datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pi-computer-use-sessions
Coding agent session traces for thomasmustier/pi-computer-use-sessions
This dataset contains redacted coding agent session traces collected while working on https://github.com/tmustier/pi-computer-use. The traces were exported with pi-share-hf from local pi workspaces and filtered to keep only sessions that passed deterministic redaction, secret scanning, visual review where applicable, and LLM review.
Source git repo: https://github.com/tmustier/pi-computer-use
Data… See the full description on the dataset page: https://huggingface.co/datasets/thomasmustier/pi-computer-use-sessions.task692_mmmlu_answer_generation_computer_security
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task692_mmmlu_answer_generation_computer_security
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task692_mmmlu_answer_generation_computer_security.task701_mmmlu_answer_generation_high_school_computer_science
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task701_mmmlu_answer_generation_high_school_computer_science
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task701_mmmlu_answer_generation_high_school_computer_science.computer-use-large-actions
computer-use-large-actions
9,000 instruction pairs derived from markov-ai/computer-use-large descriptions.parquet (not the raw 12,300 hours of video).
Each row is a 10-second segment whose LLM description is a real GUI action (NO_TASK dropped). Source license is CC-BY-4.0.
Split by software
category
examples
vscode
2,500
autocad
2,500
blender
1,000
excel
1,000
photoshop
1,000
salesforce
1,000
VS Code and AutoCAD are oversampled for… See the full description on the dataset page: https://huggingface.co/datasets/egygi/computer-use-large-actions.IndustryCorpus_computer[中文主页]
Industry models play a crucial role in driving enterprise intelligence transformation and innovative development. High-quality industry data is key to improving the performance of large models and realizing industry applications. However, datasets currently used for industry model training generally suffer from issues such as insufficient data volume, low quality, and lack of domain expertise.
To address these problems, we constructed and applied 22 industry data processing operators to… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryCorpus_computer.task688_mmmlu_answer_generation_college_computer_science
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task688_mmmlu_answer_generation_college_computer_science
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task688_mmmlu_answer_generation_college_computer_science.