Datasets:

jiangjiechen
/

ekar_english

+---
+languages:
+- en
+licenses:
+- afl-3.0
+size_categories:
+- 1K<n<2K
+source_datasets:
+- original
+task_categories:
+- question-answering
+- text-generation
+task_ids:
+- analogical-qa
+- explanation-generation
+---
+# Dataset Card for ekar_english
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+## Dataset Description
+- **Homepage:** https://jiangjiechen.github.io/publication/ekar/
+- **Repository:** https://github.com/jiangjiechen/E-KAR
+- **Paper:** [E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning](https://arxiv.org/abs/2203.08480)
+- **Leaderboard:** https://ekar-leaderboard.github.io
+- **Point of Contact:** jjchen19@fudan.edu.cn
+### Dataset Summary
+The ability to recognize analogies is fundamental to human cognition. Existing benchmarks to test word analogy do not reveal the underneath process of analogical reasoning of neural models. Holding the belief that models capable of reasoning should be right for the right reasons, we propose a first-of-its-kind Explainable Knowledge-intensive Analogical Reasoning benchmark (E-KAR). Our benchmark consists of 1,655 (in Chinese) and 1,251 (in English) problems sourced from the Civil Service Exams, which require intensive background knowledge to solve. More importantly, we design a free-text explanation scheme to explain whether an analogy should be drawn, and manually annotate them for each and every question and candidate answer. Empirical results suggest that this benchmark is very challenging for some state-of-the-art models for both explanation generation and analogical question answering tasks, which invites further research in this area.
+### Supported Tasks and Leaderboards
+- `analogical-qa`: The dataset can be used to train a model for analogical reasoning in the form of multiple-choice QA.
+- `explanation-generation`: The dataset can be used to generate free-text explanations to rationalize analogical reasoning.
+This dataset supports two task modes: EASY mode and HARD mode:
+- `EASY mode`: where query explanation can be used as part of the input.
+- `HARD mode`: no explanation is allowed as part of the input.
+### Languages
+This dataset is in English, which is translated from [its Chinese version](https://huggingface.co/datasets/Jiangjie/ekar_chinese/)
+## Dataset Structure
+### Data Instances
+```json
+{
+  "id": "982f17-en",
+  "question": "plant:coal",
+  "choices": {
+    "label": [
+      "A",
+      "B",
+      "C",
+      "D"
+    ],
+    "text": [
+      "white wine:aged vinegar",
+      "starch:corn",
+      "milk:yogurt",
+      "pickled cabbage:cabbage"
+    ]
+  },
+  "answerKey": "C",
+  "explanation": [
+    "\"plant\" is the raw material of \"coal\".",
+    "both \"white wine\" and \"aged vinegar\" are brewed.",
+    "\"starch\" is made of \"corn\", and the order of words is inconsistent with the query.",
+    "\"yogurt\" is made from \"milk\".",
+    "\"pickled cabbage\" is made of \"cabbage\", and the word order is inconsistent with the query."
+  ],
+  "relation": [
+    [["plant", "coal", "R3.7"]],
+    [["white wine", "aged vinegar", "R2.4"]],
+    [["corn", "starch", "R3.7"]],
+    [["milk", "yogurt", "R3.7"]],
+    [["cabbage", "pickled cabbage", "R3.7"]]
+  ]
+}
+```
+### Data Fields
+- id: a string identifier for each example.
+- question: query terms.
+- choices: candidate answer terms.
+- answerKey: correct answer.
+- explanation: explanations for query (1st) and candidate answers (2nd-5th).
+- relation: annotated relations for terms in the query (1st) and candidate answers (2nd-5th).
+### Data Splits
+| name  |train|validation|test_blind|test_easy_blind|
+|:-----:|:---:|:--------:|:--:|:--:|
+|default| 870|       119| 262| 262 |
+|description|  |  | without query explanations (for HARD mode) | with query explanations (for EASY mode) |
+## Dataset Creation
+### Curation Rationale
+[Needs More Information]
+### Source Data
+#### Initial Data Collection and Normalization
+[Needs More Information]
+#### Who are the source language producers?
+[Needs More Information]
+### Annotations
+#### Annotation process
+[Needs More Information]
+#### Who are the annotators?
+[Needs More Information]
+### Personal and Sensitive Information
+[Needs More Information]
+## Considerations for Using the Data
+### Social Impact of Dataset
+The purpose of this dataset is to help develop analogical reasoning systems that are right for the right reasons.
+### Discussion of Biases
+This dataset is sourced and translated from the Civil Service Examinations of China. Therefore, despite the effort that the authors try to remove or rewrite such problems, it may still contain information biased to Chinese culture.
+### Other Known Limitations
+1. The explanation annotation process in E-KAR (not the EG task) is mostly post-hoc and reflects only the result of reasoning. Humans solve the analogy problems in a trial-and-error manner, i.e., adjusting the abduced source structure and trying to find the most suited one for all candidate answers. Therefore, such explanations cannot offer supervision for intermediate reasoning.
+2. E-KAR only presents one feasible explanation for each problem, whereas there may be several.
+3. The English version of E-KAR is machine-translated and post-edited by humans. Although the authors have tried their best to maintain the translation quality, there could be some unsatisfying samples in the English dataset, e.g., culture-specific ones, ambiguous ones after translation, etc.
+## Additional Information
+### Dataset Curators
+The dataset was initially created and curated by Jiangjie Chen (Fudan University, ByteDance), Rui Xu (Fudan University), Ziquan Fu (Brain Technologies, Inc.), Wei Shi (South China University of Technology), Xinbo Zhang (ByteDance), Changzhi Sun (ByteDance) and other colleagues at ByteDance and Fudan University.
+### Licensing Information
+[Needs More Information]
+### Citation Information
+```latex
+@misc{chen2022ekar,
+    title={E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning},
+    author={Jiangjie Chen and Rui Xu and Ziquan Fu and Wei Shi and Zhongqiao Li and Xinbo Zhang and Changzhi Sun and Lei Li and Yanghua Xiao and Hao Zhou},
+    year={2022},
+    eprint={2203.08480},
+    archivePrefix={arXiv},
+    primaryClass={cs.CL}
+}
+```

test_blind.json ADDED Viewed

	@@ -0,0 +1,262 @@

+{"id": "bb6b40-en", "question": "paddy:rice", "choices": {"label": ["A", "B", "C", "D"], "text": ["walnut:walnut crisp", "cotton:cotton seed", "watermelon:melon seeds", "peanut:peanut butter"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "1af9fe-en", "question": "principal:teacher", "choices": {"label": ["A", "B", "C", "D"], "text": ["police:thief", "manager:staff", "teacher:student", "doctor:nurse"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "27a640-en", "question": "youth:village officials:grassroots training", "choices": {"label": ["A", "B", "C", "D"], "text": ["party history:national history", "workers:farmers:wealth creation", "scholars:confucian businessmen:market struggle", "heroine:hero:competing on the same stage"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "abc747-en", "question": "police:civil servants", "choices": {"label": ["A", "B", "C", "D"], "text": ["white people:women", "cotton:cottonseed", "football:sports", "dance:act"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "3a3cb3-en", "question": "sick:medicine", "choices": {"label": ["A", "B", "C", "D"], "text": ["emptiness:faith", "confused:understand", "thunderstorm:gale", "sad:happy"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "0e810b-en", "question": "admire:respect", "choices": {"label": ["A", "B", "C", "D"], "text": ["like:adore", "oppression:exploitation", "spouse:husband and wife", "relatives:neighbors"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "c1730a-en", "question": "firewall:isolation network", "choices": {"label": ["A", "B", "C", "D"], "text": ["radiator:electric blanket", "watch:compass", "memory:calculator", "kongming lantern:energy saving lamp"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "1d704b-en", "question": "flower blush:bees:collecting honey", "choices": {"label": ["A", "B", "C", "D"], "text": ["restaurant:chef:cook", "farmland:farmer:harvest", "universe:star:run", "woods:willow:sprouting"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "4cd587-en", "question": "production:quality inspection:sales", "choices": {"label": ["A", "B", "C", "D"], "text": ["go to school:preview:review", "investigate:organize:analyze", "supervision:improvement:efficiency", "jobless:poverty:relief"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "8eddf7-en", "question": "reading:studying", "choices": {"label": ["A", "B", "C", "D"], "text": ["harvest:cultivation", "inheritance:propagation", "induction:summary", "war:campaign"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "85c7d5-en", "question": "nicotine:cigarettes", "choices": {"label": ["A", "B", "C", "D"], "text": ["honey:biscuits", "smokable methamphetamine:drugs", "sugar:sugar cane", "radishes:vegetables"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "5f5279-en", "question": "foul:free throw", "choices": {"label": ["A", "B", "C", "D"], "text": ["plagiarism:warning", "refuel:drive", "cold:take medicine", "injury:bandage"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "8e69db-en", "question": "alarm clock:clockwork:time", "choices": {"label": ["A", "B", "C", "D"], "text": ["microorganisms:bacteria:decomposition", "tool:pliers:repair", "air conditioner:compressor:refrigeration", "potatoes:carbohydrates:nutrition"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "5b889c-en", "question": "ceramics:teacups", "choices": {"label": ["A", "B", "C", "D"], "text": ["silver:necklace", "clay:potted", "goose feather:coat", "steel:automotive"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "d5d70e-en", "question": "up:down", "choices": {"label": ["A", "B", "C", "D"], "text": ["country road:highway", "yali pear:snow pear", "joy:sorrow", "common year:leap year"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "efed0f-en", "question": "photo:memorial", "choices": {"label": ["A", "B", "C", "D"], "text": ["document:confidential", "antiques:collect", "diary:record", "books:check"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "cb677d-en", "question": "customs:inspection:tariff", "choices": {"label": ["A", "B", "C", "D"], "text": ["optical cable:communication:network speed", "filtration:purification:drinking", "forest:oxygen:health", "desert:camel:transport"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "472f2b-en", "question": "parade:troops:base", "choices": {"label": ["A", "B", "C", "D"], "text": ["consumption:guest:hotel", "interview:representative:venue", "training:staff:position", "casting net:fisherman:sea"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "937e9b-en", "question": "brand:loyalty", "choices": {"label": ["A", "B", "C", "D"], "text": ["label:callout", "boutique:value", "rumor:lie", "culture:identity"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "5548ed-en", "question": "wechat:qq:msn", "choices": {"label": ["A", "B", "C", "D"], "text": ["scanner:printer:cartridge", "sohu:sina:netease", "stamp:mail:mailbox", "computer:mouse:display"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "acca4c-en", "question": "bow:guns:war", "choices": {"label": ["A", "B", "C", "D"], "text": ["brush:fountain pen:calligraphy", "carriage:car:transportation", "book:computer:learning", "radio:television:propaganda"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "328e33-en", "question": "candle:electric light", "choices": {"label": ["A", "B", "C", "D"], "text": ["abacus:computer", "carrier pigeon:telegraph", "firecrackers:muskets", "television:movies"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "74f908-en", "question": "father:daughter", "choices": {"label": ["A", "B", "C", "D"], "text": ["uncle:aunt", "son:son-in-law", "uncle:aunt", "maternal grandfather:mother"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "a61868-en", "question": "oxygen:breathing", "choices": {"label": ["A", "B", "C", "D"], "text": ["watch:time", "brain:thinking", "sun:lighting", "weapon:war"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "eb9d1d-en", "question": "sculpture:painting", "choices": {"label": ["A", "B", "C", "D"], "text": ["government:democracy", "politics:faith", "mechanics:optics", "samples:examples"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "a88664-en", "question": "pen:ballpoint pen:pencil", "choices": {"label": ["A", "B", "C", "D"], "text": ["soap:saponin:toilet soap", "steel scale:weighing scale:bench scale", "table:stool:chair", "gas stove:tv:washing machine"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "0b13e2-en", "question": "comparison:analysis", "choices": {"label": ["A", "B", "C", "D"], "text": ["appreciation:evaluation", "planting:breeding", "prosperity:development", "aid:fund"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "f24e3a-en", "question": "platform:pier:parking apron", "choices": {"label": ["A", "B", "C", "D"], "text": ["cash:check:bank card", "software:hardware:internet", "coat:wedding dress:down jacket", "actor:crowd:host"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "2bf6b0-en", "question": "government affairs:official documents", "choices": {"label": ["A", "B", "C", "D"], "text": ["advertisement:tv", "brand:product", "market:demand", "schedule:plan"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "42139b-en", "question": "call for papers:review:publishing", "choices": {"label": ["A", "B", "C", "D"], "text": ["assembly:repair:scrap", "submission for review:opening title:graduation", "separation:launch:orbit", "painting:on display:framed"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "0be88d-en", "question": "b-ultrasound:ultrasound:diagnosis", "choices": {"label": ["A", "B", "C", "D"], "text": ["radar:antenna:detection", "camera:negative:photography", "refrigerator:refrigerant:refrigeration", "computer:display:work"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "b4613f-en", "question": "ash:ashtray", "choices": {"label": ["A", "B", "C", "D"], "text": ["blackboard:blackboard eraser", "mouse:mousepad", "jewelry:jewelry box", "tie:tie clip"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "0f63b5-en", "question": "pipe:tobacco", "choices": {"label": ["A", "B", "C", "D"], "text": ["wine cabinet:moutai", "windows:daylighting", "glass:beer", "smoke:smoking"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "7ac1e7-en", "question": "bowl:water cup", "choices": {"label": ["A", "B", "C", "D"], "text": ["glass:schoolbag", "light:candle", "sofa:bed", "computer:entertainment"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "6426ab-en", "question": "rice:grain", "choices": {"label": ["A", "B", "C", "D"], "text": ["textbook:school", "television:air conditioner", "sunshine:rain and dew", "elephant:animal"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "6c0822-en", "question": "eye chart:glasses", "choices": {"label": ["A", "B", "C", "D"], "text": ["electronic scales:food", "treadmill:fat", "thermometer:antipyretic", "ct machine:tumor"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "4a079a-en", "question": "dogs, pigs, chickens:doghouse, sty, kenhouse", "choices": {"label": ["A", "B", "C", "D"], "text": ["father, mother, male child:dad, mom, son", "color, sound, flavor:eyes, ears, nose", "fish, shrimp, crab:lake, sea, river", "building, house, roof:roof, beam, tent"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "c40666-en", "question": "metrics:adjust", "choices": {"label": ["A", "B", "C", "D"], "text": ["future:looked forward", "ideal:to achieve", "meeting:postponed", "strength:enhanced"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "5dd9be-en", "question": "mobile:landline:contact", "choices": {"label": ["A", "B", "C", "D"], "text": ["spaceship:rocket:missile", "air conditioner:refrigerator:temperature", "advertisement:slogan:propaganda", "atomic bomb:hydrogen bomb:scientists"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "16b1f0-en", "question": "approval:review:declaration", "choices": {"label": ["A", "B", "C", "D"], "text": ["cooking:chopping:washing vegetables", "running:walking:crawling", "leave early:arrive late:check in", "healed:treatment:injured"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "9d1dfc-en", "question": "plastic:container", "choices": {"label": ["A", "B", "C", "D"], "text": ["lime:cement", "ceramic:tableware", "pier:bridge", "timber:wood"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "e4ba3b-en", "question": "shooting:pistol", "choices": {"label": ["A", "B", "C", "D"], "text": ["stabbing:dagger", "throwing:stone", "fail:escape", "bullet:wounded"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "9b935d-en", "question": "bee:honey", "choices": {"label": ["A", "B", "C", "D"], "text": ["butterfly:cocoon pupa", "hen:egg", "father:child", "farmers:food"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "aa5b10-en", "question": "computer:e-mail:photo", "choices": {"label": ["A", "B", "C", "D"], "text": ["brush:chinese painting:copybook", "truck:goods:refrigerator", "air conditioner:temperature:cold air", "mobile:text message:multimedia message"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "2c324b-en", "question": "male doctor:female professor:professor", "choices": {"label": ["A", "B", "C", "D"], "text": ["politician:litterateur:writer", "irrational numbers:positive integers:positive numbers", "electric vehicle:refrigerator:electric appliance", "highway bridge:railway bridge:bridge"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "c0d80c-en", "question": "worker:gear:mechanical watch", "choices": {"label": ["A", "B", "C", "D"], "text": ["poets:poems:publications", "teacher:textbook:top students", "painter:brush:painting", "cook:flour:steamed bread"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "c6e505-en", "question": "student:military training:physical fitness", "choices": {"label": ["A", "B", "C", "D"], "text": ["patient:treatment:health", "farmer:increase yield:grain", "cadres:development:country", "institution:change:harmony"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "af008f-en", "question": "loans:banks", "choices": {"label": ["A", "B", "C", "D"], "text": ["medical record:patient", "mail:post office", "fire:fire truck", "ticket:traffic police"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "0c34ed-en", "question": "traffic lights:traffic", "choices": {"label": ["A", "B", "C", "D"], "text": ["airport:security check", "cell phone:call", "ministry of education:students", "switch:current"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "d85418-en", "question": "buying tickets:boarding:arriving", "choices": {"label": ["A", "B", "C", "D"], "text": ["production:circulation:consumption", "getting acquainted:falling in love:getting married", "research:survey:summary", "applying:reviewing:winning"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "c701d5-en", "question": "judgment:audition", "choices": {"label": ["A", "B", "C", "D"], "text": ["rescue and disaster relief:aftermath", "performance:audience", "macro control:fiscal policy", "meeting:learning"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "ae983a-en", "question": "ritual:inscription", "choices": {"label": ["A", "B", "C", "D"], "text": ["stock market:stocks", "books:headnotes", "cabinet:prime minister", "ship:route"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "1d8e22-en", "question": "high school students:college students:graduate students", "choices": {"label": ["A", "B", "C", "D"], "text": ["youth:middle age:old age", "morning light:blazing sunshine:the setting sun", "plateau:remote mountain:ravine", "moon phase:the waxing moon:the waning moon"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "c5fd29-en", "question": "vibration:frequency", "choices": {"label": ["A", "B", "C", "D"], "text": ["value:price", "time:money", "moving:speed", "sun:temperature"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "10dfb2-en", "question": "sheep:livestock:grassland", "choices": {"label": ["A", "B", "C", "D"], "text": ["fish and shrimp:seafood:lake water", "books:desk:school", "bird:chirping:woods", "white duck:poultry:river pond"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "8c3f2e-en", "question": "rain:drought", "choices": {"label": ["A", "B", "C", "D"], "text": ["sunshine:damp", "haze:cold", "hurricane:disaster", "hail:farmland"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "0d2d05-en", "question": "planning:implementation:acceptance", "choices": {"label": ["A", "B", "C", "D"], "text": ["litigation:trial:evidence collection", "sales:promotion:production", "bid:bid opening:bidding", "sowing:management:harvest"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
+{"id": "818be2-en", "question": "upland crops:food crops:high yielding crops", "choices": {"label": ["A", "B", "C", "D"], "text": ["industrial alcohol:edible alcohol:medical alcohol", "people's daily:guangming daily:jiefang daily", "leading figures:news figures:public figures", "vertebrates:mammals:higher animals"]}, "answerKey": "", "explanation": ["", "", "", "", ""], "relation": []}
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