Mc
Datasets
All datasets matching “Mc”Amazon-Reviews-2023Amazon Review 2023 is an updated version of the Amazon Review 2018 dataset.
This dataset mainly includes reviews (ratings, text) and item metadata (desc-
riptions, category information, price, brand, and images). Compared to the pre-
vious versions, the 2023 version features larger size, newer reviews (up to Sep
2023), richer and cleaner meta data, and finer-grained timestamps (from day to
milli-second).weblinx-browsergym
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
Xing Han Lù*, Zdeněk Kasner*, Siva Reddy
💾Code
📄Paper
🌐Website
📓Colab
🤖Models💻Explorer
🐦Tweets
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Your browser does not support the video tag.
This dataset was specifically created to allow WebLINX to be used inside the BrowserGym and Agentlab ecosystem. Please see the browsergym repository for more information.
[!NOTE]
The version associated with this library is WebLINX… See the full description on the dataset page: https://huggingface.co/datasets/McGill-NLP/weblinx-browsergym.WebLINX-full
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
WARNING: This is not the main WebLINX data card! You might want to use the main WebLINX data card instead:
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
Xing Han Lù*, Zdeněk Kasner*, Siva Reddy
💾Code
📄Paper
🌐Website
📓Colab
🤖Models
💻Explorer
🐦Tweets
🏆Leaderboard
Your browser does not support the… See the full description on the dataset page: https://huggingface.co/datasets/McGill-NLP/WebLINX-full.agent-reward-bench
AgentRewardBench
💾Code
📄Paper
🌐Website
🤗Dataset
💻Demo
🏆Leaderboard
AgentRewardBench: Evaluating Automatic Evaluations of Web Agent TrajectoriesXing Han Lù, Amirhossein Kazemnejad*, Nicholas Meade, Arkil Patel, Dongchan Shin, Alejandra Zambrano, Karolina Stańczak, Peter Shaw, Christopher J. Pal, Siva Reddy*Core Contributor
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You can use the huggingface_hub library to load the dataset. The dataset is available on Huggingface Hub at… See the full description on the dataset page: https://huggingface.co/datasets/McGill-NLP/agent-reward-bench.VideoChat3-LV116k
VideoChat3-LV116K
VideoChat3-LV116K is the long-video instruction data used by VideoChat3. It is designed to complement short academic video data with supervision over longer temporal contexts, where evidence can be sparse, delayed, and distributed across multiple video segments.
The dataset is constructed through a long-video synthesis pipeline. Candidate long videos are filtered for visual quality, semantic content, and temporal coherence. Videos are then split into manageable… See the full description on the dataset page: https://huggingface.co/datasets/MCG-NJU/VideoChat3-LV116k.MCP-AtlasMCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers
Leaderboard | MCP Atlas Paper | Github
Dataset Summary
This public release is a subset of 500 sample tasks from the MCP Atlas Benchmark dataset.
MCP Atlas is a large-scale benchmark for evaluating tool-use competency, comprising 36 real MCP servers and 220 tools.
Tasks are designed to assess tool-use competency in realistic, multi-step workflows.
Tasks use natural language prompts that avoid… See the full description on the dataset page: https://huggingface.co/datasets/ScaleAI/MCP-Atlas.