Datasets:
Add MTEB SpeechEdit Acoustic metadata and README
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README.md
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num_bytes: 270878265
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num_examples: 500
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download_size: 270899291
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dataset_size: 270878265
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- config_name: qrels
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features:
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- name: query-id
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dtype: string
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- name: corpus-id
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dtype: string
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- name: score
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dtype: int32
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splits:
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- name: test
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num_bytes: 61100
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num_examples: 500
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download_size: 14953
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dataset_size: 61100
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- config_name: queries
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features:
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- name: id
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dtype: string
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- name: audio
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dtype: audio
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- name: text
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dtype: string
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splits:
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- name: test
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num_bytes: 270898966
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num_examples: 500
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download_size: 270903141
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dataset_size: 270898966
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configs:
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- config_name: corpus
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data_files:
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- split: test
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path: qrels/test-*
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- config_name: queries
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data_files:
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path: queries/test-*
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license: cc-by-4.0
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language:
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- en
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task_categories:
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- audio-to-audio
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tags:
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- mteb
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- audio-retrieval
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- composed-retrieval
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configs:
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- config_name: queries
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data_files:
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- split: test
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path: queries/test-*
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- config_name: corpus
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data_files:
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- split: test
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data_files:
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- split: test
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path: qrels/test-*
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---
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# SpeechEdit Acoustic Retrieval Dataset
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This dataset is an MTEB-formatted Any-to-Any (AT2A) composed audio retrieval adaptation of the `acoustic_editing` subset of [`DiscreteSpeech/SpeechEditBench`](https://huggingface.co/datasets/DiscreteSpeech/SpeechEditBench).
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Each query combines an original/source speech recording with a natural-language editing instruction, and the corpus contains the corresponding edited target speech recordings.
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## Schema
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- **queries**: `id` (string), `audio` (source audio), and `text` (edit instruction)
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- **corpus**: `id` (string) and `audio` (edited target)
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- **qrels**: `query-id` (string), `corpus-id` (string), and binary `score` (int32)
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