Anonymized dataset on how people use ChatGPT -- obtained from 1200+ users from India, Brazil, Nigeria and Pakistan.
# ChatGPT Conversation Data Across Four Countries
This repository contains ChatGPT conversation data with demographic information collected from participants in four countries: **Brazil**, **India**, **Nigeria**, and **Pakistan**. Each conversation has been classified along several dimensions using LLM-based classifiers adapted from the How People Use ChatGPT (OpenAI) and the The Anthropic Economic Index report: Economic Primitives.
## Files
For each country, two CSV files are provided:
- `user_demographics_ .csv` — one row per participant, containing basic demographic attributes and account-type.
- `user_conversations_classified_ .csv` — one row per conversation, containing conversation timestamp, classification labels, and per-conversation metadata (length, language, estimated time).
| Country | # Users | # Conversations |
|----------|---------|-----------------|
| Brazil | 246 | 40,067 |
| India | 557 | 88,958 |
| Nigeria | 243 | 44,114 |
| Pakistan | 206 | 29,451 |
Join key between the two files: `user_id`.
## Columns: `user_demographics_ .csv`
| Column | Description |
|-----------|--------------------------------------------------------------------------------|
| `user_id` | Anonymous participant identifier. |
| `Age` | Self-reported age (years). |
| `Gender` | Self-reported gender. |
| `Country` | Country of residence. |
| `is_plus` | Boolean. `True` if the user held a ChatGPT Plus subscription, `False` otherwise.
## Columns: `user_conversations_classified_ .csv`
### Identifiers
| Column | Description |
|--------------------------|---- …