dataset_id large_string | path large_string | domain large_string | embodiment_id large_string | instruction_slug large_string | instruction large_string | lerobot_version large_string | robot_type large_string | license large_string | capture_fingerprint large_string | source_uri large_string | source_revision large_string | source_license large_string | status large_string | total_episodes int64 | total_frames int64 | duration_s float64 | fps float64 | storage_bytes int64 | camera_keys large list | split_counts large_string | quality_counts large_string | outcome_label_coverage float64 | added_at large_string | updated_at large_string | related_datasets large list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
qualia-dataset-real/so101/ring-on-pole-base-without-touching | data/so101/ring-on-pole-base-without-touching | real | so101 | ring-on-pole-base-without-touching | Put the ring on the pole base without touching it, then take it out | v2.1 | so_follower | cc-by-nc-sa-4.0 | sha256:7a8a2cd3b0870468130cd46a59a011b4efea59fd25f37d5d1443ca1f5d31c943 | https://huggingface.co/datasets/Johbsn/so101_ring_on_peg_v3 | b18933774f32e931635372eab4bd4dbfa87ffdd0 | unknown | unreviewed | 74 | 45,636 | 1,521.2 | 30 | 475,431,530 | [
"observation.images.scene",
"observation.images.wrist"
] | {"train":74} | {"unreviewed":74} | 0 | unknown | unknown | [] |
qualia-dataset-real/trlc-dk1/put-cylinder-in-base | data/trlc-dk1/put-cylinder-in-base | real | trlc-dk1 | put-cylinder-in-base | put cylinder in base | v2.1 | bi_dk1_follower | cc-by-nc-sa-4.0 | sha256:d44c8243fe83cd43e32eea09b0cee88f1caa2b75b3e058e5ba214f596cc4e450 | https://huggingface.co/datasets/mkohegyi/mini-chair-base_put | 42d4e675a25d11357ebbf52345aa88afbe4c5a5d | apache-2.0 | unreviewed | 160 | 85,181 | 2,839.366667 | 30 | 2,151,898,539 | [
"observation.images.context",
"observation.images.wrist_left",
"observation.images.wrist_right"
] | {"train":160} | {"unreviewed":160} | 0 | unknown | unknown | [] |
Qualia Real-Robot Datasets
| Release | release-2026-07-19.3 (changelog) |
| Domain | Real-robot recordings |
| Format | LeRobot v2.1 |
| Access | Public |
| Contact | Start a discussion |
Public access makes the recordings inspectable and reproducible; usage rights still follow each source dataset. See License and provenance.
Dataset description
This repository collects Qualia's real-robot datasets in one place. Each dataset contains one instruction and records the source revision used to prepare it.
The collection will grow as recordings are recovered from Hugging Face and other archives. New data is added as a separate dataset when the instruction or capture setup changes; compatible recordings may be appended to an existing dataset after validation.
Using the collection
The Hub viewer opens catalog.parquet, which is the quickest way to see what is available. The
trajectory files are stored in the dataset directories linked below.
This repository is not a single LeRobot or OpenPI training root. Choose one dataset directory, or prepare a separate training dataset from the recordings you need. Pin the release or commit used for each experiment.
Versioning
main contains the newest accepted state of the collection. Dated release tags identify reviewed
snapshots; training manifests should record both the release tag and full commit SHA. The collection
release is separate from LeRobot v2.1, which describes the on-disk data format.
Included datasets
| Dataset | Instruction | Embodiment | Episodes | Recording time | Source dataset |
|---|---|---|---|---|---|
| Ring on pole base | Put the ring on the pole base without touching it, then take it out | SO-101 | 74 | 25m 21s | Johbsn/so101_ring_on_peg_v3 |
| Put cylinder in base | put cylinder in base | TRLC DK1 | 160 | 47m 19s | mkohegyi/mini-chair-base_put |
Dataset structure
data/
<embodiment>/
<instruction>/
dataset.md # datasheet for people
dataset.yaml # source and capture metadata
meta/ # LeRobot v2.1 metadata
data/ # one Parquet file per episode
videos/ # one video per episode and camera
qualia/ # episode provenance, statistics and validation
Each directory under data/<embodiment>/<instruction>/ is a complete, one-instruction LeRobot v2.1
dataset. The root catalog configuration exposes only catalog.parquet; it deliberately does not
combine frame tables from robots with different action spaces.
Dataset creation
Curation rationale
The collection exists to make Qualia's training data easier to find, inspect and reproduce. It keeps source history and capture metadata next to the trajectories instead of relying on links scattered through chat messages.
Source data and processing
This release converts two existing LeRobot v3.0 source datasets. The source repositories were not modified. Episodes were converted to one-instruction v2.1 datasets, source episode identities were preserved, and all statistics were recalculated from the converted Parquet and video files.
Validation
Every dataset is checked for task consistency, episode and frame indices, timestamps, feature shapes, camera metadata, missing files, non-finite values and stale statistics. Video frame counts, durations and frame rates were also checked for this release.
Collection statistics
| Datasets | Embodiments | Episodes | Frames | Recording time | Storage |
|---|---|---|---|---|---|
| 2 | 2 | 234 | 130,817 | 1h 12m | 2.4 GiB |
By embodiment
| Embodiment | Datasets | Episodes | Frames | Recording time | Storage |
|---|---|---|---|---|---|
| SO-101 | 1 | 74 | 45,636 | 25m 21s | 453.4 MiB |
| TRLC DK1 | 1 | 160 | 85,181 | 47m 19s | 2.0 GiB |
Action and state ranges are calculated separately for each dataset because robots and control setups may use different action spaces.
More charts
Known limitations
- The episodes have not yet been reviewed or labelled for success and termination.
- Several legacy setup details—including hardware revision, calibration, operator and site—were not
available in the source datasets and are marked
unknownrather than guessed. - The two datasets use different robots and action spaces and should not be mixed without an explicit training-time transform.
Contributing
We welcome recovered datasets, additional recordings, corrected metadata and improved review labels. See CONTRIBUTING.md for the required files and checks.
License and provenance
Qualia Robotics releases this collection under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license. Reuse requires attribution, must be non-commercial, and adaptations must use the same license.
Original source-license metadata remains recorded in each dataset.yaml for provenance. The ring
source did not publish a license at the pinned revision, so its source-license field remains
unknown; this records the upstream metadata and does not replace Qualia's license for this release.
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