datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
JL-ActionBoundary-1K-v1.0.0
JL-ActionBoundary-1K v1.0.0
Counterfactual Ask–Inspect–Act–Defer supervision for coding agents
JL-ActionBoundary-1K teaches a coding agent to choose the correct next policy before changing code:
ACT: the task is sufficiently specified for bounded repository work;
INSPECT: missing information can be recovered from the repository;
ASK: a material product decision belongs to the user;
DEFER: live execution authority or rollback ownership is missing.… See the full description on the dataset page: https://huggingface.co/datasets/jumplander/JL-ActionBoundary-1K-v1.0.0.M3LLM-data-v1.0.0
M3LLM Data
Data for M³LLM training and evaluation on biomedical instruction-following tasks derived from PubMed Central (PMC) articles. This repository is the versioned v1.0.0 data release.
Contents
Collection
Split
Records
Description
PMC-MI supervised instruction corpus
train
224,401
Six instruction formats after partitioning and release filtering
PMC-MI policy-refinement partition
train
10,355
Policy-refinement instances for Stage II after release… See the full description on the dataset page: https://huggingface.co/datasets/Yale-BIDS-Chen/M3LLM-data-v1.0.0.PocketDoc__Dans-SakuraKaze-V1.0.0-12b-details
Dataset Card for Evaluation run of PocketDoc/Dans-SakuraKaze-V1.0.0-12b
Dataset automatically created during the evaluation run of model PocketDoc/Dans-SakuraKaze-V1.0.0-12b
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/PocketDoc__Dans-SakuraKaze-V1.0.0-12b-details.PocketDoc__Dans-PersonalityEngine-v1.0.0-8b-details
Dataset Card for Evaluation run of PocketDoc/Dans-PersonalityEngine-v1.0.0-8b
Dataset automatically created during the evaluation run of model PocketDoc/Dans-PersonalityEngine-v1.0.0-8b
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/PocketDoc__Dans-PersonalityEngine-v1.0.0-8b-details.dataset_cross_encoder_geotechnical_report_v1.0.0
Geotechnical Reports
meditsolutions__Llama-3.2-SUN-2.4B-v1.0.0-details
Dataset Card for Evaluation run of meditsolutions/Llama-3.2-SUN-2.4B-v1.0.0
Dataset automatically created during the evaluation run of model meditsolutions/Llama-3.2-SUN-2.4B-v1.0.0
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 4 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/meditsolutions__Llama-3.2-SUN-2.4B-v1.0.0-details.chatgenerator-conversations-v1.0.0
Chat Generator Chats
This dataset contains a bunch of conversations generated using Llama3.2:3b. Each
conversation is seeded with a topic (a randomly chosen title of an English
wikipedia page), then agents take it in turn conversing about the subject.
A small effort has been made to remove junk, but I'm sure there's still plenty
in there.
The code for generating these conversations can be found here:
https://git@github.com/mattkjames7/chatgenerator.git