datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.error-detection-negatives
error-detection-negatives
This dataset is part of the PARC (Premise-Annotated Reasoning Collection) and contains mathematical reasoning problems with error annotations. This dataset combines negatives samples from multiple domains.
Domain Breakdown
gsm8k: 57 samples
math: 44 samples
metamathqa: 59 samples
orca_math: 54 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-negatives.