README.md

---
language:
- en
license: cc-by-nc-4.0
size_categories:
- 100K<n<1M
task_categories:
- conversational
- text-generation
dataset_info:
- config_name: default
  features:
  - name: username
    dtype: string
  - name: char_name
    dtype: string
  - name: bio
    dtype: string
  - name: context
    list:
    - name: text
      dtype: string
    - name: username
      dtype: string
    - name: char_name
      dtype: string
  - name: reply
    dtype: string
  - name: has_nameless
    dtype: bool
  - name: char_confidence
    dtype: float64
  splits:
  - name: train
    num_bytes: 1921588254
    num_examples: 140469
  download_size: 764073630
  dataset_size: 1921588254
- config_name: grammar_filtered
  features:
  - name: username
    dtype: string
  - name: char_name
    dtype: string
  - name: bio
    dtype: string
  - name: context
    list:
    - name: char_name
      dtype: string
    - name: text
      dtype: string
    - name: username
      dtype: string
  - name: reply
    dtype: string
  - name: char_confidence
    dtype: float64
  splits:
  - name: train
    num_bytes: 371438765
    num_examples: 27053
  download_size: 166606326
  dataset_size: 371438765
- config_name: high_confidence
  features:
  - name: username
    dtype: string
  - name: char_name
    dtype: string
  - name: bio
    dtype: string
  - name: context
    list:
    - name: text
      dtype: string
    - name: username
      dtype: string
    - name: char_name
      dtype: string
  - name: reply
    dtype: string
  - name: has_nameless
    dtype: bool
  - name: char_confidence
    dtype: float64
  splits:
  - name: train
    num_bytes: 949419370.7676569
    num_examples: 69403
  download_size: 386317057
  dataset_size: 949419370.7676569
- config_name: pruned
  features:
  - name: username
    dtype: string
  - name: char_name
    dtype: string
  - name: bio
    dtype: string
  - name: context
    list:
    - name: text
      dtype: string
    - name: username
      dtype: string
    - name: char_name
      dtype: string
  - name: reply
    dtype: string
  - name: has_nameless
    dtype: bool
  - name: char_confidence
    dtype: float64
  splits:
  - name: train
    num_bytes: 782484734.2032762
    num_examples: 57200
  download_size: 326987882
  dataset_size: 782484734.2032762
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
- config_name: grammar_filtered
  data_files:
  - split: train
    path: grammar_filtered/train-*
- config_name: high_confidence
  data_files:
  - split: train
    path: high_confidence/train-*
- config_name: pruned
  data_files:
  - split: train
    path: pruned/train-*
tags:
- roleplay
- not-for-all-audiences
---

Data scraped from [roleplayerguild](https://www.roleplayerguild.com/) and parsed into prompts with a conversation history and associated character bio. Thanks to an anonymous internet stranger for the original scrape.

As usernames can be associated with multiple character biographies, assignment of characters is a little fuzzy. The `char_confidence` feature reflects how likely this assignment is to be correct. Not all posts in the conversation history necessarily have an associated character name. The column `has_nameless` reflects this.

Each row should fit into 4096 Llama tokens, depending on your prompt format - there's built in slack of 128 tokens + 8 per message.

There are a few configurations available. I *highly* recommend not using the default configuration as it contains a lot of questionable quality data. The options, in order of increasing usefulness:
* `default` - ocean of garbage with some gems
* `high_confidence` - only entries with no nameless posts that are highly likely to be assigned a correct `char_name`/`bio`
* `pruned` - Further filtered from `high_confidence` to remove common types of junk replies
* `grammar_filtered` - run through a grammar checker to remove rows with too many mistakes

The `grammar_filtered` configuration is almost certainly what you want to be using. (Unless you want to do your own processing and filtering.)