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01lesserfield /lmsys-arena-human-preference-winner-43k-unfiltered lmsys-arena-human-preference-winner-43k-unfiltered This repository contains a dataset derived from the lmsys/lmsys-arena-human-preference-55k dataset, which is licensed under the Apache 2.0 License. Dataset Description The lmsys-arena-human-preference-winner-43k-unfiltered dataset is a collection of 43,000 samples, each containing an instruction (prompt) and an output (winning response) from real-world user and LLM conversations. The dataset is derived from the original… See the full description on the dataset page: https://huggingface.co/datasets/lesserfield/lmsys-arena-human-preference-winner-43k-unfiltered.texttext-generation10K<n<100K2 likes68 downloads2y agoHugging Face02natong19 /lmsys-chat-1m-filtered Dataset Card for natong19/lmsys-chat-1m-filtered Filtered version of lmsys/lmsys-chat-1m, a collection of one million real-world conversations with various LLMs. Data cleaning process inspired by OpenLeecher/lmsys_chat_1m_clean. Overview of filtering process: 1. Filtering REDACTED Entries Entries that were labeled as REDACTED due to containing Personally Identifiable Information (PII) were removed. 1000000 samples -> 733740 samples 2. Format validation… See the full description on the dataset page: https://huggingface.co/datasets/natong19/lmsys-chat-1m-filtered.texttext-classification100K<n<1M1 likes48 downloads10mo agoHugging Face03agentlans /ytz20-LMSYS-Chat-GPT-5-Chat-Response ytz20/LMSYS-Chat-GPT-5-Chat-Response Dataset This is a reformatted, unofficial version of ytz20/LMSYS-Chat-GPT-5-Chat-Response According to the original authors: This dataset is an extension of the LMSYS-Chat-1M-Clean corpus, specifically curated by collecting high-quality, non-refusal responses from the GPT-5-Chat API. Modifications in this version: The "content" and "teacher_response" columns have been processed into the "input" and "output" columns in this dataset. An… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/ytz20-LMSYS-Chat-GPT-5-Chat-Response.texttext-generation100K<n<1M1 likes40 downloads10mo agoHugging Face04PJMixers-Dev /lmsys_lmsys-chat-1m-gemini-2.0-flash-thinking-exp-1219-CustomShareGPT lmsys_lmsys-chat-1m-gemini-2.0-flash-thinking-exp-1219-CustomShareGPT PJMixers-Dev/musab-mk_lmsys-chat-1m_deduped-prompts with responses generated with gemini-2.0-flash-thinking-exp-1219. Generation Details If BlockedPromptException, StopCandidateException, or InvalidArgument was returned, the sample was skipped. If ["candidates"][0]["safety_ratings"] == "SAFETY" the sample was skipped. If ["candidates"][0]["finish_reason"] != 1 the sample was skipped. model =… See the full description on the dataset page: https://huggingface.co/datasets/PJMixers-Dev/lmsys_lmsys-chat-1m-gemini-2.0-flash-thinking-exp-1219-CustomShareGPT.texttext-generation1K<n<10K0 likes27 downloads2y agoHugging Face05iarcuschin /gemma-3-12b-it-lmsys-onpolicy-rollouts On-policy chat rollouts: google/gemma-3-12b-it on LMSYS-Chat-1M prompts Each row is a first-user-turn prompt sampled from lmsys/lmsys-chat-1m and a response generated on-policy by google/gemma-3-12b-it with vLLM (do_sample, temperature 0.7, top_p 1.0, max_new_tokens 768, seed 42). 24,991 rows. Built to match GemmaScope 2's instruction-tuned SAE training distribution (real model rollouts) for a short KL+MSE ("end-to-end") finetune of the released GemmaScope-2 residual SAE.… See the full description on the dataset page: https://huggingface.co/datasets/iarcuschin/gemma-3-12b-it-lmsys-onpolicy-rollouts.tabulartext-generation10K<n<100K0 likes18 downloads2mo agoHugging Face

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