datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
chatbot_arena_conversations
Chatbot Arena Conversations Dataset
This dataset contains 33K cleaned conversations with pairwise human preferences.
It is collected from 13K unique IP addresses on the Chatbot Arena from April to June 2023.
Each sample includes a question ID, two model names, their full conversation text in OpenAI API JSON format, the user vote, the anonymized user ID, the detected language tag, the OpenAI moderation API tag, the additional toxic tag, and the timestamp.
To ensure the safe release… See the full description on the dataset page: https://huggingface.co/datasets/lmsys/chatbot_arena_conversations.lmsys-chatbot_arena_conversations
Dataset Card for "lmsys-chatbot_arena_conversations"
More Information needed
arabic-univeristy-chatbot-qa
Arabic University Chatbot QA
A multilingual, multi-label intent-routing dataset for a university chatbot: given a student's
message, predict which of 20 intent categories it should route to. This is
routing, not question answering — the dataset contains no answers.
Release v0.8.0 — pinned as a Hub tag, so revision="v0.8.0" always resolves to exactly these rows.
This release holds 50,000 question rows in 22,600 scenario
groups. Every row has accepted == true; the classifier… See the full description on the dataset page: https://huggingface.co/datasets/NajahUniv/arabic-univeristy-chatbot-qa.chatbot-datatw_chatbot_arena
TW Chatbot Arena 資料集說明
概述
TW Chatbot Arena 資料集是一個開源資料集，旨在促進台灣聊天機器人競技場 https://arena.twllm.com/ 的人類回饋強化學習資料（RLHF）。這個資料集包含英文和中文的對話資料，主要聚焦於繁體中文，以支援語言模型的開發和評估。
資料集摘要
授權: Apache-2.0
語言: 主要為繁體中文
規模: 3.6k 筆資料（2024/08/02）
內容: 使用者與聊天機器人的互動，每筆互動都根據回應品質標記為被選擇或被拒絕。
贊助
本計畫由「【g0v 零時小學校】繁體中文AI 開源實踐計畫」（https://sch001.g0v.tw/dash/brd/2024TC-AI-OS-Grant/list）贊助。
資料集結構
資料集包含以下欄位：
question_id: 每次互動的唯一隨機識別碼。
model_a: 左側模型的名稱。
model_b: 右側模型的名稱。
winner:… See the full description on the dataset page: https://huggingface.co/datasets/aigrant/tw_chatbot_arena.talking-to-chatbots-unwrapped-chatsThis work-in-progress dataset contains conversations with various LLM tools, sourced by the author of the website Talking to Chatbots.
A simplified version of this dataset can be found at reddgr/talking-to-chatbots-chats, where messages belonging to a same conversation are 'wrapped' inside a single record. In this extended dataset, each conversation turn (pair of messages consisting of a user prompt and a response by the LLM) is presented as an individual record, with additional metrics and… See the full description on the dataset page: https://huggingface.co/datasets/reddgr/talking-to-chatbots-unwrapped-chats.lmsys_chatbot_arena_conversations
Dataset Card for "lmsys_chatbot_arena_conversations"
More Information needed
Ecom-Chatbot-Finetuning-Dataset
Ecom Chatbot Fine-Tuning Dataset
A unified e-commerce chatbot fine-tuning dataset combining 5 source datasets (40,098 examples total), covering product discovery, order management, customer support, returns, and more.
Splits
Split
Source
Examples
amazon_meta
Amazon product metadata
5,000
amazon_reviews
Amazon product reviews
23,100
asos_ecom_dataset
ASOS fashion e-commerce
2,000
bitext_customer_support
Bitext customer support (placeholder-free)
5,000… See the full description on the dataset page: https://huggingface.co/datasets/V1rtucious/Ecom-Chatbot-Finetuning-Dataset.Full-Ecom-Chatbot-Dataset
E-commerce Chatbot Training Data
A curated, multi-source dataset for training and evaluating e-commerce conversational AI systems. It covers a broad range of customer intents — from product discovery and order management to returns, tool-augmented responses, and RAG-grounded Q&A — across 16+ product domains.
Dataset Summary
Split
Records
Train
35,213
Test
8,818
Total
44,031
The train/test split uses prompt-group-level stratified sampling on source ×… See the full description on the dataset page: https://huggingface.co/datasets/rescommons/Full-Ecom-Chatbot-Dataset.chatbot-arena-conversations-Embeddings
Chatbot Arena Conversations Embeddings
Embeddings of agie-ai/lmsys-chatbot_arena_conversations, produced with amkdg/Qwen3-Embedding-8B-NVFP4 — 4096-d,
L2-normalized float16 (cosine = dot product).
65,960 conversations → 65,960 vectors
emb.npy — float16 [65960, 4096]
meta.parquet — one row per vector, aligned with emb.npy: id, uuid, tag, chunk, n_chunks, count, source_ref
manifest.json — counts and provenance
Usage
import numpy as np, pyarrow.parquet as pq
emb… See the full description on the dataset page: https://huggingface.co/datasets/amkdg/chatbot-arena-conversations-Embeddings.talking-to-chatbots-chatsThis work-in-progress dataset contains conversations with various LLM tools, sourced by the author of the website Talking to Chatbots.
The format chosen for structuring this dataset is similar to that of lmsys/lmsys-chat-1m.
Conversations are identified by a UUID (v4) and 'wrapped' in a JSON format where each message is contained in the 'content' key. The 'role' key identifies whether the message is a prompt ('user') or a response by the LLM ('assistant'). For each dictionary, 'turn'… See the full description on the dataset page: https://huggingface.co/datasets/reddgr/talking-to-chatbots-chats.Ecom-Chatbot-Finetuning-Dataset
Ecom Chatbot Finetuning Dataset
A unified instruction-following dataset for fine-tuning e-commerce customer service chatbots. It covers a wide range of real-world retail scenarios — from product discovery and order management to returns, complaints, and account support.
Dataset Summary
Field
Value
Total records
40,098
Language
English
Sources
Amazon Reviews 2023, Amazon Meta 2023, ASOS, Bitext
Response types
Text, Tool Call, Mixed
Difficulty levels
1… See the full description on the dataset page: https://huggingface.co/datasets/rescommons/Ecom-Chatbot-Finetuning-Dataset.chatbot-arena-ja-karakuri-lm-8x7b-chat-v0.1-awqchatbot-arena-ja-calm2-7b-chatをフィルタリングし、karakuri-lm-8x7b-chat-v0.1-awqでchosenを生成しました
chatbot-diabetes-historychatbot_arena_personalized_0125unb-chatbotchatbot-arena-ja-elo-rating
Leaderboard
ChatBotArena-jaのランキングです｡
2時間に1回程度のペースで更新されます｡
chatbot_arena_personalized_1023africa-synth-telecom-chatbot-and-live-chat-logs-nigeria
Africa Synth Telecom Chatbot and Live Chat Logs Nigeria | Africa (Electric Sheep Africa metadata inventory)
Size category: 100K<n<1M - Formats: parquet - Sector: technology_digital - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-telecom-chatbot-and-live-chat-logs-nigeria.chatbot_arenachatbot_arena_rm_train_persona_3b_052150k_nepali_dataset_chatbottalking-to-chatbots-prompts-embeddingschatbot_arena_rm_train_full_8b_0521chatbot_arena_rm_train_persona_8b_0521chatbot_arena_full_train_persona_demos_0213chatbot_arena_rm_train_persona_70b_0521banking-chatbot-enquirieslmsys_chatbot_arena_conversations_filtered
Dataset Card for "lmsys_chatbot_arena_conversations_filtered"
More Information needed
chatbot_arena_rm_train_full_3b_0521