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README.md
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---
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license: cc-by-4.0
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task_categories:
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- en
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pretty_name: Diffusion-ASR hardest 100 test-clean clips
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dataset_info:
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features:
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- name: utt_id
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dtype: string
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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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- name: audio
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dtype: audio
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splits:
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- name: train
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num_bytes: 49206956.0
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num_examples: 100
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download_size: 48475078
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dataset_size: 49206956.0
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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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# The 100 test-clean clips with the most errors (diffusion-ASR, 4.60% system)
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Composition (measured): long sentences (median 37 words) dense with rare
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(12.8% out-of-dictionary vs 9.5% corpus-wide); 34 distinct narrators
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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 (with audio)
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---
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# The 100 test-clean clips with the most errors (diffusion-ASR, 4.60% system) - WITH AUDIO
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Listen directly in the viewer: each row carries the LibriSpeech audio (`audio` column),
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the reference (`ref`), what the model wrote (`hyp`), and per-clip error accounting.
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Ranked worst-first (`rank`): these 100 clips (of 2,620) carry 547 errors, 22.4% of the
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system's total. Composition (measured): long sentences (median 37 words) dense with rare
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words and names (12.8% out-of-dictionary vs 9.5% corpus-wide); 34 distinct narrators.
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Full decode set (no audio): [diffusion-asr-testclean-decodes](https://huggingface.co/datasets/Tachyeon/diffusion-asr-testclean-decodes).
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Audio (c) LibriSpeech, Panayotov et al., CC BY 4.0 - redistributed with attribution.
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