Sample (20 rows per task): metadata.parquet, audio/, README, LICENSE (CC BY-NC-SA 4.0)

LICENSE

@@ -0,0 +1,21 @@
+Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
+
+This work is licensed under the Creative Commons Attribution-NonCommercial-
+ShareAlike 4.0 International License.
+
+To view a copy of this license, visit:
+https://creativecommons.org/licenses/by-nc-sa/4.0/
+
+Summary (not a substitute for the license):
+https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en
+
+You are free to:
+  Share — copy and redistribute the material in any medium or format
+  Adapt — remix, transform, and build upon the material
+
+Under the following terms:
+  Attribution — You must give appropriate credit, provide a link to the license,
+    and indicate if changes were made.
+  NonCommercial — You may not use the material for commercial purposes.
+  ShareAlike — If you remix, transform, or build upon the material, you must
+    distribute your contributions under the same license as the original.

README.md

@@ -10,5 +10,10 @@ configs:
 
 Audio files live under `audio/`. Metadata is in `metadata.parquet` with a
 `file_name` column (repo-relative paths) so the Hugging Face Dataset Viewer can
-play clips. Filter by `task` (benchmark subset id), e.g.
+play clips—**only** `file_name` uses that convention; tier 4 rows instead use
+`context_audio_paths` (list) and `query_audio_path` so the viewer is not confused
+by several `*_file_name`-like columns. Column `task` is the benchmark task id
+(same strings as the old `subset` column in other layouts). Column `tier` is an
+integer in ``{1,2,3,4}`` (legacy Parquet may still use directory strings; loaders
+normalize both). Example:
 `dataset["train"].filter(lambda x: x["task"] == "crow-description")`.

metadata.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7ce690ae759fd441c24ff554aafa5719ba11d73ad5b71eecace3f7e6de5f4886
+size 84776