Download README.md from ERVLA/AgiBot: direct link, hf CLI and curl.
- Browser
- Download file 1.42 kB
-
https://huggingface.co/datasets/ERVLA/AgiBot/resolve/main/README.md
- Command line
-
hf download hf://datasets/ERVLA/AgiBot/README.md
-
curl -L -o README.md https://huggingface.co/datasets/ERVLA/AgiBot/resolve/main/README.md
pretty_name: ERVLA AgiBot
language:
- en
tags:
- robotics
- embodied-chain-of-thought
- agibot
ERVLA AgiBot
AgiBot demonstrations with embodied chain-of-thought annotations for ERVLA. The demonstrations originate from AgiBot World.
| Content | Files |
|---|---|
| Episode JSON | 776,158 |
| CoT JSON | 776,158 |
| Videos | 2,327,916 |
The dataset is distributed as independent tar.zst archives in archives/.
All archives extract into the same dataset root:
json/
cot/
videos/
Paths in JSON and CoT are relative to this root. Archives contain the video
contents, with no symlinks or machine-specific ownership metadata.
Download every archive to restore the full dataset; individual archives may
contain only one content type. archives.json lists available archives and
their checksums. Its complete field becomes true after all archives have
been uploaded.
hf download ERVLA/AgiBot --repo-type dataset --local-dir agibot
cd agibot
sha256sum -c SHA256SUMS
for archive in archives/*.tar.zst; do
tar --zstd -xf "$archive"
done
Extraction requires GNU tar and Zstandard (zstd).
End-effector projections were refreshed where camera calibration was available; 2,145 CoT files retain their original projections.