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rombodawg/Everything_Instruct_Multilingual

published by @rombodawg

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
2.2K
Last 30 days
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Likes
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Size
11.1 GB
Created on HF
2024-10-08
Age
2 years ago

Description

Everything Instruct (Multilingual Edition)

Everything you need... all in one place 💘

Everything instruct (Multilingual Edition) is a massive alpaca instruct formatted dataset consisting of a wide variety of topics meant to bring LLM's to the next level in open source AI.

Note: This dataset is fully uncensored (No model will refuse any request trained on this dataset unless otherwise aligned)

Note2: This version of the dataset supports the following languages:

English

Russian… See the full description on the dataset page: https://huggingface.co/datasets/rombodawg/Everything_Instruct_Multilingual.

Tags

language:enlanguage:rulanguage:zhlanguage:kolanguage:urlanguage:lalanguage:arlanguage:delanguage:eslanguage:frlanguage:hilanguage:itlanguage:jalanguage:nllanguage:ptlicense:apache-2.0size_categories:1M<n<10Mformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:usNum_Rows = 7,799,967Max_length = 8180

README current version from Hugging Face

license: apache-2.0
language:

  • en
  • ru
  • zh
  • ko
  • ur
  • la
  • ar
  • de
  • es
  • fr
  • hi
  • it
  • ja
  • nl
  • pt
    tags:
  • Num_Rows = 7,799,967
  • Max_length = 8180

Everything Instruct (Multilingual Edition)

Everything you need... all in one place 💘

image/jpeg

Everything instruct (Multilingual Edition) is a massive alpaca instruct formatted dataset consisting of a wide variety of topics meant to bring LLM's to the next level in open source AI.

Note: This dataset is fully uncensored (No model will refuse any request trained on this dataset unless otherwise aligned)

Note2: This version of the dataset supports the following languages:

  • English
  • Russian
  • Chinese
  • Korean
  • Urdu
  • Latin
  • Arabic
  • German
  • Spanish
  • French
  • Hindi
  • Italian
  • Japanese
  • Dutch
  • Portuguese

The data in this dataset features:

Science: 12,580 rows

Social media: 18,405 rows

General Knowledge: 906,346 rows

Multi-lingual: 2,937,785 rows

Cooking: 20,763 rows

Writing: 414,646 rows

Medicine: 36,738 rows

History: 10,178 rows

Law: 90,394 rows

Role-Play: 433,205 rows

News: 124,542 rows

Coding: 2,872,975 rows

Math: 262,039 rows

Function calling: 112,960 rows

General Instruct: 998,854 rows

Here are some statistical graphics to show off the data.

image/png

image/png

image/png

I hope you finetune some amazing models that break the barrier between open and closed source with my data.

The data in this data set is from the following sources:

Science:

  • antiven0m/physical-reasoning-dpoScience
  • LawalAfeez/science-dataset

Social media:

  • Kyle1668/AG-Tweets
  • euclaise/reddit-instruct-curated

General Knowledge:

  • NousResearch/CharacterCodex_Characters
  • jstet/quotes-500k_Famous_Quotes
  • FronkonGames/steam-games-dataset_Video_Games
  • totuta_youtube_subs_howto100M_HowTo

Multi-lingual:

  • Amani27/massive_translation_dataset
  • udmurtNLP/udmurt-russian-english-labse
  • grosenthal/latin_english
  • msarmi9/korean-english-multitarget-ted-talks-task
  • HaiderSultanArc/MT-Urdu-English_Translate
  • Garsa3112/ChineseEnglishTranslationDataset

Cooking:

  • andrewsiah/se_cooking_preference_sft
  • Hieu-Phamkaggle/food_recipes

Writing:

  • shahules786/PoetryFoundationData
  • euclaise/writingprompts
  • qwedsacf/ivypanda-essaysEssay

Medicine:

  • keivalya/MedQuad-MedicalQnADataset
  • nuvocare/MSD

History:

  • ambrosfitz10k/history_data_v4

Law:

  • dzunggg/legal-qa-v1

Role-Play:

  • roleplay4/fun_CoupleRP
  • Undi95andrijdavid/roleplay-conversation-sharegpt

News:

  • RealTimeData/bbc_news_alltime

Coding: (rombodawg/code_bagel)

  • layoric/tiny-codes-alpaca
  • glaiveai/glaive-code-assistant-v3
  • ajibawa-2023/Code-290k-ShareGPT
  • chargoddard/commitpack-ft-instruct-rated
  • iamtarun/code_instructions_120k_alpaca
  • ise-uiuc/Magicoder-Evol-Instruct-110K
  • cognitivecomputations/dolphin-coder
  • nickrosh/Evol-Instruct-Code-80k-v1
  • coseal/CodeUltraFeedback_binarized
  • CyberNative/Code_Vulnerability_Security_DPO

Math: (rombodawg/code_bagel)

  • TIGER-Lab/MathInstruct

Function calling: (rombodawg/code_bagel)

  • glaiveai/glaive-function-calling-v2

General Instruct: (rombodawg/OpenHermes-2.5-Uncensored)

  • teknium/OpenHermes-2.5

README history 3 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. 2024-10-08Upload Everything_Instruct_Multilingual.jsoncb2f3763.8 KB
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  2. 2024-10-08Update README.mdbe3d5a03.8 KB
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  3. 2024-10-08initial commit9bdea0031 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 2 threads · 1 open · 3 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. 2024-10-29Please add `source` in datasetclosed2 💬#2
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  2. 2024-10-15add language metadataopen1 💬#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

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