live-stream
LiveStreamingRiskControl
Live or Lie — Live Streaming Room Risk Assessment (May/June 2025)
This dataset contains live-streaming room interaction logs for room-level risk assessment under weak supervision. It is the official dataset for the research presented in the papers:
Outsmarting the Chameleon: Counterfactual Decoupling for Tactical OOD Shifts in Live Streaming Risk Assessment (Hugging Face Papers)
Live or Lie: Action-Aware Capsule Multiple Instance Learning for Risk Assessment in Live Streaming… See the full description on the dataset page: https://huggingface.co/datasets/ByteDance/LiveStreamingRiskControl.twitch-top-live-streams-metadata
Top Twitch Channels Live Viewership & Broadcast Metadata
Overview
This dataset contains clean, structured public data exported directly from production runs of Apify actors.
It serves as a benchmark and sample for lead qualification, market intelligence, research, and machine learning pipelines.
Source Actor: captainhandsome/twitch-live-streams-scraper
Dataset Page: Public sample and schema
Preconfigured Run Task: captainhandsome/twitch-live-fortnite-streams… See the full description on the dataset page: https://huggingface.co/datasets/joeygambino/twitch-top-live-streams-metadata.live-streaming-content
直播内容训练数据集
数据集简介
这个数据集包含直播记录的对话训练数据，适用于：
微调语言模型以生成直播风格的内容
构建直播内容问答系统
RAG (检索增强生成) 系统训练
数据格式
1. SFT 格式 (training_sft.jsonl)
对话式训练数据，适用于监督微调：
{
"messages": [
{"role": "system", "content": "你是一个专业的直播内容助手..."},
{"role": "user", "content": "请介绍一下..."},
{"role": "assistant", "content": "..."}
]
}
2. RAG 格式 (training_rag.jsonl)
问答对格式，包含上下文：
{
"question": "...",
"context": "...",
"answer": "...",
"metadata": {...}
}… See the full description on the dataset page: https://huggingface.co/datasets/licco123/live-streaming-content.tatbotlogo-livestream-practice-2025y-09m-18d-11h-22m-30sLiveStreamingRiskControl
Dataset Card: Live Streaming Room Risk Assessment (May/June 2025)
Dataset Summary
This dataset contains live-streaming room interaction logs for room-level risk assessment under weak supervision. Each example corresponds to a single live-streaming room and is labeled as risky (> 0) or normal (= 0).
The task is designed for early detection: each room’s action sequence is truncated to the first 30 minutes, and can be structured into user–timeslot capsules for models such as… See the full description on the dataset page: https://huggingface.co/datasets/yrqiao/LiveStreamingRiskControl.kumu-livestream-raw
halo-livestream-raw
Unsegmented source recordings behind sapinsapin/halo-livestream — the archival input to the pipeline, not a training set.
1 recording(s) · 26:56 · 9.0MB
🔒 Gated on purpose
Full-length conversation between named, identifiable speakers is a very
different privacy proposition from the short segments in the processed
dataset, so access here is gated: request it and agree to the terms above.
If what you want is segmented, quality-scored… See the full description on the dataset page: https://huggingface.co/datasets/sapinsapin/kumu-livestream-raw.