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Rardilit/Panther-dataset_v1

published by @Rardilit

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
1.1K
Last 30 days
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Likes
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Size
134.3 MB
Created on HF
2023-05-28
Age
3 years ago

Description

Dataset Details

This dataset is a modified version of Anthropic/hh-rlhf

This dataset is used in fine tuning Panther - an state of the art LLM funtuned on llama-7b pretrained model.

A very small portion i.e. 5.3% of prompts and responses were taken from this dataset to finetune and train Panther

Dataset Details

Dataset Structure

Train

Train rows : 377k

Validation

Validation rows : 20.3k

Dataset Format… See the full description on the dataset page: https://huggingface.co/datasets/Rardilit/Panther-dataset_v1.

Tags

task_categories:text-generationtask_categories:question-answeringlanguage:enlicense:othersize_categories:100K<n<1Mformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:ustext generationpanther

README current version from Hugging Face


license: other
task_categories:

  • text-generation
  • conversational
  • question-answering
  • text2text-generation
    language:
  • en
    tags:
  • text generation
  • panther
    pretty_name: Panther
    size_categories:
  • 100K<n<1M

Dataset Details

This dataset is a modified version of Anthropic/hh-rlhf

This dataset is used in fine tuning Panther - an state of the art LLM funtuned on llama-7b pretrained model.

A very small portion i.e. 5.3% of prompts and responses were taken from this dataset to finetune and train Panther

Dataset Details

Dataset Structure

Train

Train rows : 377k

Validation

Validation rows : 20.3k

Dataset Format

input : "prompt"

output : "response"

How to Use

from datasets import load_dataset

dataset = load_dataset("Rardilit/Panther-dataset_v1")

README history 5 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2023-05-29Update README.md1932cf2971 B
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  2. 2023-05-29Update README.md081ba4a854 B
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  3. 2023-05-29Update README.md5539106856 B
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  4. 2023-05-28Upload 2 filesf9544da23 B
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  5. 2023-05-28initial commit654e83423 B
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Used by abliterated models none yet

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Metadata

License
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Repository

Download the dataset

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Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("Rardilit/Panther-dataset_v1")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Rardilit/Panther-dataset_v1", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/Rardilit/Panther-dataset_v1
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