datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
databricks__dolly-v2-7b-details
Dataset Card for Evaluation run of databricks/dolly-v2-7b
Dataset automatically created during the evaluation run of model databricks/dolly-v2-7b
The dataset is composed of 44 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 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 latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/databricks__dolly-v2-7b-details.databricks__dolly-v2-12b-details
Dataset Card for Evaluation run of databricks/dolly-v2-12b
Dataset automatically created during the evaluation run of model databricks/dolly-v2-12b
The dataset is composed of 44 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 latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/databricks__dolly-v2-12b-details.databricks__dolly-v1-6b-details
Dataset Card for Evaluation run of databricks/dolly-v1-6b
Dataset automatically created during the evaluation run of model databricks/dolly-v1-6b
The dataset is composed of 44 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 latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/databricks__dolly-v1-6b-details.databricks__dolly-v2-3b-details
Dataset Card for Evaluation run of databricks/dolly-v2-3b
Dataset automatically created during the evaluation run of model databricks/dolly-v2-3b
The dataset is composed of 44 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 latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/databricks__dolly-v2-3b-details.rationale-databricks-dolly-cqa
Dataset Overview
Filtered and annotated version of the closed-question answering part (~1.5k datapoints) of the Databricks Dolly Dataset intended for the task of rationale extraction.
Citation
@article{pirenne2024exploration,
title={Exploration of Closed-Domain Question Answering Explainability Methods With a Sentence-Level Rationale Dataset},
author={Pirenne, Lize and Mokeddem, Samy and Ernst, Damien and Louppe, Gilles},
year={2024}
}… See the full description on the dataset page: https://huggingface.co/datasets/Inversta/rationale-databricks-dolly-cqa.dolly-llama-qa
Dataset Card for dolly-llama-qa
This dataset has been created with dataformer.
Dataset Details
Dataset Description
The dolly-llama-qa dataset is a synthetic QA pair dataset created using the context from databricks-dolly-15k. We used Meta-Llama-3-8B-Instruct and Meta-Llama-3.1-8B-Instruct models for the generation and evolution part. Openai's gpt-4o was used for evaluating the refined questions and refined answers.
Dataset Columns
context:… See the full description on the dataset page: https://huggingface.co/datasets/dataformer/dolly-llama-qa.SPRI-SFT-dolly
Dataset Card for SPRI-SFT-dolly (ICML 2025)
Paper: SPRI: Aligning Large Language Models with Context-Situated Principles (Published in ICML 2025)
Authors: Hongli Zhan, Muneeza Azmat, Raya Horesh, Junyi Jessy Li, Mikhail Yurochkin
Shared by: Hongli Zhan
Arxiv Link: arxiv.org/abs/2502.03397
Citation
If you used our dataset, please cite our paper:
@inproceedings{zhan2025spri,
title = {SPRI: Aligning Large Language Models with Context-Situated Principles},
author… See the full description on the dataset page: https://huggingface.co/datasets/hongli-zhan/SPRI-SFT-dolly.