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noznarb/nothing

published by @noznarb

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
3.5K
Last 30 days
194
Likes
7
Size
4.3 GB
Created on HF
2023-06-15
Age
3 years ago

Description

Archive

Sorry. Thought reeducator would rehost.Archival repo, working on other things.Please uncensor your datasets.

Tags

license:unlicenseregion:us

README current version from Hugging Face

license: unlicense
viewer: false

Archive

Sorry. Thought reeducator would rehost.
Archival repo, working on other things.
Please uncensor your datasets.

README history 12 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. 2023-06-16Update README.mdfd87415375 B
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  2. 2023-06-16Update README.md0c175c0361 B
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  3. 2023-06-16Update README.md86fd01b244 B
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  4. 2023-06-16Upload 4 files3bd5401175 B
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  5. 2023-06-16Upload 4 files885f6ab175 B
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  6. 2023-06-16Upload 11 files6b3fc80175 B
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  7. 2023-06-16Update README.md14dbb3e175 B
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  8. 2023-06-16Upload 31 filesfe6802427 B
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  9. 2023-06-16Upload 6 files284253a27 B
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  10. 2023-06-16Upload 14 files07baa2c27 B
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  11. 2023-06-16Added aicg9963a7427 B
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  12. 2023-06-16initial commit8821cb027 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.

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Read further

Community best practices (architecture)
4 rules for MoE, hybrid SSM, FP8 requantization, and Gemma quirks.
The six workflow stages
What misc is doing more work than its name suggests.
Beyond English: multilingual corpora
The four language communities and their workarounds.
Non-English abliteration communities
Deep dive: huihui-ai, layer-window, slop-framing, CJK tokenizer fixes.

Metadata

License
unlicense

Repository

DIR aicg 22 files DIR bluemoon_roleplay_300k_vicuna 6 files DIR DansPileOfSets-Vicuna 31 files DIR GPTeacher-Vicuna 11 files DIR ShareGPT_Vicuna_unfiltered 14 files DIR SuperCOT-vicuna-dataset 4 files DIR Vicuna_Evol_Instruct_Cleaned 4 files 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("noznarb/nothing")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="noznarb/nothing", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/noznarb/nothing
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