datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
taiwan-examsMachine-gradable exam benchmarks produced by any-to-bench. Each subset is one
exam: the viewer table shows one row per answerable question (figures embedded);
the raw, byte-faithful bundle lives under <subset>/bundle/ — exam.json
(structured paper), answer_schema.json (strict JSON Schema an answer sheet must
satisfy), grading.json (deterministic rules + judge rubrics), manifest.json
(provenance), and assets/ (figures).
Usage
Benchmark any model against an exam:
a2b download… See the full description on the dataset page: https://huggingface.co/datasets/JacobLinCool/taiwan-exams.Taiwan-Financial
Taiwan Financial Report OCR — block-level (zh-Hant)
Block-level OCR pairs synthesised from Traditional-Chinese (zh-Hant) Taiwan
listed-company financial reports. Each row is one cropped layout region with
its block type and the vision-LLM transcription — including raw OTSL
for tables.
194,314 rows from 138 financial reports (合併財報, IFRS consolidated, type AI1)
15 companies across major industries, 2021–2023, all four quarters
Source: 公開資訊觀測站 / MOPS (doc.twse.com.tw) — public… See the full description on the dataset page: https://huggingface.co/datasets/andynoodles/Taiwan-Financial.Taiwan-JudicialYuanPublication
司法周刊 Judicial Weekly OCR — block-level (zh-Hant, vertical text)
Block-level OCR pairs synthesised from scanned issues of 司法周刊 (Judicial
Weekly), the official weekly newspaper of Taiwan's Judicial Yuan (司法院).
Each row is one cropped layout region with its block type and the
vision-LLM transcription.
104,938 rows from 1,506 scanned pages (one PDF per 版-group, 期1–756)
Complete scan era 1981–1995 (民國70–84), ~100 issues per year, every year covered
Vertical Traditional Chinese (直書):… See the full description on the dataset page: https://huggingface.co/datasets/andynoodles/Taiwan-JudicialYuanPublication.Taiwan-black-bear-yolo
台灣黑熊偵測資料集 | Taiwan Black Bear Detection Dataset
🐻 用 AI 守護台灣國寶 🇹🇼
📖 資料集簡介
本資料集包含 18,112 張影像，專門用於訓練 台灣黑熊（學名：Ursus thibetanus formosanus）的物件偵測模型。所有標註均採用 YOLO 格式，可直接用於 YOLOv5、YOLOv8 等主流物件偵測框架。
🎯 核心特色
🌍 語言: 不適用（電腦視覺資料集）
📋 任務類型: 物件偵測（Object Detection）
🐾 應用領域: 野生動物保育、瀕危物種監測
💾 標註格式: YOLO v5/v8 相容格式
📊 類別數量: 1 類（台灣黑熊）
✨ 支援的應用場景
🔍 物件偵測: 在影像中偵測並定位台灣黑熊
📹 野外監測: 自動化野生動物追蹤與監控
🌲 保育研究: 支援瀕危物種保護工作
🚨 預警系統: 人熊衝突預防與警示
📊 資料集結構… See the full description on the dataset page: https://huggingface.co/datasets/alix2t7/Taiwan-black-bear-yolo.Taiwan-LegislativeYuanPublication
立法院公報 Legislative Yuan Gazette OCR — block-level (zh-Hant)
Block-level OCR pairs synthesised from scanned issues of the 立法院公報
(Legislative Yuan Official Gazette) of Taiwan, plus the 國民政府時期立法院公報
(Nationalist-government era, 1928–1943). Each row is one cropped layout region
with its block type and the vision-LLM transcription — including raw
OTSL for tables.
802,175 rows from 62,418 pages / 446 gazette volumes (冊)
Letterpress & typewriter scans, spanning 卷40–98 (1951–2009) evenly… See the full description on the dataset page: https://huggingface.co/datasets/andynoodles/Taiwan-LegislativeYuanPublication.TaiwanVQA
TaiwanVQA: Benchmarking and Enhancing Cultural Understanding in Vision-Language Models
Dataset Summary
TaiwanVQA is a visual question answering (VQA) benchmark designed to evaluate the capability of vision-language models (VLMs) in recognizing and reasoning about culturally specific content related to Taiwan. This dataset contains 2,736 images captured by our team, paired with 5,472 manually designed questions that cover diverse topics from daily life in Taiwan… See the full description on the dataset page: https://huggingface.co/datasets/hhhuang/TaiwanVQA.taiwan-license-plate-recognitiontaiwan-professional-exams-115-2Machine-gradable exam benchmarks produced by any-to-bench. Each subset is one
exam: the viewer table shows one row per answerable question (figures embedded);
the raw, byte-faithful bundle lives under <subset>/bundle/ — exam.json
(structured paper), answer_schema.json (strict JSON Schema an answer sheet must
satisfy), grading.json (deterministic rules + judge rubrics), manifest.json
(provenance), and assets/ (figures).
Usage
Benchmark any model against an exam:
a2b download… See the full description on the dataset page: https://huggingface.co/datasets/skyhong2002/taiwan-professional-exams-115-2.taiwan-dtm-2025-terrarium-z13
2025 年版全臺灣 20 m DTM — Terrarium z13
這個 Dataset 將內政部公開的 2025 年版全臺灣 20 公尺網格數值地形模型（DTM）轉為 ShadeMap 可直接讀取的 Terrarium RGB XYZ tiles。
官方資料來源：https://data.gov.tw/dataset/176927
原始資料授權：政府資料開放授權條款－第 1 版。本 repository 為衍生格式，請保留官方來源與授權資訊。
內容
terrain/13/{x}/{y}.png：256×256 RGB PNG，XYZ / Web Mercator tile addressing。
tile-index.csv：每張 tile 的區域、有效像素比例、來源高程範圍與 Terrarium 量化誤差。
build-summary.json：建置摘要。
source-manifest.json：原始 ZIP/TIFF SHA-256、解析度、範圍與 CRS 決策。… See the full description on the dataset page: https://huggingface.co/datasets/yhzkiki/taiwan-dtm-2025-terrarium-z13.Taiwan-VQA-Train-Messagestaiwan-license-plate-detectionTaiwan-UrbanPlan
台灣都市計畫書 OCR — block-level (zh-Hant)
Block-level OCR pairs synthesised from scanned Taiwanese urban-plan books
(都市計畫書) published by county governments. Each row is one cropped layout
region with its block type and the vision-LLM transcription — including
raw OTSL for tables.
119,735 rows from 15,954 pages / 318 plan books (計畫書 + some 計畫圖)
36 urban-planning districts (都計區) in 屏東縣 (Pingtung) and 嘉義市 (Chiayi
City), plan dates spanning 民國40年代–110年代 (1950s–2020s)
Mostly… See the full description on the dataset page: https://huggingface.co/datasets/andynoodles/Taiwan-UrbanPlan.Vision-Taiwan-595ktaiwanSpiders
Dataset Card for "taiwanSpiders"
More Information needed
TaiwanVarietyShowtaiwan-national-examsMachine-gradable exam benchmarks produced by any-to-bench. Each subset is one
exam: the viewer table shows one row per answerable question (figures embedded);
the raw, byte-faithful bundle lives under <subset>/bundle/ — exam.json
(structured paper), answer_schema.json (strict JSON Schema an answer sheet must
satisfy), grading.json (deterministic rules + judge rubrics), manifest.json
(provenance), assets/ (figures), and, when present, resources/ (the public
solver corpus). The entire resource… See the full description on the dataset page: https://huggingface.co/datasets/JacobLinCool/taiwan-national-exams.taiwanSpiders1000TaiwanChat將yentinglin/TaiwanChat資料集重新整理後的版本
主要是將資料集中出現的<image>字串改成<img>，否則在使用LLama-factory訓練時會被誤以為是多模態資料集而出錯
所有權皆歸yentinglin所有，更多詳細資訊請參考yentinglin/TaiwanChat
Mr.Porter.Product.prices.Taiwan
Mr Porter web scraped data
About the website
The Ecommerce industry in Asia Pacific, particularly in Taiwan, has been burgeoning due to increased internet penetration and growing consumer trust in online transactions. The industry encompasses various businesses, including fashion retailers like Mr Porter. Recognized for its upscale menswear, Mr Porter has carved a good standing in the online shopping landscape of Taiwan. The observed dataset specifically covers Ecommerce… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Mr.Porter.Product.prices.Taiwan.taiwan-examsMachine-gradable exam benchmarks produced by any-to-bench. Each subset is one
exam: the viewer table shows one row per answerable question (figures embedded);
the raw, byte-faithful bundle lives under <subset>/bundle/ — exam.json
(structured paper), answer_schema.json (strict JSON Schema an answer sheet must
satisfy), grading.json (deterministic rules + judge rubrics), manifest.json
(provenance), and assets/ (figures).
Usage
Benchmark any model against an exam:
a2b download… See the full description on the dataset page: https://huggingface.co/datasets/TakalaWang/taiwan-exams.TaiwanVQA
TaiwanVQA: Benchmarking and Enhancing Cultural Understanding in Vision-Language Models
Dataset Summary
TaiwanVQA is a visual question answering (VQA) benchmark designed to evaluate the capability of vision-language models (VLMs) in recognizing and reasoning about culturally specific content related to Taiwan. This dataset contains 2,736 images captured by our team, paired with 5,472 manually designed questions that cover diverse topics from daily life in Taiwan… See the full description on the dataset page: https://huggingface.co/datasets/hhhsdsdh123/TaiwanVQA.taiwan-license-plate-detectiontaiwan-license-plate-recognitiontaiwan-license-plate-detection