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  ---
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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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- 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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+ # The 100 test-clean clips with the most errors (diffusion-ASR, 4.60% system)
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+
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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.