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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:
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)
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