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microsoft
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AVGen-Bench

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Dataset card Data Studio Files Files and versions

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@@ -1,5 +1,6 @@
 ---
 license: mit
 configs:
 - config_name: default
   data_files:
@@ -15,7 +16,9 @@ This data card describes the generated audio-video outputs stored directly in th
 The collection is intended for **benchmarking and qualitative/quantitative evaluation** of text-to-audio-video (T2AV) systems. It is not a training dataset. Each item is a model-generated video produced from a prompt defined in `prompts/*.json`.
-Code repository: https://github.com/microsoft/AVGen-Bench
 For Hugging Face Hub compatibility, the repository includes a root-level `metadata.parquet` file so the Dataset Viewer can expose each video as a structured row with prompt metadata instead of treating the repo as an unindexed file dump.
 The relative video path is stored as a plain string column (`video_path`) rather than a media-typed `file_name` column, which avoids current Dataset Viewer post-processing failures on video rows.

 ---
 license: mit
+homepage: https://microsoft.github.io/AVGen-Bench/
 configs:
 - config_name: default
   data_files:
 The collection is intended for **benchmarking and qualitative/quantitative evaluation** of text-to-audio-video (T2AV) systems. It is not a training dataset. Each item is a model-generated video produced from a prompt defined in `prompts/*.json`.
+[![Project Page](https://img.shields.io/badge/Project%20Page-AVGenBench-8dbb3c?style=for-the-badge&labelColor=4c4c4c)](http://aka.ms/avgenbench)
+[![Code Repository](https://img.shields.io/badge/Code%20Repository-GitHub-24292f?style=for-the-badge&logo=github&logoColor=white)](https://github.com/microsoft/AVGen-Bench)
 For Hugging Face Hub compatibility, the repository includes a root-level `metadata.parquet` file so the Dataset Viewer can expose each video as a structured row with prompt metadata instead of treating the repo as an unindexed file dump.
 The relative video path is stored as a plain string column (`video_path`) rather than a media-typed `file_name` column, which avoids current Dataset Viewer post-processing failures on video rows.