how2everything/lmsys-chat-1m

---
dataset_info:
features:
- name: conversation_id
dtype: string
- name: model
dtype: string
- name: conversation
list:
- name: content
dtype: string
- name: role
dtype: string
- name: turn
dtype: int64
- name: language
dtype: string
- name: openai_moderation
list:
- name: categories
struct:
- name: harassment
dtype: bool
- name: harassment/threatening
dtype: bool
- name: hate
dtype: bool
- name: hate/threatening
dtype: bool
- name: self-harm
dtype: bool
- name: self-harm/instructions
dtype: bool
- name: self-harm/intent
dtype: bool
- name: sexual
dtype: bool
- name: sexual/minors
dtype: bool
- name: violence
dtype: bool
- name: violence/graphic
dtype: bool
- name: category_scores
struct:
- name: harassment
dtype: float64
- name: harassment/threatening
dtype: float64
- name: hate
dtype: float64
- name: hate/threatening
dtype: float64
- name: self-harm
dtype: float64
- name: self-harm/instructions
dtype: float64
- name: self-harm/intent
dtype: float64
- name: sexual
dtype: float64
- name: sexual/minors
dtype: float64
- name: violence
dtype: float64
- name: violence/graphic
dtype: float64
- name: flagged
dtype: bool
- name: redacted
dtype: bool
- name: topic
dtype: string
splits:
- name: train
num_bytes: 2650937106
num_examples: 1000000
download_size: 1478439502
dataset_size: 2650937106
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---

# WildChat-4.8M, tagged by topic

This is a copy of [lmsys/lmsys-chat-1m](https://huggingface.co/datasets/lmsys/lmsys-chat-1m), tagged using OpenAI's conversation topic rubric [(Chatterji et al, 2025)](https://www.nber.org/papers/w34255).

## Topic distribution

Overall distribution of topics:


Distribution of topics, filter to English-only queries (to match OpenAI's English-centric rubric):