| --- |
| pretty_name: Combined Roleplay Dataset |
| language: |
| - en |
| task_categories: |
| - text-generation |
| tags: |
| - dialogue |
| - creative-writing |
| - multiturn |
| - roleplay |
| - conversational |
| configs: |
| - config_name: chai_prize_reward_model |
| data_files: |
| - path: |
| - chai_prize_reward_model.jsonl.zst |
| split: train |
| - config_name: capybara |
| data_files: |
| - path: |
| - capybara.jsonl.zst |
| split: train |
| - config_name: cakrawala |
| data_files: |
| - path: |
| - cakrawala.jsonl.zst |
| split: train |
| - config_name: creative_writing |
| data_files: |
| - path: |
| - creative_writing.jsonl.zst |
| split: train |
| - config_name: empathetic_dialogues |
| data_files: |
| - path: |
| - empathetic_dialogues.jsonl.zst |
| split: train |
| - config_name: multiturn_mix_1k |
| data_files: |
| - path: |
| - multiturn_mix_1k.jsonl.zst |
| split: train |
| - config_name: multiturn_mix_10k |
| data_files: |
| - path: |
| - multiturn_mix_10k.jsonl.zst |
| split: train |
| - config_name: multiturn_mix_30k |
| data_files: |
| - path: |
| - multiturn_mix_30k.jsonl.zst |
| split: train |
| - config_name: multiturn_mix_v2_1k |
| data_files: |
| - path: |
| - multiturn_mix_v2_1k.jsonl.zst |
| split: train |
| - config_name: multiturn_mix_v2_10k |
| data_files: |
| - path: |
| - multiturn_mix_v2_10k.jsonl.zst |
| split: train |
| - config_name: multiturn_mix_v2_30k |
| data_files: |
| - path: |
| - multiturn_mix_v2_30k.jsonl.zst |
| split: train |
| - config_name: multiturn_mix_v3_1k |
| data_files: |
| - path: |
| - multiturn_mix_v3_k1000.jsonl.zst |
| split: train |
| default: true |
| - config_name: multiturn_mix_v3_10k |
| data_files: |
| - path: |
| - multiturn_mix_v3_k10000.jsonl.zst |
| split: train |
| - config_name: multiturn_mix_v3_30k |
| data_files: |
| - path: |
| - multiturn_mix_v3_k30000.jsonl.zst |
| split: train |
| - config_name: soda |
| data_files: |
| - path: |
| - soda.jsonl.zst |
| split: train |
| - config_name: samantha |
| data_files: |
| - path: |
| - guilherme34-samanthadataset-rolesformat.jsonl.zst |
| split: train |
| - config_name: dialogsum |
| data_files: |
| - path: |
| - knkarthick-dialogsum.jsonl.zst |
| split: train |
| - config_name: RPGPT_PublicDomain |
| data_files: |
| - path: |
| - practical-dreamer-RPGPT_PublicDomain.jsonl.zst |
| split: train |
| - config_name: synthetic_characters |
| data_files: |
| - path: |
| - AlekseyKorshuk-synthetic-characters.jsonl.zst |
| split: train |
| - config_name: li2017dailydialog |
| data_files: |
| - path: |
| - li2017dailydialog.jsonl.zst |
| split: train |
| - config_name: Conversational-Reasoning-Topical-Chat |
| data_files: |
| - path: |
| - Conversational-Reasoning-Topical-Chat.jsonl.zst |
| split: train |
| --- |
| |
| # Combined Roleplay Dataset |
|
|
| This dataset combines multi-turn conversations across various AI assistant interactions, creative writing scenarios, and roleplaying exchanges. It aims to improve language models' performance in interactive tasks. |
|
|
| * Multi-turn conversations with a mix of standard AI assistant interactions, creative writing prompts, and roleplays |
| * English content with a few Spanish, Portuguese, and Chinese conversations |
| * Conversations limited to 4000 tokens using the Llama 3.1 8B tokenizer (but not done yet for the newest batches) |
| * Structured format featuring alternating user and AI messages, starting with a system or user prompt and ending with an AI response |
|
|
| ## Dataset Structure |
|
|
| 1. Multiturn mix: |
| - 1K version: 1,000 conversations |
| - 10K version: 10,000 conversations |
| - 30K version: 30,000 conversations |
|
|
| 2. Source datasets: |
| - 20231206_chai_prize_reward_model_data: 18,574 lines (only keeping the lines with label = 1) |
| - Cakrawala: 13,000 lines |
| - Capybara: 15,996 lines |
| - CreativeWriting: 8,808 lines |
| - Empathetic_dialogues: 19,531 lines |
| - SODA: 1,155,128 lines |
| - Samantha: 5,868 lines |
| - DIALOGSum: 10,883 lines |
| - RPGPT_PublicDomain: 3,032 lines |
| - Synthetic-characters: 17,668 lines |
| - li2017dailydialog: 13,118 lines (all splits merged) |
| - Conversational-Reasoning-Topical-Chat: 10,784 lines (all splits merged) |
| |
| ## Dataset Creation |
| |
| The MultiturnMix data was created by: |
| 1. Randomly sampling 20,000 lines from the SODA dataset and combining them with the other datasets |
| - For the v2 and v3 datasets, 13,000 random lines from SODA were selected |
| 2. Embeddings were computed with the [agentlans/snowflake-arctic-embed-xs-zyda-2](https://huggingface.co/agentlans/snowflake-arctic-embed-xs-zyda-2) model |
| 3. Clustering the lines into 1,000, 10,000, or 30,000 k-means clusters to ensure diversity |
| |
| ## Considerations for Using the Data |
| |
| ### Intended Uses |
| This dataset is primarily intended for training and fine-tuning language models for creative writing, roleplaying, and conversational AI tasks. |
| |
| ### Social Impact and Biases |
| * The data may exhibit biases in style and formatting due to its synthetic nature. |
| * It might not represent all genres or fandoms equally well. |
| * Limited to two-player dialogues, which could differ from more complex multi-party interactions. |
| |
| ### Limitations |
| * Some subsets may be unsuitable for all audiences. |
| * English with limited representation of other languages. |
| * Not comprehensive coverage of creative writing or roleplaying scenarios. |
| * May still contain poor AI-generated content and repetitive conversations. |
| |
| ## Additional Information |
| |
| ### Dataset Sources |
| The dataset incorporates data from the following sources: |
| - [Dampfinchen/Creative_Writing_Multiturn](https://huggingface.co/datasets/Dampfinchen/Creative_Writing_Multiturn) |
| - [agentlans/Capybara](https://huggingface.co/datasets/agentlans/Capybara) |
| - [agentlans/allenai-soda](https://huggingface.co/datasets/agentlans/allenai-soda) |
| - [NarrativAI/CakrawalaRP](https://huggingface.co/datasets/NarrativAI/CakrawalaRP) |
| - [agentlans/Estwld-empathetic_dialogues_llm](https://huggingface.co/datasets/agentlans/Estwld-empathetic_dialogues_llm) |
| - [ChaiML/20231206_chai_prize_reward_model_data](https://huggingface.co/datasets/ChaiML/20231206_chai_prize_reward_model_data) |
| - [Guilherme34/SamanthaDataset-rolesformat](https://huggingface.co/datasets/Guilherme34/SamanthaDataset-rolesformat) |
| - [agentlans/knkarthick-dialogsum](https://huggingface.co/datasets/agentlans/knkarthick-dialogsum) |
| - [agentlans/practical-dreamer-RPGPT_PublicDomain](https://huggingface.co/datasets/agentlans/practical-dreamer-RPGPT_PublicDomain) |
| - [agentlans/AlekseyKorshuk-synthetic-characters](https://huggingface.co/datasets/agentlans/AlekseyKorshuk-synthetic-characters) |
| - [agentlans/li2017dailydialog](https://huggingface.co/datasets/agentlans/li2017dailydialog) |
| - [agentlans/Conversational-Reasoning-Topical-Chat](https://huggingface.co/datasets/agentlans/Conversational-Reasoning-Topical-Chat) |
| |
| ### Licensing and Privacy |
| - The dataset is not known to contain personal or sensitive information |
| - Users should refer to the original sources for specific licensing information |
