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rombodawg/alpaca_840k

published by @rombodawg

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
821
Last 30 days
21
Likes
6
Size
1.2 GB
Created on HF
2023-08-05
Age
3 years ago

Description

MEGACODE TRAINING VERSION 2 OUT NOW: https://huggingface.co/datasets/rombodawg/LosslessMegaCodeTrainingV2_1m_Evol_Uncensored

Version 1 Updated/Uncensored version here: https://huggingface.co/datasets/rombodawg/2XUNCENSORED_MegaCodeTraining188k

Legacy Version 1 code training here: https://huggingface.co/datasets/rombodawg/MegaCodeTraining200k

This is The non-coding evol instruct dataset

This dataset is meant for further refinement on intruction based training for ai models based on the evol… See the full description on the dataset page: https://huggingface.co/datasets/rombodawg/alpaca_840k.

Tags

license:othersize_categories:100K<n<1Mformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face

license: other

MEGACODE TRAINING VERSION 2 OUT NOW: https://huggingface.co/datasets/rombodawg/LosslessMegaCodeTrainingV2_1m_Evol_Uncensored

Version 1 Updated/Uncensored version here: https://huggingface.co/datasets/rombodawg/2XUNCENSORED_MegaCodeTraining188k

Legacy Version 1 code training here: https://huggingface.co/datasets/rombodawg/MegaCodeTraining200k

This is The non-coding evol instruct dataset

This dataset is meant for further refinement on intruction based training for ai models based on the evol instruct method.

This dataset is has gone through a second set of uncensoring filtering using my own method where alot of censored data was innitially missed.

This is the original flan1m-alpaca-uncensored.jsonl bellow:

https://huggingface.co/datasets/ehartford/dolphin/tree/main

README history 7 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. 2023-08-07Update README.md27cae27803 B
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  2. 2023-08-07Update README.md8d15aae757 B
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  3. 2023-08-07Update README.md2f522a3749 B
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  4. 2023-08-05Upload 2XUNCENSORED_alpaca_840k_Evol_USER_ASSIS.json1498ca8410 B
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  5. 2023-08-05Update README.md8fad5fd410 B
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  6. 2023-08-05Update README.md889a68f441 B
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  7. 2023-08-05initial commit4e4cb3f23 B
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Used by abliterated models none yet

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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
other

Repository

FILE .gitattributes FILE 2XUNCENSORED_alpaca_840k_Evol_USER_ASSIS.json 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("rombodawg/alpaca_840k")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="rombodawg/alpaca_840k", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/rombodawg/alpaca_840k
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