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  This dataset ships as a single tar at the repo root. Members preserve paths like
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  `EARS/<id>/audio.mp3` and `EARS/<id>/speaker_latent.safetensors`.
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- Quick start (Python):
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- from huggingface_hub import hf_hub_download
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- import runpy
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- loader = runpy.run_path(hf_hub_download('jordand/echo-embeddings-ears-tar', repo_type='dataset', filename='loader.py'))
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- EARS_PATH = loader['ensure_tar_tree']('jordand/echo-embeddings-ears-tar', 'EARS')
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-
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- Minimal index:
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- one JSON object per line in index.jsonl:
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- {"id": "<folder_name>"}
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  Attribution:
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  Contains audio and embeddings derived from the EARS dataset. Distributed under CC BY-NC 4.0; attribution required; commercial use is not permitted.
 
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  This dataset ships as a single tar at the repo root. Members preserve paths like
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  `EARS/<id>/audio.mp3` and `EARS/<id>/speaker_latent.safetensors`.
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+ See loader.py for example loading.
 
 
 
 
 
 
 
 
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  Attribution:
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  Contains audio and embeddings derived from the EARS dataset. Distributed under CC BY-NC 4.0; attribution required; commercial use is not permitted.