mcg
Datasets
All datasets matching “mcg”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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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.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.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
Loading dataset
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.stereoset
Dataset Card for StereoSet
Dataset Summary
StereoSet is a dataset that measures stereotype bias in language models. StereoSet consists of 17,000 sentences that measures model preferences across gender, race, religion, and profession.
Supported Tasks and Leaderboards
multiple-choice question answering
Languages
English (en)
Dataset Structure
Data Instances
#intersentence
{'bias_type': 'race', 'context': 'Many people live in… See the full description on the dataset page: https://huggingface.co/datasets/McGill-NLP/stereoset.TimeLens2-93K
TimeLens2-93K
TimeLens2-93K is a large-scale, long-video temporal grounding dataset. This release contains 23,793 videos and 93,232 text–temporal interval pairs, including 12,091 multi-span pairs. The videos range from short clips to nearly 100 minutes and cover broad web domains such as entertainment, education, sports, news, science and technology, gaming, travel, vehicles, music, and daily life.
TimeLens2-93K offers a rare combination of scale, long-context coverage… See the full description on the dataset page: https://huggingface.co/datasets/MCG-NJU/TimeLens2-93K.