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rombodawg/MegaCodeTraining

published by @rombodawg

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
1.4K
Last 30 days
32
Likes
14
Size
372.7 MB
Created on HF
2023-08-04
Age
3 years ago

Description

VERSION 3 IS RELEASED DOWNLOAD HERE:

https://huggingface.co/datasets/rombodawg/LosslessMegaCodeTrainingV3_2.2m_Evol

This is a uncensored mega combined dataset using both razent/wizardlm-code-evol-32k and nickrosh/Evol-Instruct-Code-80k-v1

In this version many lines of instructions were removed in part of a uncensoring process.

The Rombo's format.rar file is so you can use the training data in oobagooba text generation webui. Simply unzip it, and use it as a json file.

All links bellow… See the full description on the dataset page: https://huggingface.co/datasets/rombodawg/MegaCodeTraining.

Tags

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

README current version from Hugging Face

license: other

VERSION 3 IS RELEASED DOWNLOAD HERE:

This is a uncensored mega combined dataset using both razent/wizardlm-code-evol-32k and nickrosh/Evol-Instruct-Code-80k-v1

In this version many lines of instructions were removed in part of a uncensoring process.

The Rombo's format.rar file is so you can use the training data in oobagooba text generation webui. Simply unzip it, and use it as a json file.

All links bellow

https://huggingface.co/datasets/razent/wizardlm-code-evol-32k
(This repository was deleted, however you can find each individual data file from this repository
re-uploaded as their own individual repositories on my huggingface account)

https://huggingface.co/datasets/nickrosh/Evol-Instruct-Code-80k-v1/tree/main

Thank you to the contributors of the datasets. I do not own them, please give credit where credit is due

README history 6 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. 2023-08-16Update README.mddf822f51.1 KB
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  2. 2023-08-07Update README.md3ccf30e826 B
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  3. 2023-08-05Upload 2XUNCENSORED__RombosCodeTraining188kUSER_ASSIS.json52bec01825 B
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  4. 2023-08-05Update README.md20ebb51825 B
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  5. 2023-08-05Update README.md4c758ef953 B
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  6. 2023-08-05initial commit1adbf1d23 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__RombosCodeTraining188kUSER_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/MegaCodeTraining")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="rombodawg/MegaCodeTraining", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/rombodawg/MegaCodeTraining
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