dataset quality

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets CVPR 2026 A Computation-Efficient Method of Measuring Dataset Quality based on the Coverage of the Dataset AISTATS 2025 Benchmarking the Benchmarks: Reproducing Climate-Related NLP Tasks ACL 2025 Data Quality Issues in Multilingual Speech Datasets: The Need for Sociolinguistic Awareness and Proactive Language Planning ACL 2025 Evaluating the Quality of Benchmark Datasets for Low-Resource Languages: A Case Study on Turkish ACL 2025 PreSumm: Predicting Summarization Performance Without Summarizing ACL 2025 What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices ACL 2025 WiC Evaluation in Galician and Spanish: Effects of Dataset Quality and Composition EMNLP 2025 Are You Sure? Rank Them Again: Repeated Ranking For Better Preference Datasets EMNLP 2024 BeanCounter: A low-toxicity, large-scale, and open dataset of business-oriented text NeurIPS 2024 Copycats: the many lives of a publicly available medical imaging dataset NeurIPS 2024 Donkii: Characterizing and Detecting Errors in Instruction-Tuning Datasets EACL 2024 Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research EMNLP 2024 The State of Relation Extraction Data Quality: Is Bigger Always Better? ACL 2024 Zero-Shot Reinforcement Learning from Low Quality Data NeurIPS 2024 Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification WACV 2023 Verifying Annotation Agreement without Multiple Experts: A Case Study with Gujarati SNACS ACL 2023 ILDAE: Instance-Level Difficulty Analysis of Evaluation Data ACL 2022 Label Errors in BANKING77 ACL 2022 Questioning the Validity of Summarization Datasets and Improving Their Factual Consistency EMNLP 2022 Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models ACL 2022 Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators’ Disagreement EMNLP 2021 Training Dynamic based data filtering may not work for NLP datasets EMNLP 2021 Corpora Evaluation and System Bias Detection in Multi-document Summarization EMNLP 2020 Intrinsic Evaluation of Summarization Datasets EMNLP 2020