gametime-benchmark/gametime-outputs
Gametime Outputs Model outputs (stereo full-duplex mix of user prompt + model response) for the Gametime benchmark. Load from datasets import load_dataset ds = load_dataset("gametime-benchmark/gametime-outputs", "moshi", split="basic") ex = next(iter(ds)) wav = ex["audio"]["array"] # numpy float array, shape=(n, 2) stereo sr = ex["audio"]["sampling_rate"] # int (24000 for most, 48000 for gpt-realtime) print(ex["id"], sr, wav.shape, ex["dataset"])… See the full description on the dataset page: https://huggingface.co/datasets/gametime-benchmark/gametime-outputs.
| Author / organization | gametime-benchmark |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 134 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 22 May 2026 |
| Last updated at source | 12 June 2026 |
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