---
tags:
- tsfile
- timeseries
- lerobot
- atari
- demon-attack
- pi0
- validation
modality: timeseries
size_categories:
- 10K<n<100K
pretty_name: Demon Attack Pi0 Validation (TsFile)
configs:
- config_name: default
  data_files:
  - split: validation
    path: data/demon_attack_pi0_validation.tsfile
---

# Demon Attack Pi0 Validation (TsFile)

This dataset contains the numeric time-series data from
[`talha1503/demon_attack_pi0_validation`](https://huggingface.co/datasets/talha1503/demon_attack_pi0_validation),
converted from its LeRobot v2.0 Atari layout to one Apache TsFile. The task asks
an agent playing Demon Attack from a single game image to choose one of `NOOP`,
`FIRE`, `RIGHT`, `LEFT`, `RIGHTFIRE`, or `LEFTFIRE`, avoid enemy fire, survive,
and shoot enemies to maximize score.

- **Modalities:** Time-series in this repository; RGB images in the original repository
- **Split:** validation
- **Scale:** 29 episodes and 51,257 frames/rows
- **Sampling rate:** 30 FPS
- **Source files:** 29 episode Parquet files
- **Converted files:** 1 TsFile
- **Source revision:** `1a423750d2957d33cd2ec4c4931465eb8ab845b6`
- **License:** not specified by the source repository

## Data File

The complete converted numeric dataset is stored at
[`data/demon_attack_pi0_validation.tsfile`](data/demon_attack_pi0_validation.tsfile).
It contains the table `demon_attack_pi0_validation`. Each source frame maps to
one row, while episode and task identifiers form the TsFile TAG dimensions.

## TsFile Schema

| Column | TsFile role | Type | Description |
|---|---|---|---|
| `Time` | TIME | INT64 timestamp (ms) | `round(timestamp * 1000)` within each episode |
| `episode_index` | TAG | STRING (source INT64) | Source episode index, `0` through `28` |
| `task_index` | TAG | STRING (source INT64) | Source task index; `0` for this dataset |
| `frame_index` | FIELD | INT64 | Frame index within the episode |
| `sample_index` | FIELD | INT64 | Source global sample `index` |
| `done` | FIELD | INT64 | Source boolean terminal flag encoded as `0` or `1` |
| `is_success` | FIELD | INT64 | Source boolean success flag encoded as `0` or `1` |
| `state_0` | FIELD | FLOAT | The one-dimensional source `state` vector |
| `actions_0` ... `actions_5` | FIELD | FLOAT | The six-dimensional source `actions` vector |

## Conversion Notes

- Source `timestamp` is represented by the TsFile `Time` column in milliseconds
  and is not duplicated as a FIELD.
- Source `index` is renamed to `sample_index`.
- `state` is flattened to `state_0` and `actions` is flattened to `actions_0`
  through `actions_5`, using single-precision FLOAT fields.
- Source boolean columns `done` and `is_success` are stored as INT64 `0`/`1`
  flags for reliable TsFile readback.
- `episode_index` and `task_index` are TAG columns, allowing all 29 episodes to
  remain in one TsFile.
- Detailed source-to-TsFile mappings are recorded in
  [`meta/info.json`](meta/info.json).

## Images

The source `image` feature is a `160 x 160 x 3` RGB image embedded in each
episode Parquet file. It is intentionally omitted from this numeric TsFile
conversion rather than expanded into 76,800 scalar values per frame. The images
remain available in the
[`original dataset`](https://huggingface.co/datasets/talha1503/demon_attack_pi0_validation).
The preserved episode, frame, task, and sample indices maintain frame-level
alignment with the source rows. The source repository contains no MP4 files.

## Reading the TsFile

```python
from tsfile import TsFileReader

reader = TsFileReader("data/demon_attack_pi0_validation.tsfile")
columns = [
    "episode_index",
    "task_index",
    "frame_index",
    "sample_index",
    "done",
    "is_success",
    "state_0",
    "actions_0",
]

with reader.query_table(
    "demon_attack_pi0_validation", columns, batch_size=65536
) as result:
    first_batch = result.read_arrow_batch()
    print(first_batch)
```

## Source and Attribution

The source repository did not provide a dataset card, paper, citation, author
list, or license metadata. Its available LeRobot metadata, task description,
episode Parquet files, and embedded images are preserved at
[`talha1503/demon_attack_pi0_validation`](https://huggingface.co/datasets/talha1503/demon_attack_pi0_validation).