agentlans/lmsys-chat-1m-prompts

Prompts from "LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset"

This dataset features unique first-turn prompts in English, drawn from the LMSYS-Chat-1M dataset. It captures how real users begin conversations with large language models (LLMs) in everyday scenarios.

Due to licensing restrictions, this dataset is access-controlled, so this public repository is gated.

Please do not request access here, as such requests will not be approved.

If you’re interested, you can easily create this dataset yourself:

import huggingface_hub

# Log in to gated dataset
huggingface_hub.login()

import json
from datasets import load_dataset
from tqdm.auto import tqdm

unique_prompts = set()
with open("lmsys-prompts.jsonl", "w") as outfile:
    for example in tqdm(load_dataset("lmsys/lmsys-chat-1m", split="train", streaming=True), desc="Processing prompts"):
        if example.get('language') == 'English':
            prompt = example['conversation'][0]['content']
            if prompt not in unique_prompts:
                # Write to file as a JSON dictionary like {"text": ____}
                outfile.write(json.dumps({"text": prompt}) + '\n')
                unique_prompts.add(prompt)