datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
dothanhvinh2006dothuytien1995dothanhson2000dothithu1996dothiminh2002dothilan2005dotruongan1996dothithu1999msmarco-distilbert-margin-mse-mean-dot-v1
MS MARCO with hard negatives from distilbert-margin-mse-mean-dot-v1
MS MARCO is a large scale information retrieval corpus that was created based on real user search queries using the Bing search engine.
For each query and gold positive passage, the 50 most similar paragraphs were mined using 13 different models. The resulting data can be used to train Sentence Transformer models.
Related Datasets
These are the datasets generated using the 13 different models:… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/msmarco-distilbert-margin-mse-mean-dot-v1.betty-dota2-canonical-v1kl3m-data-dotgov-stats.bls.gov
KL3M Data Project
Note: This page provides general information about the KL3M Data Project. Additional details specific to this dataset will be added in future updates. For complete information, please visit the GitHub repository or refer to the KL3M Data Project paper.
Description
This dataset is part of the ALEA Institute's KL3M Data Project, which provides copyright-clean training resources for large language models.
Dataset Details
Format: Parquet… See the full description on the dataset page: https://huggingface.co/datasets/alea-institute/kl3m-data-dotgov-stats.bls.gov.DOTAv1.0msmarco-distilbert-margin-mse-cls-dot-v1
MS MARCO with hard negatives from distilbert-margin-mse-cls-dot-v1
MS MARCO is a large scale information retrieval corpus that was created based on real user search queries using the Bing search engine.
For each query and gold positive passage, the 50 most similar paragraphs were mined using 13 different models. The resulting data can be used to train Sentence Transformer models.
Related Datasets
These are the datasets generated using the 13 different models:… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/msmarco-distilbert-margin-mse-cls-dot-v1.dot-distance-area
Dot Distance / Area over Rich Backgrounds
Cross-image spatial-aggregation data used in "Stateful Visual Encoders for
Vision-Language Models" (the Cross-image Spatial Aggregation task). A red dot
is overlaid on each of 2–5 screenshots (AgentNet backgrounds, downsampled to
384×216), and the model estimates a normalized geometric quantity across the
images. Four sub-tasks:
Sub-task dir
Images / example
Quantity
dot_distance/
2
normalized Euclidean distance… See the full description on the dataset page: https://huggingface.co/datasets/zwcolin/dot-distance-area.kl3m-data-dotgov-www.fsis.usda.gov
KL3M Data Project
Note: This page provides general information about the KL3M Data Project. Additional details specific to this dataset will be added in future updates. For complete information, please visit the GitHub repository or refer to the KL3M Data Project paper.
Description
This dataset is part of the ALEA Institute's KL3M Data Project, which provides copyright-clean training resources for large language models.
Dataset Details
Format: Parquet… See the full description on the dataset page: https://huggingface.co/datasets/alea-institute/kl3m-data-dotgov-www.fsis.usda.gov.EnterpriseRAG-Bench
EnterpriseRAG-Bench
A benchmark dataset of 500,000+ documents and 500 questions for evaluating RAG systems on realistic enterprise data.
See the latest leaderboard rankings. The paper is available on arXiv. For code, methodology, and evaluation tools, see the GitHub repository.
Overview
Existing RAG and IR datasets focus on publicly accessible document sets (Bing searches, Stack Overflow, etc.). EnterpriseRAG-Bench provides the first publicly accessible dataset… See the full description on the dataset page: https://huggingface.co/datasets/onyx-dot-app/EnterpriseRAG-Bench.betty-dota2-canonical-v1
Betty Dota 2 Canonical Dataset
Enriched version of the Dota 2 match data.
Created during backfill process.
betty-dota2
Betty Dota 2 — Decision Context Dataset
Overview
9,385 professional Dota 2 matches parsed from replay files (.dem) into a rich, per-second decision context: hero states, ability cooldowns, building HP, combat events, modifiers, ward placements, and objectives.
Built to train Transformer and RL models that understand the game state at each moment in time.
Dataset Structure
matches.parquet — 9,385 rows
One row per match. Match metadata, STRATZ player… See the full description on the dataset page: https://huggingface.co/datasets/wolframko/betty-dota2.dot3d
Lighting-Consistent Object Transfer Across Radiance Fields — 3D Scenes Dataset
This dataset accompanies the paper Lighting-Consistent Object Transfer Across Radiance Fields (Eurographics Symposium on Rendering 2026).
Paper: https://inria.hal.science/hal-05657202v1Code: github.com/graphdeco-inria/dot3dModel weights: nviolante/dot3d
Dataset structure
dot3d_data/
├── data_3d/
│ ├── real/insertions/ # 7 real-world insertion scenes
│ └── synthetic/
│… See the full description on the dataset page: https://huggingface.co/datasets/nviolante/dot3d.dotaDOTA dataset collection.
Image Source and Usage License
The DOTA images are collected from the Google Earth, GF-2 and JL-1 satellite provided by the China Centre for Resources Satellite Data and Application, and aerial images provided by CycloMedia B.V. DOTA consists of RGB images and grayscale images. The RGB images are from Google Earth and CycloMedia, while the grayscale images are from the panchromatic band of GF-2 and JL-1 satellite images. All the images are stored in 'png'… See the full description on the dataset page: https://huggingface.co/datasets/isaaccorley/dota.betty-dota2-raw-v2
Betty Dota 2 Raw Dataset v2
Lossless delta-encoded extraction of Dota 2 professional match replays.
Structure
betty/
├── README.md — this file
├── replays/ — original .dem.bz2 replay files (symlink)
├── raw/{match_id}/ — parsed data per match
│ ├── entities.parquet — entity property deltas (all 200+ entity classes)
│ ├── entity_classes.parquet — class_id → class_name mapping
│ ├── property_dict.parquet — prop_id →… See the full description on the dataset page: https://huggingface.co/datasets/wolframko/betty-dota2-raw-v2.DOTA-ShipBench
Dataset layout (bundled with this repository)
dataset/
├── train/images/ # SAHI-tiled training images (1024×1024)
├── train/labels/ # YOLO-OBB labels
├── train/labelTxt/ # DOTA format (MMRotate)
├── val/images/
├── val/labels/
├── val/labelTxt/
├── dataset.yaml # Ultralytics config (path: .)
├── gt_coco_filtered.json # COCO-OBB GT for unified eval
├── hrsc2016_source_test_gt.json
├── dota_test/ # DOTA 2.0 ships-only test images… See the full description on the dataset page: https://huggingface.co/datasets/usmansaani145/DOTA-ShipBench.bybit-linear-perps-dotusdtmsmarco-psgs-distilbert-dot-v5dots.mocr-mlx-evals
dots.mocr-mlx-evals
olmOCR-bench evals of dots.mocr MLX quants.
There is directory per model with the md files extracted from the original PDFs.
Directory logs contains the output from the harness run.
DOTAv2DOTA v2 Dataset with OBB, specifically the version from the Ultralytics docs
Website
Full License
Here reproduced from the website webpage
License for Academic Non-Commercial Use Only
This DOTA dataset is made available under the following terms:
The Google Earth images in this dataset are subject to Google Earth's terms of use, which must be adhered to.
The GF-2 and JL-1 satellite images are provided by the China Centre for Resources Satellite Data and Application. The… See the full description on the dataset page: https://huggingface.co/datasets/satyamshorrf/DOTAv2.csharp-dotnet-cpt-v0
csharp-dotnet-cpt-v0
A reproducible C# / .NET continued-pretraining (CPT) corpus for Qwen2.5-Coder-1.5B.
HF: https://huggingface.co/datasets/Nottybro/csharp-dotnet-cpt-v0 (private)
Total unique tokens: 695,288,168 (Qwen2.5-Coder-1.5B tokenizer)
Files: 681,426 | Repositories: 68,869
Format: Zstandard-compressed Parquet, schema below.
See DATASET_CARD.md for sources, license policy, filtering, limitations.
See reports/summary.md for full statistics.
dota-backgrounddota1kl3m-data-dotgov-www.cdc.gov
KL3M Data Project
Note: This page provides general information about the KL3M Data Project. Additional details specific to this dataset will be added in future updates. For complete information, please visit the GitHub repository or refer to the KL3M Data Project paper.
Description
This dataset is part of the ALEA Institute's KL3M Data Project, which provides copyright-clean training resources for large language models.
Dataset Details
Format:… See the full description on the dataset page: https://huggingface.co/datasets/alea-institute/kl3m-data-dotgov-www.cdc.gov.