datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
synthetic-math-toolcall-deception
Synthetic Math Tool-Call Deception
200 paired multi-turn math-assistant trajectories (400 rows) for evaluating deception
detectors on mid-trajectory tool-call misreporting.
Each trajectory: a system prompt instructs the model to compute via an execute_python
tool under a stated tool-call limit, and requires every call to carry a running
call_index argument (1 for the first call, 2 for the second, …). The platform enforcing
the limit is said to only see the reported call_index… See the full description on the dataset page: https://huggingface.co/datasets/annahbanannah/synthetic-math-toolcall-deception.Synthetic-UAV-Flight-Trajectories
UAV Trajectory Dataset
Summary
This dataset comprises over 5000 random UAV (Unmanned Aerial Vehicle) trajectories collected over 20 hours of flight time. It is intended for training AI models such as trajectory prediction applications. The dataset is generated through an automated pipeline for the creation and preprocessing of UAV synthetic trajectories, making it ready for direct AI model training.
Data Description
The dataset features parameterized… See the full description on the dataset page: https://huggingface.co/datasets/riotu-lab/Synthetic-UAV-Flight-Trajectories.zendo-synthetic-data
Zendo Synthetic Visual Reasoning Dataset
Synthetic Zendo-style scenes with associated rules and per-scene tensor
representations. Each scene either follows ("positive", label=1) or violates
("negative", label=0) a rule that is given in natural language and as a Prolog
query.
Splits
split
scenes
train
56475
test
3344
rules total
3439
Layout
images/<split>/<batch>/<rule_id>/<scene_id>.png — rendered scene… See the full description on the dataset page: https://huggingface.co/datasets/sophia1ch/zendo-synthetic-data.laion_synthetic_filtered_large_part3laion_synthetic_filtered_large_part1laion_synthetic_filtered_large_part2synthetic_pii_finance_multilingual
Image generated by DALL-E. See prompt for more details
💼 📊 Synthetic Financial Domain Documents with PII Labels
gretelai/synthetic_pii_finance_multilingual is a dataset of full length synthetic financial documents containing Personally Identifiable Information (PII), generated using Gretel Navigator and released under Apache 2.0.
This dataset is designed to assist with the following use cases:
🏷️ Training NER (Named Entity Recognition) models to detect and label PII in… See the full description on the dataset page: https://huggingface.co/datasets/gretelai/synthetic_pii_finance_multilingual.synthetic-bathroom-dataset-for-robotic-perception
Synthetic Bathroom Dataset for Robotic Perception
Generated by datapack-import.ts
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are uploaded as downloaded unless optional PNG recompression is enabled by the… See the full description on the dataset page: https://huggingface.co/datasets/physicl/synthetic-bathroom-dataset-for-robotic-perception.synthetic-living-room-dataset-for-robotic-perception
Synthetic Living Room Dataset for Robotic Perception
Generated by datapack-import.ts
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are uploaded as downloaded unless optional PNG recompression is enabled by… See the full description on the dataset page: https://huggingface.co/datasets/physicl/synthetic-living-room-dataset-for-robotic-perception.syntheticDocQA_artificial_intelligence_test_beirBEIR version of vidore/syntheticDocQA_artificial_intelligence_test.
syntheticDocQA_energy_test_beirBEIR version of vidore/syntheticDocQA_energy_test.
syntheticDocQA_healthcare_industry_test_beirBEIR version of vidore/syntheticDocQA_healthcare_industry_test.
syntheticDocQA_government_reports_test_beirBEIR version of vidore/syntheticDocQA_government_reports_test.
laion_synthetic_filtered_large_part4syntheticDocQA_artificial_intelligence_test_beirBEIR version of vidore/syntheticDocQA_artificial_intelligence_test.
syntheticDocQA_healthcare_industry_test_beirBEIR version of vidore/syntheticDocQA_healthcare_industry_test.
synthetic-timeseries-data
cruscy data — evaluation sample
Three full days of real crypto market microstructure (Binance spot), prepared
for public evaluation: absolute prices, dates, and the instrument are withheld —
the shape of the day (tick-by-tick relative price, normalized volumes, trade
side, book imbalance) is fully preserved.
The full feed — 27+ streams (raw L2 depth, 1-second trade tape, order-book
metrics, derived features, regime labels) with SQL console, backtest runner and
MCP access for AI… See the full description on the dataset page: https://huggingface.co/datasets/GOD111111111/synthetic-timeseries-data.syntheticDocQA_government_reports_test_beirBEIR version of vidore/syntheticDocQA_government_reports_test.
syntheticDocQA_energy_test_beirBEIR version of vidore/syntheticDocQA_energy_test.
airbnb-synthetic-retrieval_beirThis is a copy of https://huggingface.co/datasets/jinaai/airbnb-synthetic-retrieval reformatted into the BEIR format. For any further information like license, please refer to the original dataset.
Disclaimer
This dataset may contain publicly available images or text data. All data is provided for research and educational purposes only. If you are the rights holder of any content and have concerns regarding intellectual property or copyright, please contact us at "support-data (at)… See the full description on the dataset page: https://huggingface.co/datasets/jinaai/airbnb-synthetic-retrieval_beir.pi-synthetic
Coding agent session traces for aaaaliou/pi-synthetic
This dataset contains redacted coding agent session traces collected while working on git@github.com:aliou/pi-synthetic.git. The traces were exported with pi-share-hf from a local pi workspace and filtered to keep only sessions that passed deterministic redaction and LLM review.
Data description
Each *.jsonl file is a redacted pi session. Sessions are stored as JSON Lines files where each line is a structured… See the full description on the dataset page: https://huggingface.co/datasets/aaaaliou/pi-synthetic.metal-python-synthetic-explanations-gpt4-graphcodeberttweet-stock-synthetic-retrieval_beirThis is a copy of https://huggingface.co/datasets/jinaai/tweet-stock-synthetic-retrieval reformatted into the BEIR format. For any further information like license, please refer to the original dataset.
Disclaimer
This dataset may contain publicly available images or text data. All data is provided for research and educational purposes only. If you are the rights holder of any content and have concerns regarding intellectual property or copyright, please contact us at "support-data… See the full description on the dataset page: https://huggingface.co/datasets/jinaai/tweet-stock-synthetic-retrieval_beir.wikipedia-multilingual-synthetic-ir-query
wikipedia-multilingual-synthetic-ir-query
This dataset contains multilingual Wikipedia-derived synthetic query-document pairs for information retrieval training.
It was created with the query-crafter-multilingual model, which generates search-like queries from Wikipedia text.
The current release contains two different retrieval settings:
short_doc: pairs of (query, short document)
long_doc: pairs of (query, long document)
These two subsets are not generated in the same way… See the full description on the dataset page: https://huggingface.co/datasets/hotchpotch/wikipedia-multilingual-synthetic-ir-query.mmlu-syntheticSYNTHETIC-2
SYNTHETIC-2
SYNTHETIC-2 is an open reasoning dataset spanning a variety of math, coding and general reasoning tasks along with reasoning traces generated in a collaborative manner. The dataset contains both high quality reasoning traces from Deepseek-R1-0528 ideally suited for SFT, as well as multiple reasoning traces from smaller models which can be used for difficulty estimation.
To read more about our data collection approach, check out our blog post.
We release the following… See the full description on the dataset page: https://huggingface.co/datasets/PrimeIntellect/SYNTHETIC-2.ccs_synthetic_filtered_largemyarm-8-synthetic-cube-to-cup-largeThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"codebase_version": "v2.0",
"robot_type": null,
"total_episodes": 874,
"total_frames": 421190,
"total_tasks": 1,
"total_videos": 1748,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:874"
},
"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/apockill/myarm-8-synthetic-cube-to-cup-large.synthetic-bn-subseqsynthetic_zeroshot_mixtral_v0.1