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README.md
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---
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- name: speaker
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dtype: string
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- name: ref
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dtype: string
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- name: hyp
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dtype: string
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- name: n_ref_words
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dtype: int64
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- name: n_errors
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dtype: int64
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- name: wer_pct
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dtype: float64
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- name: n_substitutions
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dtype: int64
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- name: n_deletions
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dtype: int64
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- name: n_insertions
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dtype: int64
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- name: substitution_pairs
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dtype: string
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- name: error_classes
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dtype: string
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- name: rank
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dtype: int64
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splits:
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- name: train
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num_bytes: 70775
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num_examples: 100
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download_size: 50678
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dataset_size: 70775
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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---
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license: cc-by-4.0
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task_categories: [automatic-speech-recognition]
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language: [en]
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pretty_name: Diffusion-ASR hardest 100 test-clean clips
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---
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# The 100 test-clean clips with the most errors (diffusion-ASR, 4.60% system)
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The 100 clips (of 2,620) carrying the most word errors - 547 errors, 22.4% of the
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system's total - ranked worst-first (`rank` column). Same columns as
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[the full dataset](https://huggingface.co/datasets/Tachyeon/diffusion-asr-testclean-decodes).
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Composition (measured): long sentences (median 37 words) dense with rare words and names
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(12.8% out-of-dictionary vs 9.5% corpus-wide); 34 distinct narrators, so not a narrator
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artifact. Join `utt_id` against LibriSpeech test-clean (CC BY 4.0) for audio.
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