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# Using Dataset Tools
This guide covers the dataset tools utilities available in LeRobot for modifying and editing existing datasets.
## Overview
LeRobot provides several utilities for manipulating datasets:
1. **Delete Episodes** - Remove specific episodes from a dataset
2. **Split Dataset** - Divide a dataset into multiple smaller datasets
3. **Merge Datasets** - Combine multiple datasets into one. The datasets must have identical features, and episodes are concatenated in the order specified in `repo_ids`
4. **Add Features** - Add new features to a dataset
5. **Remove Features** - Remove features from a dataset
The core implementation is in `lerobot.datasets.dataset_tools`.
An example script detailing how to use the tools API is available in `examples/dataset/use_dataset_tools.py`.
## Command-Line Tool: lerobot-edit-dataset
`lerobot-edit-dataset` is a command-line script for editing datasets. It can be used to delete episodes, split datasets, merge datasets, add features, and remove features.
Run `lerobot-edit-dataset --help` for more information on the configuration of each operation.
### Usage Examples
#### Delete Episodes
Remove specific episodes from a dataset. This is useful for filtering out undesired data.
```bash
# Delete episodes 0, 2, and 5 (modifies original dataset)
lerobot-edit-dataset \
--repo_id lerobot/pusht \
--operation.type delete_episodes \
--operation.episode_indices "[0, 2, 5]"
# Delete episodes and save to a new dataset (preserves original dataset)
lerobot-edit-dataset \
--repo_id lerobot/pusht \
--new_repo_id lerobot/pusht_after_deletion \
--operation.type delete_episodes \
--operation.episode_indices "[0, 2, 5]"
```
#### Split Dataset
Divide a dataset into multiple subsets.
```bash
# Split by fractions (e.g. 80% train, 20% test, 20% val)
lerobot-edit-dataset \
--repo_id lerobot/pusht \
--operation.type split \
--operation.splits '{"train": 0.8, "test": 0.2, "val": 0.2}'
# Split by specific episode indices
lerobot-edit-dataset \
--repo_id lerobot/pusht \
--operation.type split \
--operation.splits '{"task1": [0, 1, 2, 3], "task2": [4, 5]}'
```
There are no constraints on the split names, they can be determined by the user. Resulting datasets are saved under the repo id with the split name appended, e.g. `lerobot/pusht_train`, `lerobot/pusht_task1`, `lerobot/pusht_task2`.
#### Merge Datasets
Combine multiple datasets into a single dataset.
```bash
# Merge train and validation splits back into one dataset
lerobot-edit-dataset \
--repo_id lerobot/pusht_merged \
--operation.type merge \
--operation.repo_ids "['lerobot/pusht_train', 'lerobot/pusht_val']"
```
#### Remove Features
Remove features from a dataset.
```bash
# Remove a camera feature
lerobot-edit-dataset \
--repo_id lerobot/pusht \
--operation.type remove_feature \
--operation.feature_names "['observation.images.top']"
```
### Push to Hub
Add the `--push_to_hub` flag to any command to automatically upload the resulting dataset to the Hugging Face Hub:
```bash
lerobot-edit-dataset \
--repo_id lerobot/pusht \
--new_repo_id lerobot/pusht_after_deletion \
--operation.type delete_episodes \
--operation.episode_indices "[0, 2, 5]" \
--push_to_hub
```
There is also a tool for adding features to a dataset that is not yet covered in `lerobot-edit-dataset`.
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