datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CoopHumanEvalOpenMLE-SFT-Traces
OpenMLE-SFT-Traces
📄 Paper
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🌐 Project
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💻 Code
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🤗 Models
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🧩 Tasks
OpenMLE-SFT-Traces contains the supervised fine-tuning trajectories used in the
OpenMLE project. It accompanies the paper Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering and the
OpenRSI code release.
Dataset summary
Item
Value
Trajectories
26,259
Task… See the full description on the dataset page: https://huggingface.co/datasets/FrontisAI/OpenMLE-SFT-Traces.BFCL-V4-Parallel-Native
BFCL V4 Parallel Native
Native BFCL v4 single-turn parallel function-calling rows for decentralized multi-agent collaboration.
Source data comes from the official Berkeley Function Calling Leaderboard v4 data and possible-answer files.
Fields
id
official_category
task_type
user_prompt
function
ground_truth
Categories
live_parallel
live_parallel_multiple
parallel
parallel_multiple
Counts
train: 352 rows
eval: 88 rows
total: 440… See the full description on the dataset page: https://huggingface.co/datasets/OpenMLRL/BFCL-V4-Parallel-Native.BFCL-V4-Parallel-Multi-Turn
BFCL V4 Parallel Multi-Turn
Flattened current-turn rows from BFCL v4 multi-turn trajectories for decentralized multi-agent function-calling experiments.
Source data comes from the official Berkeley Function Calling Leaderboard v4 data and possible-answer files.
Fields
id
official_category
task_type
user_prompt
function
ground_truth
turn_index
Categories
multi_turn_base_step
multi_turn_long_context_step
multi_turn_miss_func_step… See the full description on the dataset page: https://huggingface.co/datasets/OpenMLRL/BFCL-V4-Parallel-Multi-Turn.OpenMLPerf
Preparing OpenMLPerf dataset
To process the semi-raw MLPerf data into the OpenMLPerf dataset, run the following command:
# Untar raw files
bzip2 -d semi-raw-mlperf-data.tar.bz2
tar xvf semi-raw-mlperf-data.tar
# Create a virtual environment
python -m venv .venv
# Activate the virtual environment
source .venv/bin/activate
# Install the required packages
pip install -r requirements.txt
# Run the processing script
python process.py
The processed dataset will be saved both as… See the full description on the dataset page: https://huggingface.co/datasets/ctuning/OpenMLPerf.arXiv_abstract
arXiv Abstract
This dataset is based on the arXiv scientific papers and is used for the text expansion task. (Download raw data here).
I processed the raw data for the article expansion task with extract_arXiv_abstract.py. The processed dataset only contains the article ID and abstract fields, and the abstract length should be 100-300 tokens. The JSON objects are in the following format:
{
'article_id': str,
'abstract_text': List[str],
'token_count': int
}
OpenMLPerf
Preparing OpenMLPerf dataset
To process the semi-raw MLPerf data into the OpenMLPerf dataset, run the following command:
# Untar raw files
bzip2 -d semi-raw-mlperf-data.tar.bz2
tar xvf semi-raw-mlperf-data.tar
# Create a virtual environment
python -m venv .venv
# Activate the virtual environment
source .venv/bin/activate
# Install the required packages
pip install -r requirements.txt
# Run the processing script
python process.py
The processed dataset will be saved both as… See the full description on the dataset page: https://huggingface.co/datasets/gfursin/OpenMLPerf.ted_2025_08_sample
EU Public Procurement — August 2025 (Enriched CSV)
This dataset contains all public procurement notices from July 2025,parsed and enriched from the European Union's TED (Tenders Electronic Daily).
The full dataset (200,000+ rows) is available for purchase here: Full Dataset on Gumroad
Free Sample vs Full Dataset
Feature
Free Sample (this repo)
Full Dataset (Gumroad)
Rows
100
200,000+
File size
~50 KB
~120 MB+
Format
CSV (UTF-8)
CSV (UTF-8)
Columns
14… See the full description on the dataset page: https://huggingface.co/datasets/OpenMLDatasets/ted_2025_08_sample.openmlted_2025_07_sample
EU Public Procurement — July 2025 (Enriched CSV)
This dataset contains all public procurement notices from July 2025,parsed and enriched from the European Union's TED (Tenders Electronic Daily).
The full dataset (200,000+ rows) is available for purchase here: Full Dataset on Gumroad
Free Sample vs Full Dataset
Feature
Free Sample (this repo)
Full Dataset (Gumroad)
Rows
100
260,000+
File size
~50 KB
~150 MB+
Format
CSV (UTF-8)
CSV (UTF-8)
Columns
14… See the full description on the dataset page: https://huggingface.co/datasets/OpenMLDatasets/ted_2025_07_sample.openml-eval-qwen3-4b-instructopenml-eval-qwen3-4b-instruct-evalmodalopenml-eval-gpt5-nano-evalmodalopenml-eval-qwen3-4b-instruct_shard0of16openml-verlopenml-eval-qwen3-4b-instruct_shard0of3openml-eval-qwen3-4b-instruct_shard2of3openml-eval-qwen3-4b-instruct_shard1of3openml-eval-gpt5-nanoopenml-eval-qwen3-next-80bopenml-tinkercookbookOpenMLPerf