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jtatman/orca_minis_uncensored_squad_format

published by @jtatman

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
835
Last 30 days
21
Likes
1
Size
57.5 MB
Created on HF
2023-09-04
Age
3 years ago

Description

Dataset Card for "orca_minis_uncensored_squad_format"

This dataset is a part of a continued series providing interestingly formatted existing data from unrelated datasets for question/answering model use.

Alternately it can provide a common format that could be converted to something else easily using available scripts and utilities fairly easily.

This is a work in progress and is changing every few days currently. Please refrain from using it for anything… See the full description on the dataset page: https://huggingface.co/datasets/jtatman/orca_minis_uncensored_squad_format.

Tags

task_categories:question-answeringlanguage:enlicense:mitsize_categories:100K<n<1Mformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:ussquadorcasubsetrefactoruncensoredqaquestions

README current version from Hugging Face


dataset_info:
features:

  • name: id
    dtype: string
  • name: title
    dtype: string
  • name: context
    dtype: string
  • name: question
    dtype: string
  • name: answers
    struct:
    • name: answer_start
      dtype: int64
    • name: text
      dtype: string
      splits:
  • name: train
    num_bytes: 145821574
    num_examples: 104179
    download_size: 60327229
    dataset_size: 145821574
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*
      license: mit
      task_categories:
  • question-answering
    language:
  • en
    tags:
  • squad
  • orca
  • subset
  • refactor
  • uncensored
  • qa
  • questions
    pretty_name: uncensored_orca_subset_squad
    size_categories:
  • 10K<n<100K

Dataset Card for "orca_minis_uncensored_squad_format"

This dataset is a part of a continued series providing interestingly formatted existing data from unrelated datasets for question/answering model use.

Alternately it can provide a common format that could be converted to something else easily using available scripts and utilities fairly easily.

This is a work in progress and is changing every few days currently. Please refrain from using it for anything, especially seriously, unless a warning or example of atrocities are needed.

Original Dataset

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. 2023-09-06updated second554c5e61.3 KB
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  2. 2023-09-06initial updatee37f16c1.5 KB
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  3. 2023-09-04Upload README.md with huggingface_hub4725cdb685 B
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  4. 2023-09-04Upload data/train-00000-of-00001-aadacdf726c6bd83.parquet with huggingface_hub217beac0 B
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  5. 2023-09-04initial commit32aae220 B
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Metadata

License
mit

Repository

Download the dataset

0

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("jtatman/orca_minis_uncensored_squad_format")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="jtatman/orca_minis_uncensored_squad_format", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/jtatman/orca_minis_uncensored_squad_format
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