---
license: cc-by-4.0
task_categories:
  - video-classification
  - other
tags:
  - opencs2
  - encoding
  - torchcodec
  - video
  - audio
configs:
  - config_name: media_variants
    data_files:
      - split: train
        path: data/media_variants.parquet
    default: true
---

# OpenCS2 Encoding Test

Tiny dataset for validating OpenCS2 round-video encoding choices over real
Hugging Face URLs. The `video` and `audio` columns are feature structs. For
muxed variants they intentionally point to the same MP4, so torchcodec can
decode video and audio from one HTTP object.

Rows: 6

Recommended smoke test:

```python
from datasets import load_dataset, Video, Audio

ds = load_dataset("blanchon/opencs2_encoding_test", split="train")
row = ds.cast_column("video", Video(seek_mode="approximate"))[0]
frames = row["video"].get_frames_played_in_range(1.2, 2.2)
samples = row["audio"].get_samples_played_in_range(1.2, 2.2)
```