Duplicate from chuonghm/ACM

Co-authored-by: Chuong Huynh <chuonghm@users.noreply.huggingface.co>

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.avro filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
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+*.lfs.* filter=lfs diff=lfs merge=lfs -text
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+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
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+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
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+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp 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

README.md

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+---
+license: mit
+task_categories:
+- audio-classification
+- image-to-text
+- text-to-audio
+- audio-to-audio
+language:
+- en
+pretty_name: Audio-Centric Multimodal Benchmark
+configs:
+- config_name: composed_audio_retrieval_queries
+  data_files:
+  - split: test
+    path: data/composed_audio_retrieval/queries/*.parquet
+- config_name: composed_audio_retrieval_candidates
+  data_files:
+  - split: test
+    path: data/composed_audio_retrieval/candidates/*.parquet
+- config_name: audio_visual_queries
+  data_files:
+  - split: test
+    path: data/audio_visual/queries/*.parquet
+- config_name: audio_visual_candidates
+  data_files:
+  - split: test
+    path: data/audio_visual/candidates/*.parquet
+---
+
+# Audio-Centric Multimodal Benchmark (ACM)
+
+This dataset packages the ACM benchmark introduced by
+[Efficient and High-Fidelity Omni Modality Retrieval](https://hmchuong.github.io/omniret/).
+The paper is available at [arXiv:2603.02098](https://arxiv.org/abs/2603.02098).
+Dataset repo: `chuonghm/ACM`
+
+
+ACM contains four HuggingFace subsets. Each subset uses a single `test` split
+so query and candidate tables can keep their natural schemas:
+
+- `composed_audio_retrieval_queries`: flattened AT2A query rows.
+- `composed_audio_retrieval_candidates`: AT2A audio candidate pool.
+- `audio_visual_queries`: paired audio-visual query IDs.
+- `audio_visual_candidates`: audio/video/image candidate pool.
+
+## Files
+
+- `data/composed_audio_retrieval/queries/*.parquet`: 4,251 flattened AT2A query
+  rows with source audio, target audio, modification text, and captions.
+- `data/composed_audio_retrieval/candidates/*.parquet`: 5,480 audio candidates.
+- `data/audio_visual/queries/*.parquet`: 1,292 paired audio-visual query IDs.
+- `data/audio_visual/candidates/*.parquet`: 5,480 audio/video/image candidates.
+- Optional `media.zip`: a single archive holding every raw media file
+  (`media/audios/*.wav`, `media/videos/*.mp4`, `media/images/*.jpg`), uploaded
+  with `--upload-media`. Download and unzip it (it restores the `media/`
+  folder) to resolve the `*_path` columns. It is shipped as one archive rather
+  than tens of thousands of loose files so the Dataset Viewer can build.
+
+## Loading
+
+```python
+from datasets import load_dataset
+
+at2a_queries = load_dataset(
+    "chuonghm/ACM",
+    "composed_audio_retrieval_queries",
+    split="test",
+)
+at2a_candidates = load_dataset(
+    "chuonghm/ACM",
+    "composed_audio_retrieval_candidates",
+    split="test",
+)
+audio_visual_queries = load_dataset(
+    "chuonghm/ACM",
+    "audio_visual_queries",
+    split="test",
+)
+audio_visual_candidates = load_dataset(
+    "chuonghm/ACM",
+    "audio_visual_candidates",
+    split="test",
+)
+```
+
+The first preview rows in each split embed HuggingFace `Audio`, `Image`, and
+`Video` bytes so the Dataset Viewer can render playable audio, images, and
+videos without duplicating every media file inside Parquet. Later rows keep
+empty media cells and provide `*_path` columns. Download `media.zip` and unzip
+it (it restores the `media/` folder) to resolve those paths to real files.
+
+## License and Source Data
+
+The ACM text information and benchmark metadata in this repository are released
+under the MIT license.
+
+The media files are derived from VGG-Sound and remain subject to the
+VGG-Sound/source-video terms. The original media source is
+[Loie/VGGSound](https://huggingface.co/datasets/Loie/VGGSound), which mirrors
+the [VGG-Sound dataset](https://www.robots.ox.ac.uk/~vgg/data/vggsound/)
+introduced in the [VGG-Sound paper](https://arxiv.org/abs/2004.14368).
+
+## Citation
+
+```bibtex
+@article{huynh2026omniret,
+  title     = {Efficient and High-Fidelity Omni Modality Retrieval},
+  author    = {Huynh, Chuong and Luong, Manh and Shrivastava},
+  journal   = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+  year      = {2026}
+}
+```
+
+## Notes
+
+The paper/project page should be cited when using this benchmark. Media source
+files are derived from VGG-Sound. The text information and benchmark metadata
+are released under MIT, while media follows the VGG-Sound/source-video terms.
+See the original HuggingFace dataset source
+[Loie/VGGSound](https://huggingface.co/datasets/Loie/VGGSound), the
+[VGG-Sound homepage](https://www.robots.ox.ac.uk/~vgg/data/vggsound/), and
+the [VGG-Sound paper](https://arxiv.org/abs/2004.14368).

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dataset_summary.json

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+{
+  "name": "Audio-Centric Multimodal Benchmark (ACM)",
+  "project_url": "https://hmchuong.github.io/omniret/",
+  "paper_url": "https://arxiv.org/abs/2603.02098",
+  "original_media_source": "https://huggingface.co/datasets/Loie/VGGSound",
+  "text_metadata_license": "MIT",
+  "media_license_note": "Media follows VGG-Sound/source-video terms.",
+  "subsets": {
+    "composed_audio_retrieval_queries": {
+      "test": 4251,
+      "aka": "AT2A queries"
+    },
+    "composed_audio_retrieval_candidates": {
+      "test": 5480,
+      "aka": "AT2A candidates"
+    },
+    "audio_visual_queries": {
+      "test": 1292,
+      "supported_directions": [
+        "A->V",
+        "V->A",
+        "A->I",
+        "I->A"
+      ]
+    },
+    "audio_visual_candidates": {
+      "test": 5480,
+      "supported_directions": [
+        "A->V",
+        "V->A",
+        "A->I",
+        "I->A"
+      ]
+    }
+  }
+}

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