Add OpenCS2 encoding test variants

.gitattributes

@@ -58,3 +58,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+media/copy_faststart_video_only/audio.m4a filter=lfs diff=lfs merge=lfs -text
+media/h264_crf18_gop1_video_only/audio.m4a filter=lfs diff=lfs merge=lfs -text
+media/h265_crf24_gop1_video_only/audio.m4a filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,38 @@
+---
+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)
+```

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