fine-tune 0 0 0

branles14/ultrachat-uncensored_full

published by @branles14

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
1.7K
Last 30 days
116
Likes
5
Size
3.8 GB
Created on HF
2023-07-19
Age
3 years ago

Description

Ultrachat-Uncensored

Ultrachat-Uncensored is a variant of the original Ultrachat dataset available at Ultrachat, where any examples where the bot's messages match the specified terms are removed. These terms can be found in filters.txt.

This process was carried out in an attempt to neutralize the bot's responses by excluding particular terms. The goal is to foster more constructive and neutral conversations with the bot.

Dataset Variants

There are two versions of… See the full description on the dataset page: https://huggingface.co/datasets/branles14/ultrachat-uncensored_full.

Tags

license:cc-by-nc-4.0size_categories:100K<n<1Mformat:jsonmodality:textlibrary:datasetslibrary:dasklibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


license: cc-by-nc-4.0

Ultrachat-Uncensored

Ultrachat-Uncensored is a variant of the original Ultrachat dataset available at Ultrachat, where any examples where the bot's messages match the specified terms are removed. These terms can be found in filters.txt.

This process was carried out in an attempt to neutralize the bot's responses by excluding particular terms. The goal is to foster more constructive and neutral conversations with the bot.

Dataset Variants

There are two versions of this dataset available:

  1. Ultrachat-Uncensored: In this version, the filter is only applied to the bot's messages.

  2. Ultrachat-Uncensored Full: In this version, the filter is applied to both human and bot messages for a more thorough filtering process.

Purpose

The idea behind removing certain terms is to create a chatbot that feels more neutral in its interactions. The intended outcome is to ensure that the bot engages in unbiased and fair dialogue, maintaining a neutral stance on controversial topics. This neutrality is expected to make conversations with the bot more enjoyable and less prone to unnecessary confrontations or misunderstandings.

Please note that while we have made an effort to filter specific terms, we recommend using the dataset responsibly, acknowledging that no filtering process can be perfect.

Contribution

Contributions to enhance this project are welcome! Feel free to open issues or submit pull requests for improving the filter or suggesting new enhancements.

Enjoy using Ultrachat-Uncensored, and we look forward to your constructive feedback and suggestions.

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. 2023-07-20Upload train_4.jsonl6c2597b1.9 KB
    Loading...
  2. 2023-07-20Upload train_3.jsonlaec0d181.9 KB
    Loading...
  3. 2023-07-20Upload train_2.jsonl7b113621.9 KB
    Loading...
  4. 2023-07-20Upload train_1.jsonld8ec6f51.9 KB
    Loading...
  5. 2023-07-20Upload train_0.jsonl7c56b201.9 KB
    Loading...
  6. 2023-07-20Update README.md12bcd791.9 KB
    Loading...
  7. 2023-07-20initial commit5ac325b30 B
    Loading...

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.

Related datasets same stage · fine-tune

Read further

Metadata

License
cc-by-nc-4.0

Repository

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("branles14/ultrachat-uncensored_full")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="branles14/ultrachat-uncensored_full", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/branles14/ultrachat-uncensored_full
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration