datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ABot-World-Explorer-500h
ABot World Explorer 500h
ABot World Explorer 500h contains 30,969 action-conditioned video episodes
associated with the data infrastructure described in
ABot-World-0. Each episode preserves an MP4,
dataset-native keyboard actions, captions, and one COLMAP text sparse model.
Dataset facts
Item
Value
Episodes
30,969
Source objects
185,814
Semantic splits
None
License
Apache-2.0
The repository name is an identifier, not an audited… See the full description on the dataset page: https://huggingface.co/datasets/acvlab/ABot-World-Explorer-500h.ABot-World-Explorer-4D
ABot World Explorer 4D
ABot World Explorer 4D is a depth-enabled sample of the action-conditioned
video data infrastructure described in
ABot-World-0. Its source manifest references
20 episodes and 181,561 EXR depth objects; the release preserves their bytes.
Dataset facts
Item
Value
Episodes
20
Base source objects
120
EXR depth objects
181,561
Total source objects
181,681
Semantic splits
None
Depth representation
Absolute metric… See the full description on the dataset page: https://huggingface.co/datasets/acvlab/ABot-World-Explorer-4D.English-CEFR-Explorer
🇬🇧 English CEFR Explorer Benchmark
This dataset is an automatically updated benchmark for testing LLM adherence to CEFR (Common European Framework of Reference for Languages) constraints.
Dataset Structure
The dataset is formatted as a JSONL file optimized for Instruction Tuning.
Data Fields
id: Unique identifier for the generation task.
messages: Standard chat format (System, User, Assistant).
System: Defines the persona (ESL Teacher).
User: The… See the full description on the dataset page: https://huggingface.co/datasets/yasincicek/English-CEFR-Explorer.