{"url":"/dataset/benchmarking-chinese-text-recognition-1","name":"Benchmarking-Chinese-Text-Recognition","full_name":null,"description_markdown":"This repository contains datasets and baselines for benchmarking Chinese text recognition. Please see the corresponding paper for more details regarding the datasets, baselines, the empirical study, etc.\r\n\r\nHighlights\r\n🌟 All datasets are transformed to lmdb format for convenient usage.\r\n\r\n🌟 The experimental results of all baselines are available at link with format (index [pred] [gt]).\r\n\r\n🌟 The code and trained weights of all baselines are available at link for direct use.","description_withheld":null,"homepage":"https://github.com/FudanVI/benchmarking-chinese-text-recognition","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Scene Text Recognition","url":"/task/scene-text-recognition","datasets_with_task":"/datasets/task/scene-text-recognition"}],"languages":[],"variants":["Benchmarking-Chinese-Text-Recognition"],"data_loaders":[],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}