---
configs:
- config_name: ground
  data_files:
  - split: train
    path: ground/train-*
- config_name: single_point_track
  data_files:
  - split: train
    path: single_point_track/train-*
- config_name: track
  data_files:
  - split: train
    path: track/train-*
license: apache-2.0
task_categories:
- video-classification
- object-detection
tags:
- video-object-tracking
- video-segmentation
dataset_info:
- config_name: ground
  features:
  - name: id
    dtype: string
  - name: video
    dtype: string
  - name: expression
    dtype: string
  - name: fps
    dtype: int64
  - name: sampling_fps
    dtype: int64
  - name: height
    dtype: int64
  - name: n_frames
    dtype: int64
  - name: width
    dtype: int64
  - name: task
    dtype: string
  - name: frame_trajectories
    list:
    - name: frame
      dtype: int64
    - name: time
      dtype: float64
    - name: points
      list:
      - name: id
        dtype: int64
      - name: point
        list: float64
      - name: occluded
        dtype: bool
  - name: mask_id
    list: string
  - name: obj_id
    list: int64
  splits:
  - name: train
    num_bytes: 15979964
    num_examples: 11200
  download_size: 1543475
  dataset_size: 15979964
- config_name: single_point_track
  features:
  - name: id
    dtype: string
  - name: video
    dtype: string
  - name: expression
    dtype: string
  - name: fps
    dtype: int64
  - name: sampling_fps
    dtype: int64
  - name: height
    dtype: int64
  - name: n_frames
    dtype: int64
  - name: width
    dtype: int64
  - name: task
    dtype: string
  - name: frame_trajectories
    list:
    - name: frame
      dtype: int64
    - name: time
      dtype: float64
    - name: points
      list:
      - name: id
        dtype: int64
      - name: point
        list: float64
      - name: occluded
        dtype: bool
  - name: mask_id
    list: string
  - name: obj_id
    list: int64
  splits:
  - name: train
    num_bytes: 18784078
    num_examples: 16008
  download_size: 1621723
  dataset_size: 18784078
- config_name: track
  features:
  - name: id
    dtype: string
  - name: video
    dtype: string
  - name: expression
    dtype: string
  - name: fps
    dtype: int64
  - name: sampling_fps
    dtype: int64
  - name: height
    dtype: int64
  - name: n_frames
    dtype: int64
  - name: width
    dtype: int64
  - name: task
    dtype: string
  - name: frame_trajectories
    list:
    - name: frame
      dtype: int64
    - name: time
      dtype: float64
    - name: points
      list:
      - name: id
        dtype: int64
      - name: point
        list: float64
      - name: occluded
        dtype: bool
  - name: mask_id
    list: string
  - name: obj_id
    list: int64
  splits:
  - name: train
    num_bytes: 15890002
    num_examples: 11193
  download_size: 1534744
  dataset_size: 15890002
---

# lv-vis Tracking Dataset

Video object tracking annotations for lv-vis.

## Configs

| Config | Description | Splits |
|--------|-------------|--------|
| `track` (default) | Track points across all frames | train |
| `ground` | First and last appearance of points | train |
| `single_point_track` | Given starting point, track to end | train |

## Usage
```python
from datasets import load_dataset

# Default (track)
ds = load_dataset("allenai/molmo2-lv-vis", split="train")

# Specific config
ds = load_dataset("allenai/molmo2-lv-vis", "ground", split="train")
```