textallenai/WildChat-4.8Mconversationschatgptinstruction-tuningdialogueragllm-trainingallenaiwildchatmultilingualodc-by
WildChat-4.8M: Real Human-ChatGPT Conversations (Non-Toxic Subset)
About this data
3.2M real user↔ChatGPT conversations collected in the wild by AI2. Non-toxic subset, parquet format, ODC-By licensed. Widely used for instruction tuning, RAG, and chat-model evaluation.
Schema
| Name | Type | Description |
|---|---|---|
| conversation_hash | VARCHAR | |
| model | VARCHAR | |
| timestamp | TIMESTAMP | |
| conversation | STRUCT("content" VARCHAR, created BIGINT, "header" STRUCT("accept-language" VARCHAR, "user-agent" VARCHAR), hashed_ip VARCHAR, country VARCHAR, toxic BOOLEAN, redacted BOOLEAN, state VARCHAR, "language" VARCHAR, openai_id VARCHAR, "role" VARCHAR, temperature DOUBLE, "timestamp" TIMESTAMP, token_counter BIGINT, top_p DOUBLE, turn_identifier BIGINT, system_fingerprint VARCHAR, usage STRUCT(completion_tokens BIGINT, completion_tokens_details STRUCT(reasoning_tokens BIGINT, text_tokens BIGINT, audio_tokens BIGINT, accepted_prediction_tokens BIGINT, rejected_prediction_tokens BIGINT), prompt_tokens BIGINT, total_tokens BIGINT, prompt_tokens_details STRUCT(cached_tokens BIGINT, audio_tokens BIGINT)))[] | |
| turn | BIGINT | |
| language | VARCHAR | |
| openai_moderation | STRUCT(categories STRUCT(harassment BOOLEAN, "harassment/threatening" BOOLEAN, harassment_threatening BOOLEAN, hate BOOLEAN, "hate/threatening" BOOLEAN, hate_threatening BOOLEAN, illicit BOOLEAN, "illicit/violent" BOOLEAN, illicit_violent BOOLEAN, "self-harm" BOOLEAN, "self-harm/instructions" BOOLEAN, "self-harm/intent" BOOLEAN, self_harm BOOLEAN, self_harm_instructions BOOLEAN, self_harm_intent BOOLEAN, sexual BOOLEAN, "sexual/minors" BOOLEAN, sexual_minors BOOLEAN, violence BOOLEAN, "violence/graphic" BOOLEAN, violence_graphic BOOLEAN), category_applied_input_types STRUCT(harassment VARCHAR[], "harassment/threatening" VARCHAR[], harassment_threatening VARCHAR[], hate VARCHAR[], "hate/threatening" VARCHAR[], hate_threatening VARCHAR[], illicit VARCHAR[], "illicit/violent" VARCHAR[], illicit_violent VARCHAR[], "self-harm" VARCHAR[], "self-harm/instructions" VARCHAR[], "self-harm/intent" VARCHAR[], self_harm VARCHAR[], self_harm_instructions VARCHAR[], self_harm_intent VARCHAR[], sexual VARCHAR[], "sexual/minors" VARCHAR[], sexual_minors VARCHAR[], violence VARCHAR[], "violence/graphic" VARCHAR[], violence_graphic VARCHAR[]), category_scores STRUCT(harassment DOUBLE, "harassment/threatening" DOUBLE, harassment_threatening DOUBLE, hate DOUBLE, "hate/threatening" DOUBLE, hate_threatening DOUBLE, illicit DOUBLE, "illicit/violent" DOUBLE, illicit_violent DOUBLE, "self-harm" DOUBLE, "self-harm/instructions" DOUBLE, "self-harm/intent" DOUBLE, self_harm DOUBLE, self_harm_instructions DOUBLE, self_harm_intent DOUBLE, sexual DOUBLE, "sexual/minors" DOUBLE, sexual_minors DOUBLE, violence DOUBLE, "violence/graphic" DOUBLE, violence_graphic DOUBLE), flagged BOOLEAN)[] | |
| detoxify_moderation | STRUCT(identity_attack DOUBLE, insult DOUBLE, obscene DOUBLE, severe_toxicity DOUBLE, sexual_explicit DOUBLE, threat DOUBLE, toxicity DOUBLE)[] | |
| toxic | BOOLEAN | |
| redacted | BOOLEAN | |
| state | VARCHAR | |
| country | VARCHAR | |
| hashed_ip | VARCHAR | |
| header | STRUCT("accept-language" VARCHAR, "user-agent" VARCHAR) |
Sample Data
Preview a sample of the data before downloading.
Free
Open dataset
Quality: No ratings
0 downloads
Seller: DataBazaar
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For AI Agents
Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
"mcpServers": {
"databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
}
}
# 2. Your agent can then call:
search_datasets({ query: "WildChat-4.8M: Real Human-Chat" })
// Found: 35def0ab-53be-414a-90c6-c001a37d3250
get_download_url({ dataset_id: "35def0ab-53be-414a-90c6-c001a37d3250" }) // free — no API key neededVia REST API
# Free dataset — no API key required: curl https://api.databazaar.io/datasets/35def0ab-53be-414a-90c6-c001a37d3250/download-url