error-detection
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.instruction-error-detection-en-id
instruction-error-detection-en-id
Description
instruction-error-detection-en-id is a bilingual benchmark dataset for detecting, explaining, and correcting flawed or ambiguous instructions.
The dataset focuses on instruction robustness by introducing graded difficulty levels and partially incorrect instructions. It is designed to evaluate how well models can reason about contradictions, ambiguities, and incomplete constraints before responding.
Dataset Fields… See the full description on the dataset page: https://huggingface.co/datasets/YosepMulia/instruction-error-detection-en-id.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.salient_translation_error_detection_preprocessed
Dataset Card for "salient_translation_error_detection_preprocessed"
More Information needed
nepali_grammatical_error_detectionREALEC_GED_binary_error-detection