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README.md

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+language:
+- en
+pretty_name: Movie Gen Video Benchmark
 dataset_info:
   features:
   - name: prompt
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   - split: test
     path: data/test-*
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+
+# Dataset Card for the Movie Gen Benchmark
+[Movie Gen](https://ai.meta.com/research/movie-gen/) is a cast of foundation models that generates high-quality, 1080p HD videos with different aspect ratios and synchronized audio. 
+Here, we introduce our evaluation benchmark "Movie Gen Bench Video Bench", as detailed in the [Movie Gen technical report](https://ai.meta.com/static-resource/movie-gen-research-paper) (Section 3.5.2).
+
+To enable fair and easy comparison to Movie Gen for future works on these evaluation benchmarks, we additionally release the non cherry-picked generated videos from Movie Gen on Movie Gen Video Bench.
+
+## Dataset Summary
+Movie Gen Video Bench consists of 1003 prompts that cover all the different testing aspects/concepts:
+
+1. human activity (limb and mouth motion, emotions, etc.)
+2. animals
+3. nature and scenery
+4. physics (fluid dynamics, gravity, acceleration, collisions, explosions, etc.)
+5. unusual subjects and unusual activities.
+Besides a comprehensive coverage of different key testing aspects, the prompts also have a good coverage of high/medium/low motion levels at the same time.
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/604f82d33050a33ebb17ef65/C4Qc-4OdYRI3Oghah7fWv.png)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/604f82d33050a33ebb17ef65/IJY9GUgGGRs5dDGMF2jgs.png)
+
+## Dataset Splits
+We are releasing two versions of the benchmark:
+1. Test (test): This version includes only the prompts, making it easier to download and use the benchmark.
+2. Test with Generations (test_with_generations): This version includes both the prompts and the Movie Gen model’s outputs, allowing for comparative evaluation against the Movie Gen model.
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# to download only the prompts
+dataset = load_dataset("facebook/moviegen_video", split="test")
+print(dataset[0])
+
+# to download the prompts and movie gen generations
+dataset = load_dataset("facebook/moviegen_video", split="test")
+print(dataset[0])
+
+# to display a video and a prompt on jupyter notebook
+import mediapy
+
+example = dataset[0]
+with open("tmp.mp4", "wb") as f:
+    f.write(example["video"])
+
+video = mediapy.read_video("tmp.mp4")
+print(example["prompt"])
+mediapy.show_video(video)
+```
+
+## Licensing Information
+Licensed with [CC-BY-NC](https://github.com/facebookresearch/MovieGenBench/blob/main/LICENSE) License.