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mxz/CValues

published by @mxz

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

546

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Size

83.6 MB

Created on HF

2024-07-26

Age

2 years ago

README current version from Hugging Face

dataset_info:
features:

name: prompt
dtype: string
name: pos_resp
dtype: string
name: neg_resp
dtype: string
name: pos_type
dtype: string
name: neg_type
dtype: string
splits:
name: train
num_bytes: 216345313
num_examples: 116536
name: test
num_bytes: 53956271
num_examples: 29133
download_size: 87608718
dataset_size: 270301584
configs:
config_name: default
data_files:
- split: train
  path: data/train-*
- split: test
  path: data/test-*

README history 2 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.

2024-07-26Upload datasetb983d89532 B
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2024-07-26initial commitb33d7890 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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Repository

DIR data 2 files FILE .gitattributes FILE README.md

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

Download the dataset

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("mxz/CValues")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="mxz/CValues", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/mxz/CValues

Browse repository on Hugging Face ->