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error-detection

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All datasets matching “error-detection”
google /red_ace_asr_error_detection_and_correction RED-ACE Dataset Summary This dataset can be used to train and evaluate ASR Error Detection or Correction models. It was introduced in the RED-ACE paper (Gekhman et al, 2022). The dataset contains ASR outputs on the LibriSpeech corpus (Panayotov et al., 2015) with annotated transcription errors. Dataset Details The LibriSpeech corpus was decoded using Google Cloud Speech-to-Text API, with the default and video models. The word-level confidence was enabled… See the full description on the dataset page: https://huggingface.co/datasets/google/red_ace_asr_error_detection_and_correction.textautomatic-speech-recognition100K<n<1M6 likes80 downloads3y agoHugging FaceZlovoblachko /REALEC_GED_binary_error-detectiontext10K<n<100K0 likes26 downloads2y agoHugging FacePARC-DATASETS /error-detection-positives error-detection-positives This dataset is part of the PARC (Premise-Annotated Reasoning Collection) and contains mathematical reasoning problems with error annotations. This dataset combines positives samples from multiple domains. Domain Breakdown gsm8k: 50 samples math: 53 samples metamathqa: 93 samples orca_math: 96 samples Features Each example contains: data_source: The domain/source of the problem (gsm8k, math, metamathqa, orca_math) question: The… See the full description on the dataset page: https://huggingface.co/datasets/PARC-DATASETS/error-detection-positives.texttext-generationn<1K0 likes20 downloads1y agoHugging Faceskrishna /salient_translation_error_detection_preprocessed Dataset Card for "salient_translation_error_detection_preprocessed" More Information needed textn<1K0 likes16 downloads3y agoHugging FacePARC-DATASETS /error-detection-positives_perturbed error-detection-positives_perturbed This dataset is part of the PARC (Premise-Annotated Reasoning Collection) and contains mathematical reasoning problems with error annotations. This dataset combines positives_perturbed samples from multiple domains. Domain Breakdown gsm8k: 48 samples math: 42 samples metamathqa: 72 samples orca_math: 85 samples Features Each example contains: data_source: The domain/source of the problem (gsm8k, math, metamathqa… See the full description on the dataset page: https://huggingface.co/datasets/PARC-DATASETS/error-detection-positives_perturbed.texttext-generationn<1K0 likes16 downloads1y agoHugging Facezerostratos /error_detection_math100 likes15 downloads10mo agoHugging Face