Datasets:
images images listlengths 1 4 | source stringclasses 156
values | relevance_ratings listlengths 1 30 | relevance_min int64 1 5 | visual_dependency_ratings listlengths 1 30 | visual_dependency_min int64 1 5 | image_correspondence_ratings listlengths 1 30 | image_correspondence_min int64 1 5 | formatting_ratings listlengths 1 30 | formatting_min int64 1 5 | texts listlengths 1 30 | reasoning listlengths 1 30 | language stringclasses 21
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
CoSyn-400k-chart | [
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{
"user": "Màu sắc được sử dụng trong hình tròn là gì?",
"assistant": "Hình tròn được tô màu Ecru từ bảng màu của Romero, được chỉ ra bởi cả ngoại hình trực quan và văn bản bên trong hình tròn.\nĐáp án: Ecru"
},
{
"user": "Thông tin nào được hiển thị ở đầu hình vẽ?",
"assistant": "Phía trên của ... | [
"Hình tròn lớn ở trung tâm có màu kem nhạt và chứa từ 'Ecru' ở chính giữa.",
"Phần trên cùng của hình ảnh có tiêu đề bằng tiếng Anh: 'Color Palette in Vicente Romero’s Artworks'.",
"Dưới cùng của hình ảnh có dòng chữ 'All Palettes', và màu sắc nổi bật nhất trong toàn bộ bố cục là Ecru.",
"Từ 'Ecru' được đặt ở... | vi-VN | |
CoSyn-400k-chart | [
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{
"user": "哪场战争在医学发现后战场死亡率下降幅度最大？",
"assistant": "要确定下降幅度最大的一场，我们需要将每场战争的“发现前死亡率”减去“发现后死亡率”，并找到最大值。克里米亚战争的下降幅度为 16.0 - 2.0 = 14.0 个百分点。\n答案：克里米亚战争 (1853-1856)"
},
{
"user": "哪场战争的发现后死亡率为 1.5%？",
"assistant": "我们需要查看“发现后死亡率（%）”列，并将 1.5% 的数值与对应的战争进行匹配。越南战争的发现后死亡率为 1.5%。\n答案：越南战争 (1955-1975)"
},
... | [
"图表显示克里米亚战争（Crimean War）的“发现前”柱状图高度约为 16%，而“发现后”柱状图高度约为 2%，两者的差距在所有战争中是最大的。其他战争的柱状图高度差异明显较小。",
"在图表的最右侧区域，越南战争（Vietnam War）对应的绿色柱状图（代表“发现后”）高度位于 1% 到 2% 之间，约为 1.5% 的水平。",
"美国内战（American Civil War）的褐色柱状图（代表“发现前”）高度为 14%，而第二次世界大战（World War II）的褐色柱状图高度为 4.5%。计算两者差异：14.0 - 4.5 = 9.5。",
"图表最右端的阿富汗战争（Afghanistan Wa... | zh-CN | |
CoSyn-400k-chart | [
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{
"user": "What's the title of the figure?",
"assistant": "The title is usually located at the top of the figure. Here, the title is displayed centrally and given in large, bold font.\nAnswer: Cybersecurity Vulnerability Assessment"
},
{
"user": "How many unique vulnerabilities were assessed in the ... | [
"At the very top of the image, centered horizontally, is a large title in a sans-serif font that reads 'Cybersecurity Vulnerability Assessment'.",
"The image contains a scatter plot (volcano plot) where multiple data points are distributed across the grid. Counting these individual markers reveals 15 unique point... | en-US | |
CoSyn-400k-chart | [
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{
"user": "ชื่อเรื่องหลักของกราฟคืออะไร?",
"assistant": "ชื่อเรื่องหลักของกราฟวางอยู่ด้านบนและมักเป็นข้อความที่ใหญ่ที่สุดในรูปภาพ เมื่ออ่านโดยตรงจะเห็นว่าเป็น \"Steel Production and Safety Correlation (2018-2022)\""
},
{
"user": "จำนวนอุบัติเหตุความปลอดภัยของคนงานสำหรับ ArcelorMittal ในปี 2020 และ 2... | [
"ข้อความที่ใหญ่ที่สุดและอยู่ด้านบนสุดของภาพคือ \"Steel Production and Safety Correlation (2018-2022)\" ซึ่งทำหน้าที่เป็นชื่อเรื่องหลัก",
"จากกราฟ Worker Safety Incidents ในปี 2020 จุดข้อมูลของ ArcelorMittal (พื้นที่สีฟ้า) อยู่ที่ระดับ 100 และในปี 2021 อยู่ที่ระดับ 105 การรวมค่าทั้งสองเข้าด้วยกันจะได้ 205",
"ในก... | th-TH | |
CoSyn-400k-chart | [
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{
"user": "Apa aroma aromaterapi paling populer yang digunakan dalam sesi pijat?",
"assistant": "Melihat bagan tersebut, aroma dengan potongan terbesar dan persentase tertinggi dapat dengan mudah diidentifikasi sebagai Lavender."
},
{
"user": "Aroma mana saja yang memiliki persentase penggunaan di b... | [
"Grafik lingkaran menunjukkan bahwa Lavender memiliki bagian terbesar dengan label persentase 22,0%.",
"Berdasarkan label pada grafik, Sandalwood adalah 8,0%, Lemongrass adalah 6,0%, Frankincense adalah 5,0%, Chamomile adalah 3,0% (berdasarkan teks kecil di atas Bergamot), Bergamot adalah 8,0% (namun teks di gamb... | id-ID | |
CoSyn-400k-chart | [
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{
"user": "Apakah tajuk plot tersebut?",
"assistant": "Tajuk plot dipaparkan dengan jelas di bahagian atas carta, yang memberikan penerangan jelas tentang apa yang berkaitan dengan carta tersebut.\nJawapan: Voter Turnout by Age Group in Missouri (1972-2020)"
},
{
"user": "Kumpulan umur manakah yang ... | [
"Tajuk carta terletak di bahagian tengah atas dalam teks berwarna ungu yang besar dan jelas.",
"Kumpulan umur 60+ diwakili oleh warna jingga paling muda di bahagian paling atas carta bertumpuk, menunjukkan peratusan tertinggi dalam jumlah pengundi.",
"Kumpulan umur 18-29 diwakili oleh warna coklat di bahagian b... | ms-MY | |
CoSyn-400k-chart | [
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{
"user": "Ano ang pamagat ng figure?",
"assistant": "Ang pamagat ng figure ay nakasaad sa itaas at binabasa bilang 'Frequency of Danish Surnames (1800s to Present)'."
},
{
"user": "Aling apelyido ang nagpapakita ng pinakamataas na dalasalin sa dekadang 2010-2019?",
"assistant": "Hanapin ang mga... | [
"Ang pinakamalaking teksto sa itaas na bahagi ng imahe ay 'Frequency of Danish Surnames (1800s to Present)'.",
"Sa bawat subplot, ang huling data point para sa dekadang 2010-2019 ay may katumbas na halaga. Para sa Nielsen, ang halaga ay 190. Para sa Jensen, ang halaga ay 190. Ang mga ito ang pinakamataas na halag... | fil-PH | |
CoSyn-400k-chart | [
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{
"user": "パレート図のタイトルは何ですか？",
"assistant": "タイトルは図の上部に表示されており、「Major Challenges Facing Women Politicians in Africa」となっています。"
},
{
"user": "どの課題が最も高い頻度を持っていますか？",
"assistant": "図の中で最も高い棒を確認すると、「Gender-based discrimination」が最も高い頻度を持っていることがわかります。"
},
{
"user": "頻度が50を超える課題は何個ありますか？",
"a... | [
"図の最上部には、紫色の太字で「Major Challenges Facing Women Politicians in Africa」というテキストが中央に配置されています。",
"x軸の最初の項目である「Gender-based discrimination」に対応するピンク色の棒が、グラフ内で最も高く、左側の頻度軸で80を超えていることが確認できます。",
"左側の頻度軸（Frequency）の50のラインを基準に、それより高い位置にある棒を数えると、最初の5つの項目が該当します。",
"x軸の6番目の項目「Violence and intimidation」の真上にある折れ線グラフの点は、右側の累積パーセ... | ja-JP | |
CoSyn-400k-chart | [
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{
"user": "តើចំណងជើងនៃដ្យាក្រាមគឺជាអ្វី?",
"assistant": "ចំណងជើងស្ថិតនៅផ្នែកខាងលើនៃដ្យាក្រាម ហើយផ្តល់ជាការសង្ខេបនៃទិន្នន័យដែលបង្ហាញ។\nចម្លើយ៖ Fan Engagement Levels Across Social Media Platforms"
},
{
"user": "តើបណ្ដាញណាមានកម្រិតការចូលរួមខ្ពស់បំផុត?",
"assistant": "តាមរយៈការពិនិត្យមើលផ្នែកខាងលើនៃ... | [
"អត្ថបទដែលធំជាងគេនៅផ្នែកខាងលើនៃរូបភាពបង្ហាញថា « Fan Engagement Levels Across Social Media Platforms »។",
"ផ្នែកខាងលើបំផុតនៃរង្វង់កោសិកាមានពណ៌ស្វាយ និងបង្ហាញឈ្មោះ « Instagram » ជាមួយលេខ ១,២៥០,០០០ ដែលជាតម្លៃខ្ពស់បំផុតក្នុងចំណោមតម្លៃទាំងអស់។",
"រង្វង់កោសិកាត្រូវបានបែងចែកជាប្លុកពណ៌ខុសគ្នាចំនួន ៦ ប្លុក ដែលreprésente... | km-KH | |
CoSyn-400k-chart | [
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{
"user": "ຫົວຂໍ້ຂອງຮູບແມ່ນຫຍັງ?",
"assistant": "ຫົວຂໍ້ຂອງຮູບແມ່ນສະແດງຢູ່ທາງລຸ່ມກາງຂອງແຜນພະລັງ. ມັນຖືກຂຽນດ້ວຍຕົວອັກສອນທີ່ມີຂະໜາດໃຫຍ່ ແລະ ໜາ ເຊິ່ງເຮັດໃຫ້ສັງເກດໄດ້ງ່າຍ. \n\nຄຳຕອບ: Regional Consumer Demand for Premium Products"
},
{
"user": "ເຂດໃດມີດັດຊະນີຄວາມຕ້ອງການຂອງຜູ້ບໍລິໂພກສູງສຸດ?",
"assistan... | [
"ຫົວຂໍ້ຂອງແຜນພະລັງແມ່ນ 'Regional Consumer Demand for Premium Products' ໂດຍສະແດງຢູ່ສ່ວນເທິງສຸດຂອງຮູບພາບ.",
"ໂດຍການສັງເກດຂະໜາດຂອງວົງມົນໃນແຜນພະລັງ, ວົງມົນຢູ່ New York ມີຂະໜາດໃຫຍ່ທີ່ສຸດ ເຊິ່ງສະແດງເຖິງດັດຊະນີຄວາມຕ້ອງການຂອງຜູ້ບໍລິໂພກທີ່ສູງທີ່ສຸດ.",
"ວົງມົນທີ່ເມືອງ Miami ມີສີບົວອ່ອນ, ເຊິ່ງສອດຄ່ອງກັບ 'Premium Cosmetics... | lo-LA | |
CoSyn-400k-chart | [
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{
"user": "ပမplot ၏ ခေါင်းစဉ်မှာ အဘယ်နည်း။",
"assistant": "ခေါင်းစဉ်မှာ \"Breakdown of Optimization Problem Types Solved by Graph Coloring Techniques\" ဖြစ်ပါသည်။"
},
{
"user": "Sunburst Plot တွင် အဓိက ကဏ္ဍမည်မျှ ပါဝင်ပါသနည်း။",
"assistant": "အဓိက ကဏ္ဍနှစ်ခုရှိပါသည်။ ၎င်းတို့မှာ \"Graph Coloring... | [
"ပုံ၏ အပေါ်ဆုံးတွင် \"Breakdown of Optimization Problem Types Solved by Graph Coloring Techniques\" ဟု အဖြူရောင် စာသားဖြင့် ရေးသားထားသည်။",
"ဗဟိုအနီးရှိ အဓိက အပိုင်းများကို ကြည့်ပါက \"Graph Coloring Applications\" နှင့် \"Graph Coloring Algorithms\" ဟူသော အပိုင်းနှစ်ခုကို တွေ့ရှိနိုင်သည်။",
"Scheduling အပိုင်းက... | my-MM | |
CoSyn-400k-chart | [
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2,
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{
"user": "முதல் ஆண்டில் எந்த வீரர் அதிகபட்ச செயல்திறன் scorவை (performance score) எட்டினார்?",
"assistant": "முதல் ஆண்டில் அதிகபட்ச செயல்திறன் scorவை கண்டறிய, அனைத்து வீரர்களுக்கான ஆண்டு 1-ல் உள்ள தரவுப் புள்ளிகளைக் கவனியுங்கள். Drew Bledsoe-க்கு அதிகபட்ச மதிப்பு 85 ஆகும்."
},
{
"user": "10 ஆண்டுகள... | [
"ஆண்டு 1-ல் உள்ள தரவுப் புள்ளிகளை ஒப்பிடும்போது, Drew Bledsoe (சிவப்பு நிறக் கோடு) 85 என்ற புள்ளியில் தொடங்குகிறார். இது மற்ற அனைத்து வீரர்களின் ஆரம்ப புள்ளி als விட அதிகமாக உள்ளது.",
"ஒவ்வொரு வீரரின் கோடுகளும் 65 முதல் 85 வரை எழுகிறது. Andre Dillard (ஆரஞ்சு நிறக் கோடு) மற்ற வீரர்களை விட சமமான உயர்வு மற்றும் வீழ்... | ta-IN | |
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{
"user": "Saida mak titulu gráfiku ne'e?",
"assistant": "Titulu gráfiku nian iha leten no iha informasaun importante kona-ba sujeitu dadus nian."
},
{
"user": "Kategoria leitura ne'ebé fó kontribuisaun reseita boot liu?",
"assistant": "Hodi hateke ba barra sira iha gráfiku, kategoria ho barra p... | [
"Titulu mak 'Mystical Readings Revenue Distribution' no nia lokaliza iha parte leten de'it.",
"Barra ba 'Tarot Card Readings' iha valór '+' $3500, ne'ebé mak boot liu entre kategoria hotu-hotu.",
"Barra ba 'Palm Reading' hatudu valór '-' $600, ne'ebé mak ki'ik liu kompara ho valór negativu seluk.",
"Barra iku... | tet-TL | |
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"user": "어느 연령대에서 테스토스테론 수치가 가장 높습니까?",
"assistant": "하늘색으로 채워진 영역의 가장 높은 지점은 20-29 연령대의 테스토스테론 수치가 가장 높음을 보여줍니다."
},
{
"user": "여성 성 정체성 점수는 어느 두 연령대 사이에서 가장 많이 증가합니까?",
"assistant": "보라색 선을 따라가면, 여성 정체성 점수의 가장 큰 증가는 60-69와 70-79 연령대 사이에서 발생합니다."
},
{
"user": "모든 연령대에 걸친 평균 테스토스테론 수치는... | [
"차트의 하늘색 영역(테스토스테론 수치)을 보면 20-29 연령대에서 정점에 도달하며, 해당 지점의 수치는 약 480 ng/dL 근처입니다.",
"보라색 선을 관찰하면 60-69에서 70-79로 넘어가는 구간에서 기울기가 가장 가파르게 상승하는 것을 확인할 수 있습니다.",
"각 연령대별 하늘색 영역의 높이를 추정하면 300, 500, 450, 400, 350, 250, 200, 150입니다. 이 값들의 합계는 2600이며, 이를 8개 연령대로 나누면 평균은 325 ng/dL이 됩니다.",
"40-49 연령대 위치에서 하늘색 영역은 400 ng/dL... | ko-KR | |
CoSyn-400k-chart | [
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{
"user": "Qual plataforma de jogos é a mais popular?",
"assistant": "O gráfico de pizza mostra várias plataformas de jogos com suas respectivas porcentagens. A maior fatia representa PlayStation com 32%.\nResposta: PlayStation"
},
{
"user": "Qual plataforma tem uma porcentagem maior de usuários: Xb... | [
"O gráfico de pizza exibe várias fatias, cada uma rotulada com uma plataforma de jogos e sua porcentagem correspondente. A fatia rosa, identificada como PlayStation, é visivelmente a maior, ocupando 32% do gráfico.",
"A fatia azul clara, rotulada como Xbox, indica 28,0%, enquanto a fatia lilás, rotulada como PC, ... | pt-BR | |
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{
"user": "Quelle plateforme de média social est la plus préférée par les fans de Christian Rock ?",
"assistant": "Le graphique circulaire indique que Facebook occupe le segment le plus large, ce qui signifie qu'il est la plateforme de média social la plus préférée par les fans de Christian Rock.\nRéponse :... | [
"Le graphique circulaire montre plusieurs segments colorés représentant différentes plateformes. Le segment rouge, étiqueté 'Facebook', est visuellement le plus grand et porte le pourcentage le plus élevé de 35 %.",
"Le segment pour 'Instagram' est de 25 % (couleur turquoise), tandis que le segment pour 'YouTube'... | fr-FR | |
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{
"user": "Was ist der Titel der Abbildung?",
"assistant": "Der Titel der Abbildung wird oben im Diagramm angezeigt. Er gibt einen Überblick darüber, was das Diagramm darstellt.\nAntwort: \"Energy Flow in Industrial Automation System\""
},
{
"user": "Was sind die Hauptkategorien unter dem Distributi... | [
"Der Text \"Energy Flow in Industrial Automation System\" befindet sich in der oberen linken Ecke des Diagramms.",
"Vom Knoten \"Distribution Panel\" führen farbige Verbindungslinien zu fünf Zwischenknoten: \"Auxiliary Equipment\", \"Motor Drives\", \"HVAC Systems\", \"Lighting Systems\" und \"PLC Systems\".",
... | de-DE | |
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{
"user": "Какие экосистемы представлены на графике «солнечный взрыв»?",
"assistant": "Внешние категории графика «солнечный взрыв» показывают различные представленные экосистемы. Это Tropical Rainforest, Temperate Forest, Mediterranean, Desert и Alpine."
},
{
"user": "У какой экосистемы наибольшее к... | [
"График разделен на пять основных секторов первого уровня, которые представляют собой разные экосистемы: Tropical Rainforest (голубой), Mediterranean (оранжевый), Temperate Forest (желтый), Desert (зеленый) и Alpine (фиолетовый).",
"Визуальный анализ количества сегментов на внешнем крае графика показывает, что се... | ru-RU | |
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{
"user": "¿Quién es conocido por la innovación del Fútbol Total?",
"assistant": "Mira dentro del círculo etiquetado como 'Cruyff' y localiza el texto. Johan Cruyff es atribuido como el 'Total Football innovator'.\nRespuesta: Cruyff"
},
{
"user": "¿Qué leyenda está asociada con Santos?",
"assist... | [
"El diagrama de Venn muestra un círculo de color granate que contiene el texto 'Total Football innovator' y el nombre 'Cruyff'.",
"En la parte inferior izquierda, el nombre 'Pelé' se asocia con el texto 'Santos legend' dentro de un círculo de color amarillo mostaza.",
"El texto 'Iconic number 10' se encuentra e... | es-ES | |
CoSyn-400k-chart | [
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{
"user": "ما هو الوقت الذي يحصل فيه إنستغرام على أعلى درجة تفاعل؟",
"assistant": "ابحث عن أعلى قيمة في صف إنستغرام وحدد الوقت المقابل على المحور السيني. أعلى قيمة هي 60، والتي تقابل الساعة 12:00."
},
{
"user": "أي منصة لديها أعلى درجة تفاعل في الصباح (من 00:00 إلى 11:00)؟",
"assistant": "قارن د... | [
"يوضح المخطط الحراري أن صف إنستغرام يحتوي على أفتح لون (أصفر) عند العمود الممثل للساعة 12:00، وهو ما يقابل أعلى درجة في مقياس التفاعل.",
"عند فحص النطاق الزمني من 00:00 إلى 11:00، نجد أن الألوان في صف إنستغرام هي الأكثر سطوعاً مقارنة بالمنصات الأخرى، وتصل إلى ذروتها عند الساعة 11:00.",
"بالنظر إلى صف فيسبوك، تظ... | ar-001 | |
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{
"user": "Tema filosofis endi sing duwe skor popularitas paling dhuwur ing taun 1950-an?",
"assistant": "Kanthi ndeleng scatter plot kanggo taun 1950-an, tema sing tekan titik paling dhuwur (sumbu-y) yaiku Marxism."
},
{
"user": "Kepiye skor popularitas Existentialism owah saka taun 1950-an tekan t... | [
"Ing kolom taun 1950-an, ana limang titik data. Titik sing paling dhuwur manggon ing skor 75, sing diwakili dening simbol kotak biru tuwa sing manut legenda yaiku Marxism.",
"Simbol bunder ungu kanggo Existentialism dituduhake ing skor 5 ing taun 1950-an, 15 ing taun 1960-an, 25 ing taun 1970-an, 35 ing taun 1980... | jv-ID | |
CoSyn-400k-chart | [
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{
"user": "Trường phái tư tưởng Hồi giáo nào có tần suất xuất hiện của khái niệm \"Divine Justice\" cao nhất?",
"assistant": "Để xác định trường phái tư tưởng Hồi giáo có tần suất xuất hiện của khái niệm \"Divine Justice\" cao nhất, hãy nhìn vào chiều cao của các cột cho \"Divine Justice\". Cột của Mu'tazil... | [
"Trong biểu đồ có tiêu đề \"Divine Justice\", có sáu cột đại diện cho các trường phái khác nhau. Cột màu tím, tương ứng với trường phái Mu'tazila theo chú thích, là cột cao nhất, vượt qua mức 80 và gần tới mức 100.",
"Quan sát biểu đồ \"Tawhid (Oneness of God)\", cột màu cam (Sunni) và cột màu vàng (Ash'ari) có c... | vi-VN | |
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{
"user": "智利硝石出口在哪一年首次达到 1,000,000 公里吨？",
"assistant": "通过观察图表，我们需要找到硝石出口曲线首次crossing 1,000,000 公里吨标记的年份。从图中可以看出，出口量在 1884 年达到 1,000,000 公里吨。\n答案：1884"
},
{
"user": "从 1878 年到 1884 年，硝石出口增加了多少？",
"assistant": "查看 1878 年和 1884 年的硝石出口值。1878 年的数值为 280,000 公里吨，1884 年的数值为 900,000 公里吨。从 1884 年的数值减去 1... | [
"图表显示出口量从 1875 年开始稳步上升。在 1880 年到 1885 年之间，曲线跨过 1,000,000 的水平线，对应横轴上的年份约为 1884 年。",
"在图表中，1878 年对应的数据点位于 500,000 以下，约为 280,000。1884 年的数据点略低于 1,000,000 标记，约为 900,000。两者相减得到增加量。",
"比较图中 1880 年和 1890 年上方的标记点。1880 年的点明显低于 500,000，而 1890 年的点位于 1,500,000 和 2,000,000 之间，更接近 1,800,000。",
"在图中，1881 年的数据点位于 500,000 以下，约... | zh-CN | |
CoSyn-400k-chart | [
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{
"user": "What is the most adopted audio format in 2022?",
"assistant": "The highest bar in 2022 is for MP3, which means it is the most adopted format that year."
},
{
"user": "Which audio format had the least adoption rate in 2015?",
"assistant": "The shortest bar in 2015 is for Opus, indicati... | [
"O gráfico de barras empilhadas mostra o ano 2022 na extremidade direita do eixo X. A seção azul na base da barra de 2022, que corresponde ao formato MP3 de acordo com a legenda, é a maior seção individual da barra, ocupando aproximadamente 40% do total.",
"Localizando a barra para o ano de 2015, a seção roxa no ... | en-US | |
CoSyn-400k-chart | [
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{
"user": "แนวทางปฏิบัติใดที่เป็นเอกลักษณ์เฉพาะของเกษตรกรรมฟื้นฟู (regenerative agriculture)?",
"assistant": "แนวทางปฏิบัติที่เป็นเอกลักษณ์เฉพาะของเกษตรกรรมฟื้นฟูที่ระบุในแผนภาพคือ \"Crop rotation\", \"Minimal tillage\" และ \"Cover cropping\".\nคำตอบ: Crop rotation, Minimal tillage, Cover cropping"
},
{... | [
"แผนภาพแสดงพื้นที่ส่วนที่ทับซ้อนกันของสองวงกลม โดยด้านขวาของวงกลมสีน้ำตาลซึ่งแทน 'Regenerative Agriculture' มีรายการสามรายการที่อยู่ภายนอกพื้นที่ทับซ้อน ได้แก่ 'Crop rotation', 'Minimal tillage' และ 'Cover cropping'.",
"พื้นที่ส่วนที่ทับซ้อนกันตรงกลางระหว่างวงกลมสีเขียวและวงกลมสีน้ำตาลแสดงรายการแนวทางปฏิบัติที่มี... | th-TH | |
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{
"user": "Berapa persentase bantuan luar negeri yang diterima oleh Layanan Kesehatan (Healthcare)?",
"assistant": "Layanan Kesehatan menerima 28,5% dari total bantuan luar negeri, seperti yang ditunjukkan langsung dalam diagram lingkaran."
},
{
"user": "Sektor mana yang menerima persentase bantuan ... | [
"Diagram lingkaran menunjukkan bagian 'Healthcare' dengan label teks '28.5%'.",
"Berdasarkan legenda dan label pada diagram, bagian terkecil adalah 'Governance and Civil Society' dengan nilai 0,8%.",
"Diagram menunjukkan Healthcare sebesar 28,5% dan Economic Development sebesar 2,8%. Pengurangan 28,5 dikurangi ... | id-ID | |
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{
"user": "Apakah tajuk rajah tersebut?",
"assistant": "Tajuknya biasanya dipaparkan dalam fon yang besar di bahagian atas plot. Ia merumuskan apa yang divisualisasikan oleh plot tersebut.\nJawapan: Monthly Income Distribution of Actors Across Russian Film Studios"
},
{
"user": "Apakah label paksi-x... | [
"Tajuk rajah terletak di bahagian paling atas dalam fon yang besar dan tebal, berbunyi \"Monthly Income Distribution of Actors Across Russian Film Studios\".",
"Terdapat teks di bawah paksi mendatar yang menyatakan \"Monthly Income (Rubles)\" sebagai label untuk data tersebut.",
"Rajah menunjukkan taburan penda... | ms-MY | |
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] | 3 | [
4,
4,
4,
5,
4,
5,
4,
4,
4,
4
] | 4 | [
{
"user": "ano ang pamagat ng pigura?",
"assistant": "Ang pamagat ng pigura ay karaniwang matatagpuan sa itaas at naka-bold at mas malaki kaysa sa ibang elemento ng teksto sa pigura. Ang pamagat sa pigurang ito ay \"Gender Pay Gap Trends in Tech Industry\"."
},
{
"user": "anong mga kulay ang ginamit... | [
"Ang pinakamalaking teksto sa itaas na bahagi ng imahe ay ang pamagat na \"Gender Pay Gap Trends in Tech Industry\".",
"Mayroong legend sa kanang bahagi sa itaas na nagpapakita ng mga kulay para sa bawat kumpanya: pula para sa Google, teal para sa Microsoft, at light blue para sa Apple.",
"Ang x-axis ay nagpapa... | fil-PH | |
CoSyn-400k-chart | [
5,
5,
5,
5,
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5,
5
] | 5 | [
3,
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4,
4,
1,
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4,
1
] | 1 | [
5,
5,
5,
5,
4,
4,
5,
5
] | 4 | [
4,
4,
5,
4,
5,
4,
4,
5
] | 4 | [
{
"user": "\"Sample Collection\"（試料採取）ステップの成功率は？",
"assistant": "\"Sample Collection\"ステップの成功率は、グラフのバーの横に表示されています。ラベルは95%です。\n答え: 95%"
},
{
"user": "どのステップの成功率が最も低いですか？",
"assistant": "最も低い成功率のステップは、その横に最も小さいパーセンテージ値が表示されているものです。この場合、「Lab Analysis of Extremophiles」は72%と表示されており、他のすべてのステップよりも低くなって... | [
"グラフの最下部にある「Sample Collection」のバーの右端には、黒いテキストで「95%」と記載されています。",
"グラフの最上部にある「Lab Analysis of Extremophiles」のバーには「72%」と記載されており、これはリスト内の全項目の中で最小の数値です。",
"グラフ内の各数値を確認すると、82%（Earth Return Journey）、85%（Orbital Rendezvous）、88%（Launch from Planetary Surface）、92%（Sample Containment）、95%（Sample Collection）の5つが80%以上です。",
... | ja-JP | |
CoSyn-400k-chart | [
5,
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5,
5,
5,
5,
5,
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] | 3 | [
2,
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3,
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] | 2 | [
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] | 4 | [
4,
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] | 4 | [
{
"user": "តើបុគ្គលជាតិសាសន៍ស្WHITE ចូលកាន់តួនាទីផ្នែកសារព័ត៌មានកម្រិតខ្ពស់ចំនួនប៉ុន្មានភាគរយ?",
"assistant": "តាមរយៈការពិនិត្យលើដ្យាក្រាមរង្វង់ សូមពិនិត្យមើលផ្នែកដែលដាក់ស្លាកថា 'White' ហើយកត់សម្គាល់ភាគរយដែលពាក់ព័ន្ធ។ តម្លៃនេះបង្ហាញពីតំណាងរបស់បុគ្គលជាតិសាសន៍ស្WHITE។\nចម្លើយ: 77.4%"
},
{
"user": "តើភ... | [
"ដ្យាក្រាមរង្វង់បង្ហាញថា ផ្នែកដែលតំណាងឱ្យ 'White' មានទំហំធំជាងគេ ដែលមានតម្លៃ 77.4%។",
"ផ្នែក 'Hispanic/Latino' បង្ហាញពី 11.2% និងផ្នែក 'Black' បង្ហាញពី 6.8%។ ការបូកចំនួនទាំងពីរគឺ 11.2 + 6.8 = 18.0%។",
"ផ្នែកស្Asian មានតម្លៃ 3.2% ខណៈដែលផ្នែកស្Native American មានតម្លៃ 0.5%។ ដូច្នេះ តំណាងរបស់ស្Asian គឺច្រើនជាង។",
... | km-KH | |
CoSyn-400k-chart | [
3,
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] | 3 | [
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{
"user": "ຫົວຂໍ້ຂອງແຜນວາແວັນ (Venn Diagram) ແມ່ນຫຍັງ?",
"assistant": "ຫົວຂໍ້ໂດຍທົ່ວໄປແລ້ວຈະຖືກວາງໄວ້ທາງເທິງຂອງຮູບພາບ ແລະ ຢູ່ໃນຮູບແບບຕົວເຂັ້ມ. ມັນສະແດງໃຫ້ເຫັນເຖິງຫົວຂໍ້ຫຼັກ ຫຼື ປະເດັນຂອງແຜນວາແວັນ."
},
{
"user": "ມີສິ່ງໃດແຊກຊ້ອນກັນລະຫວ່າງເວີຊັນປຶ້ມ ແລະ ເວີຊັນຮູບເງົາຂອງ 'The Hunger Games'?",
"assi... | [
"ຂໍ້ຄວາມທີ່ໃຫຍ່ທີ່ສຸດ ແລະ ຢູ່ທາງເທິງສຸດຂອງຮູບພາບແມ່ນ « Similarities between Book-to-Movie Adaptations » ໂດຍໃຊ້ຕົວໜາ.",
"ຮູບພາບສະແດງແຜນວາແວັນທີ່ມີວົງມົນສາມວົງ, ເຊິ່ງວົງກາງຖືກຕັ້ງຊື່ວ່າ 'Both' ເພື່ອສະແດງເຖິງຈຸດທີ່ທັງສອງມີຄືກັນ.",
"ແຜນວາແວັນສະແດງໃຫ້ເຫັນຄວາມສຳພັນລະຫວ່າງປຶ້ມ ແລະ ຮູບເງົາ ໂດຍມີສ່ວນກາງທີ່ຊ້ຳກັນ.",
"ຮ... | lo-LA | |
CoSyn-400k-chart | [
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2,
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] | 4 | [
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] | 4 | [
{
"user": "ထူးဆန်းသော တိရစ္ဆာန်လှုပ်ရှားမှုရှိသည့် ညများ၏ ရာခိုင်နှုန်း အများဆုံးရှိသော လမှာ မည်သည့်လနည်း။",
"assistant": "အပိုင်းအစများ၏ အလျားကို ကြည့်ရှု၍ အကြီးဆုံးအပိုင်းရှိသော လကို ရှာပါ။ ဇွန်လတွင် အကြီးဆုံးအပိုင်းရှိသည်။\nအဖြေ: ဇွန်လ"
},
{
"user": "အစီရင်ခံတင်ပြထားသော ထူးဆန်းသော တိရစ္ဆာန်လှုပ်ရ... | [
"ဒါဖြတ်ပြားပုံ (donut chart) တွင် ဇွန်လ (June) သည် ၁၂.၅% ဖြင့် အကြီးဆုံး အစိတ်အပိုင်းတစ်ခု ဖြစ်နေကြောင်း ဖော်ပြထားသည်။",
"ပုံတွင် ဇွန်လသည် ၁၂.၅% ဖြစ်ပြီး၊ ဇန်နဝါရီလသည် ၂.၈၆% ဖြစ်သည်။ အများဆုံးနှင့် အနည်းဆုံးအကြား ကွာခြားချက်ကို တွက်ချက်ရန်အတွက် ပုံပါ အချက်အလက်များကို အသုံးပြုသည်။",
"ပုံတွင် ဖော်ပြထားသော လများ၏ ... | my-MM |
End of preview. Expand in Data Studio
FineVision-mini Thinking
FineVision-mini is a slice I made of HuggingFaceM4/FineVision: 169 of its image subsets, 101,321 rows (~40 GB) out of FineVision's 24.2M rows / 4.65 TB (about 0.4% of the rows, 0.9% of the bytes), sampled with a fixed seed. The 16 text-only subsets were left out.
This dataset is that slice, fully translated and augmented with reasoning, published in increments: each batch processes more rows of FineVision-mini and is appended here, until the whole slice is covered.
For every row:
- the entire conversation is translated into a single target language, questions and answers alike. The images are the only thing that stays as is. Code, identifiers, URLs and text visible inside code are kept verbatim as part of the translation rules.
- every assistant turn gets a reasoning trace in the same language, explaining how the answer follows from the image and the question.
What is different
| column | change |
|---|---|
texts |
whole conversation (user and assistant) translated into language. (the <image> placeholders removed if present) |
reasoning |
new, list<string>, one analysis per turn, aligned with texts, written in language |
language |
new, BCP 47 tag of the row |
Everything else (images as original bytes, source, the eight *_ratings / *_min columns) is unchanged.
The source conversation is not kept in this dataset. Rows tagged en-US are the model's English rendering of the source and are usually identical to it, but they are still generated text, not a verbatim copy. The untranslated conversations are the texts column of FineVision.
The reasoning is written so that image + question -> reasoning -> response: it describes the visual
and logical evidence, never the answer itself, and never implementation details found only in the
response (for image-to-code rows it describes layout, colors, typography. Not the code).
Languages
Each row is in one language: a row in pt-BR has its whole conversation and reasoning in Portuguese, and no other version of it exists in the dataset.
The 21 languages are mixed across rows, split evenly inside every subset (so every subset covers every language), and the language column tells which one a row is in.
Filter on it to get a single-language subset:
vi-VN zh-CN en-US th-TH id-ID ms-MY fil-PH ja-JP km-KH lo-LA my-MM ta-IN tet-TL ko-KR pt-BR fr-FR de-DE ru-RU es-ES ar-001 jv-ID
ds.filter(lambda r: r["language"] == "pt-BR")
Generation
- Model: Gemma 4 12B IT (QAT,
UD-Q4_K_XL),mmproj-F32, MTP draft model for speculative decoding, viallama-server(llama.cpp). - Sampling: temperature 1.0, top-p 0.95, top-k 64, reasoning mode off,
--image-max-tokens 1024. - Prompt: one request per row with all images and all question/response pairs. A fixed system prompt
defines the causal rule above, the translation rules (translate the prose, keep code, identifiers, URLs and visible text inside code verbatim) and the output format. The target language is passed as
tag (English name), e.g.lo-LA (Lao), because the bare tag was misread for rare languages.
Rules and validation
- Eligible rows: 1-4 images and 1–30 question/response pairs (the model loses count above that).
- Output must be valid JSON with exactly one item per pair. All fields strings.
rmay be empty only when the source response was empty. - Non-Latin target languages (th, lo, km, my, ta, ko, ja, zh, ru, ar) are checked by Unicode script. A reasoning trace in the wrong script is rejected. Latin-script languages cannot be checked this way.
- Generation is capped at roughly twice the expected output length. Truncated or looping outputs are rejected.
- Up to 3 attempts per row, then a second pass with lower concurrency. Rows the model still fails on (about 0.2%) are omitted, nothing is patched by hand.
License and credits
Images and source conversations come from FineVision and keep the license of their original subset: see the FineVision dataset card for per-source terms. Translations and reasoning traces are model-generated with Gemma 4 and are subject to the Gemma Terms of Use.
Credits go to HuggingFaceM4 for FineVision and the source datasets it aggregates, to Google for Gemma, to unsloth for the GGUF quantizations, and to the llama.cpp project for the inference server.
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