Limitless063/Lat
收藏Hugging Face2025-12-24 更新2026-03-29 收录
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https://hf-mirror.com/datasets/Limitless063/Lat
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资源简介：
---
license: apache-2.0
dataset_info:
- config_name: benchmark_complex
features:
- name: image
dtype: image
- name: latex_formula
dtype: string
- name: category
dtype: string
splits:
- name: train
num_bytes: 282311126.0
num_examples: 5000
download_size: 279828230
dataset_size: 282311126.0
- config_name: benchmark_matrix
features:
- name: image
dtype: image
- name: latex_formula
dtype: string
- name: category
dtype: string
splits:
- name: train
num_bytes: 170939510.5
num_examples: 4188
download_size: 169275462
dataset_size: 170939510.5
- config_name: benchmark_ordinary
features:
- name: image
dtype: image
- name: latex_formula
dtype: string
- name: category
dtype: string
splits:
- name: train
num_bytes: 58214022.0
num_examples: 5000
download_size: 57877559
dataset_size: 58214022.0
- config_name: benchmark_sample
features:
- name: image
dtype: image
- name: latex_formula
dtype: string
- name: category
dtype: string
splits:
- name: train
num_bytes: 34419755.0
num_examples: 5000
download_size: 34298656
dataset_size: 34419755.0
- config_name: benchmark_symbol
features:
- name: image
dtype: image
- name: latex_formula
dtype: string
- name: category
dtype: string
splits:
- name: train
num_bytes: 2607968.0
num_examples: 5000
download_size: 2603058
dataset_size: 2607968.0
- config_name: benchmark_text_hybrid
features:
- name: image
dtype: image
- name: latex_formula
dtype: string
- name: category
dtype: string
splits:
- name: train
num_bytes: 80552482.0
num_examples: 5000
download_size: 80349528
dataset_size: 80552482.0
- config_name: en
features:
- name: image
dtype: image
- name: latex_formula
dtype: string
- name: category
dtype: string
splits:
- name: train
num_bytes: 598399572.9993577
num_examples: 72350
download_size: 504986706
dataset_size: 598399572.9993577
- config_name: handwritten_nature
features:
- name: image
dtype: image
- name: latex_formula
dtype: string
- name: category
dtype: string
splits:
- name: train
num_bytes: 511641864.031384
num_examples: 45956
download_size: 519076937
dataset_size: 511641864.031384
- config_name: handwritten_online
features:
- name: image
dtype: image
- name: latex_formula
dtype: string
- name: category
dtype: string
splits:
- name: train
num_bytes: 462501035.7377783
num_examples: 8349
download_size: 414681282
dataset_size: 462501035.7377783
- config_name: zh
features:
- name: image
dtype: image
- name: latex_formula
dtype: string
- name: category
dtype: string
splits:
- name: train
num_bytes: 525770211.0879239
num_examples: 45955
download_size: 517162915
dataset_size: 525770211.0879239
configs:
- config_name: benchmark_complex
data_files:
- split: train
path: benchmark_complex/train-*
- config_name: benchmark_matrix
data_files:
- split: train
path: benchmark_matrix/train-*
- config_name: benchmark_ordinary
data_files:
- split: train
path: benchmark_ordinary/train-*
- config_name: benchmark_sample
data_files:
- split: train
path: benchmark_sample/train-*
- config_name: benchmark_symbol
data_files:
- split: train
path: benchmark_symbol/train-*
- config_name: benchmark_text_hybrid
data_files:
- split: train
path: benchmark_text_hybrid/train-*
- config_name: en
data_files:
- split: train
path: en/en_*/train-*
# - config_name: en
# data_files:
# - split: train
# path: [
# "en/en_11*/train-00000-of-00002.parquet",
# "en/en_31*/train-00000-of-00002.parquet",
# "en/en_51*/train-00000-of-00002.parquet",
# "en/en_71*/train-00000-of-00002.parquet",
# "en/en_91*/train-00000-of-00002.parquet"
# ]
- config_name: handwritten_nature
data_files:
- split: train
path: handwritten_nature_dataset/handwritten_nature_dataset_*/train-*
- config_name: handwritten_online
data_files:
- split: train
path: handwritten_online/handwritten_online_*/train-*
- config_name: zh
data_files:
- split: train
path: zh/zh_*/train-*
---
For more details, please refer to the [𝐓𝐞𝐱𝐓𝐞𝐥𝐥𝐞𝐫 GitHub repository](https://github.com/OleehyO/TexTeller?tab=readme-ov-file).
- **IMPORTANT NOTE!!!** The handwritten subset of this dataset was collected entirely from existing open source work, which includes all test sets. If you want to use this subset for your experimental ablation, please filter it yourself based on the latex label of the test set
提供机构：
Limitless063
