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tog/dolphin_5k_test

published by @tog

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
906
Last 30 days
20
Likes
-
Size
4.7 MB
Created on HF
2023-10-06
Age
3 years ago

Description

Tiny Dolphin 🐬

see https://erichartford.com/dolphin

Dataset details

This dataset is an extract of ~1 million of FLANv2 augmented with GPT-4 completions (flan1m-alpaca-uncensored.jsonl). It is derived from this dataset

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dataset = load_dataset("tog/dolphin_5k_test)

This dataset is licensed apache-2.0 for commercial or non-commercial use.

Tags

task_categories:text-generationlanguage:enlicense:apache-2.0size_categories:1K<n<10Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face

language:

  • en
    license: apache-2.0
    task_categories:
  • text-generation
    dataset_info:
    features:
    • name: instruction
      dtype: string
    • name: input
      dtype: string
    • name: output
      dtype: string
      splits:
    • name: train
      num_bytes: 8726321.400179625
      num_examples: 5000
      download_size: 4973800
      dataset_size: 8726321.400179625
      configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*

Tiny Dolphin 🐬

see https://erichartford.com/dolphin

Dataset details

This dataset is an extract of ~1 million of FLANv2 augmented with GPT-4 completions (flan1m-alpaca-uncensored.jsonl). It is derived from this dataset

Loading

dataset = load_dataset("tog/dolphin_5k_test)

This dataset is licensed apache-2.0 for commercial or non-commercial use.

README history 4 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. 2023-10-06Upload README.md with huggingface_hub3b33187869 B
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  2. 2023-10-06Upload data/train-00000-of-00001-23a701150ff7e19e.parquet with huggingface_hub4fec8c1507 B
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  3. 2023-10-06Update README.md8941966507 B
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  4. 2023-10-06initial commit1da602b28 B
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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 1 thread · 1 open · 2 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2023-10-07Notifications from parquet-converteropen2 💬#1
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Read further

Community best practices (data hygiene)
Rules for what belongs in a training mix and what does not.
M6 - Uncensored fine-tuning
DPO/ORPO from scratch. The Hartford dolphin lineage.
The politics of dataset curation
The curatorial choices behind Dolphin, Wizard, and the uncensored tradition.
Non-English abliteration communities
How non-English producers assemble uncensored fine-tuning corpora.

Metadata

License
apache-2.0

Repository

DIR data FILE .gitattributes FILE README.md

File contents live on Hugging Face. Click a file or folder to open it there.

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("tog/dolphin_5k_test")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="tog/dolphin_5k_test", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/tog/dolphin_5k_test
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