocabulary Video Instance Segmentation
yes
yes
ovis
Occluded Video Instance Segmentation
yes
burst
Benchmark for Unifying Recognition… See the full description on the dataset page: https://huggingface.co/datasets/allenai/molmo2-academic-video-points.PointSplat_example_data
PointSplat Example Data
This repository hosts compact example data for running PointSplat inference locally.
The zip archives are the recommended download format for reproducing the commands in the PointSplat README. The Dataset Viewer shows a small preview split with one fixed camera per scene:
DNA-Rendering: 16 validation scenes, camera 23, frame 000030.
THuman2.0: 10 validation scenes, view 000, frame 2.
Files
File
Content
Local target path… See the full description on the dataset page: https://huggingface.co/datasets/Yujie0012/PointSplat_example_data.libero-goal-points-patchpolicy
LIBERO-Goal point clouds for patch_policy_cleanup
The generated-not-downloaded files needed to train the point-cloud and point-caption conditioners in
llm-robotics/patch_policy_cleanup, plus the two
HDF5 trees they were derived from.
The base LIBERO demonstrations (images, actions, states) are not here — they come from
gaoyuezhou/patch-policy-datasets.
This dataset only supplies the per-demo files that repo's scripts generate, so a new machine does not have
to re-run them.… See the full description on the dataset page: https://huggingface.co/datasets/ParsaSharifi/libero-goal-points-patchpolicy.jawiki-bullet-points日本語Wikipediaから抽出したテキストに基づいて、rinna/deepseek-r1-distill-qwen2.5-bakeneko-32bとhttps://huggingface.co/cyberagent/DeepSeek-R1-Distill-Qwen-32B-Japaneseを用いて箇条書きにしたデータセットです。
重複を許してランダムにサンプリングしながら生成をしたので、collection subsetにある事例がgenerated subsetに無い場合があります。
また、HF上のviewerでは改行や空白がうまく見えませんが、実際にはほとんどの箇条書きの要素が改行で区切られています。
生成に用いたモデルがApache 2.0で配布されていること、日本語Wikipediaのテキストを用いていることから、本データセットはCC-BY-SA 4.0での配布とします。
driver-license-points-thresholds-by-state
Driver's license point systems: suspension thresholds and lookback periods by US state
Canonical, always-current version: https://referencesource.org/driver-license-points-thresholds-by-state/
Machine-readable: https://referencesource.org/driver-license-points-thresholds-by-state/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-19
Stale after: 2027-08-19 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/driver-license-points-thresholds-by-state.construction_pointsaime_amc_olym_with_knowledge_pointslaser_routing_dot_points_lerobot_v3_100This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "ur5_wsg50_laser_routing",
"total_episodes": 100,
"total_frames": 16928,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:100"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/ajaysri/laser_routing_dot_points_lerobot_v3_100.nigeria-water-points-wpdx
Nigeria Water Point Data Exchange (WPdx) | 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 Covers… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/nigeria-water-points-wpdx.ro_sft_pixmo_points
Dataset Description
PixmoPoints is a dataset of images paired with referring expressions and points marking the locations the referring expression refers to in the image.
Here we provide the Romanian translation of the PixmoPoints dataset, translated with Seed-X-PPO.
This dataset is part of the instruction finetune protocol for Romanian VLMs proposed in "Înțelegi românește?" A Recipe for Romanian Vision-Language Models (Masala et al., 2026).
Citation… See the full description on the dataset page: https://huggingface.co/datasets/OpenLLM-Ro/ro_sft_pixmo_points.pixmo-points
PixMo-Points
PixMo-Points is a dataset of images paired with referring expressions and points marking the locations the
referring expression refers to in the image. It was collected using human annotators and contains a diverse
range of points and expressions, with many high-frequency (10+) expressions.
PixMo-Points is a part of the PixMo dataset collection and was used to
provide the pointing capabilities of the Molmo family of models
Quick links:
📃 Paper
🎥 Blog with Videos… See the full description on the dataset page: https://huggingface.co/datasets/mlmPenguin/pixmo-points.ro_pixmo_points_eval
Dataset Description
Pixmo-Points is a dataset that has been human-filtered and annotated with segmentation masks. It is used for pointing evaluations.
Here we provide the Romanian translation of Pixmo-Points test set, translated with gpt-4.1-mini. This dataset is used as a benchmark and is part of the evaluation protocol for Romanian VLMs proposed in "Înțelegi românește?" A Recipe for Romanian Vision-Language Models (Masala et al., 2026).
Citation… See the full description on the dataset page: https://huggingface.co/datasets/OpenLLM-Ro/ro_pixmo_points_eval.africa-sudan-darfur-locality-points-sudan-e96777fc
Darfur Locality Points, Sudan | Africa (Sudan official open data)
869 rows - 1 Africa country - not-applicable - 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: Darfur Locality Points, Sudan
Publisher: OCHA Sudan… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-sudan-darfur-locality-points-sudan-e96777fc.aime_amc_olym_with_knowledge_points_fixkvasir-points-v1easyr1-10k-hard-qwen7b-easy-gta1-4MP-no-pixmo-points
easyr1-10k-hard-qwen7b-easy-gta1-4MP-no-pixmo-points
This dataset was generated using the EasyR1 grounding dataset pipeline.
Generation Details
Generated on: 2025-08-23 16:05:22 UTC
Script: push_easyr1_to_hf.py
Data directory: /lustre/fsw/portfolios/nvr/users/aawadalla/LLaMA-Factory/data
Parameters Used
Maximum samples: 10000
Image resize (max megapixels): 4.0 MP
Minimum native image resolution: 0.0 MP
Prompt format: gta1_with_resolution
Output format:… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-cua-dev/easyr1-10k-hard-qwen7b-easy-gta1-4MP-no-pixmo-points.NDVI_sample_field_by_points_2022_2025{
"parquet_path": "./data/processed/ndvi/ingested=2025-10-02/ndvi.parquet",
"crs_set": [
"EPSG:32633"
],
"n_rows": 55818,
"data_min_date": "2022-01-02",
"data_max_date": "2025-09-22",
"etl_params": {
"bbox": [
17.63740289082994,
46.03623195663827,
17.63845772437403,
46.03747905279376
],
"start": "2022-01-01",
"end": "2025-09-30",
"cloud_lt": 20,
"limit": 1000
}
}
pixmo-points-filtered-below10trafic-routier-points-de-comptage-departement-du-loiret-2024
Trafic routier - Points de comptage - Département du Loiret - 2024
Source
Source officielle : https://www.data.gouv.fr/datasets/trafic-routier-points-de-comptage-departement-du-loiret-2024
Identifiant du jeu de données data.gouv.fr : 68f9746546f42706c79cb4c9
Slug data.gouv.fr : trafic-routier-points-de-comptage-departement-du-loiret-2024
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/trafic-routier-points-de-comptage-departement-du-loiret-2024.africa-sierra-leone-water-points
Sierra Leone Water Points | Africa (original)
Size category: 10K<n<100K - Formats: parquet - Sector: humanitarian_development - 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 Covers
Public datasets help analysts inspect… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-sierra-leone-water-points.