---
license: apache-2.0
task_categories:
- robotics
language:
- en
tags:
- lerobot
- pusht
- diffusion-policy
- robotics
- lance
- lerobot-lancedb
pretty_name: pusht-lerobot-lancedb (frames / JPEG)
size_categories:
- 10K<n<100K
---

# pusht-lerobot-lancedb (frames / JPEG)

A [`lerobot-lancedb`](https://github.com/lancedb/lerobot-lancedb)-format Lance copy of
[`lerobot/pusht`](https://huggingface.co/datasets/lerobot/pusht). One row per frame; per-frame
JPEG bytes stored inline.

> **Not to be confused with** [`lance-format/lerobot-pusht-lance`](https://huggingface.co/datasets/lance-format/lerobot-pusht-lance),
> which uses a different three-table schema (`frames`/`episodes`/`videos`) and is **not loadable**
> with `lerobot-lancedb`. This repo is specifically the layout produced by
> `lerobot-convert-to-lance`.

## Load

```python
from lerobot_lancedb import LeRobotLanceDataset

ds = LeRobotLanceDataset(repo_id="lance-format/pusht-lerobot-lancedb")
print(len(ds))                 # 25_650 frames
print(ds[0]["observation.image"].shape)  # torch.Size([3, 96, 96])
```

Lance streams per-frame bytes via byte-range fetches from the Hub — no full-dataset download.

## Repro

```bash
pip install git+https://github.com/lancedb/lerobot-lancedb.git
lerobot-convert-to-lance \
    --repo-id=lerobot/pusht \
    --output=./pusht-lerobot-lancedb \
    --table-name=pusht-lerobot-lancedb \
    --jpeg-quality=95
```

## Layout

```
pusht-lerobot-lancedb/
├── meta/                          # standard LeRobotDataset metadata sidecar
│   ├── info.json
│   ├── episodes.jsonl
│   ├── stats.json
│   └── tasks.jsonl
└── pusht-lerobot-lancedb.lance/   # single Lance table, one row per frame
```

Columns: `episode_index`, `frame_index`, `index`, `timestamp`, `task_index`,
`observation.state`, `action`, `observation.image` (JPEG bytes, lossy q=95).

Size: ~60 MB. Companion video-blob layout (bit-exact pixels, ~8 MB) at
[`lance-format/pusht-lerobot-lancedb-video`](https://huggingface.co/datasets/lance-format/pusht-lerobot-lancedb-video).