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Add crosslingual_with_para_sr data files
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metadata
annotations_creators:
  - found
language_creators:
  - found
language:
  - ar
  - bg
  - de
  - es
  - fr
  - hr
  - hu
  - it
  - lt
  - mk
  - pl
  - pt
  - sq
  - sr
  - tr
  - vi
license:
  - cc-by-sa-4.0
multilinguality:
  - monolingual
  - multilingual
size_categories:
  - 10K<n<100K
  - 1K<n<10K
  - n<1K
source_datasets:
  - original
task_categories:
  - question-answering
task_ids:
  - multiple-choice-qa
paperswithcode_id: exams
pretty_name: EXAMS
config_names:
  - alignments
  - crosslingual_bg
  - crosslingual_hr
  - crosslingual_hu
  - crosslingual_it
  - crosslingual_mk
  - crosslingual_pl
  - crosslingual_pt
  - crosslingual_sq
  - crosslingual_sr
  - crosslingual_test
  - crosslingual_tr
  - crosslingual_vi
  - crosslingual_with_para_bg
  - crosslingual_with_para_hr
  - crosslingual_with_para_hu
  - crosslingual_with_para_it
  - crosslingual_with_para_mk
  - crosslingual_with_para_pl
  - crosslingual_with_para_pt
  - crosslingual_with_para_sq
  - crosslingual_with_para_sr
  - crosslingual_with_para_test
  - crosslingual_with_para_tr
  - crosslingual_with_para_vi
  - multilingual
  - multilingual_with_para
dataset_info:
  - config_name: alignments
    features:
      - name: source_id
        dtype: string
      - name: target_id_list
        sequence: string
    splits:
      - name: full
        num_bytes: 1265256
        num_examples: 10834
    download_size: 184096
    dataset_size: 1265256
  - config_name: crosslingual_bg
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 1077329
        num_examples: 2344
      - name: validation
        num_bytes: 281771
        num_examples: 593
    download_size: 514922
    dataset_size: 1359100
  - config_name: crosslingual_hr
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 807104
        num_examples: 2341
      - name: validation
        num_bytes: 176594
        num_examples: 538
    download_size: 450090
    dataset_size: 983698
  - config_name: crosslingual_hu
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 677535
        num_examples: 1731
      - name: validation
        num_bytes: 202012
        num_examples: 536
    download_size: 401455
    dataset_size: 879547
  - config_name: crosslingual_it
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 399312
        num_examples: 1010
      - name: validation
        num_bytes: 93175
        num_examples: 246
    download_size: 226376
    dataset_size: 492487
  - config_name: crosslingual_mk
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 825702
        num_examples: 1665
      - name: validation
        num_bytes: 204318
        num_examples: 410
    download_size: 394548
    dataset_size: 1030020
  - config_name: crosslingual_pl
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 573410
        num_examples: 1577
      - name: validation
        num_bytes: 141633
        num_examples: 394
    download_size: 341925
    dataset_size: 715043
  - config_name: crosslingual_pt
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 374798
        num_examples: 740
      - name: validation
        num_bytes: 87714
        num_examples: 184
    download_size: 208021
    dataset_size: 462512
  - config_name: crosslingual_sq
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 423744
        num_examples: 1194
      - name: validation
        num_bytes: 110093
        num_examples: 311
    download_size: 247052
    dataset_size: 533837
  - config_name: crosslingual_sr
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 649560
        num_examples: 1323
      - name: validation
        num_bytes: 145724
        num_examples: 314
    download_size: 327466
    dataset_size: 795284
  - config_name: crosslingual_test
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: test
        num_bytes: 8402575
        num_examples: 19736
    download_size: 3438526
    dataset_size: 8402575
  - config_name: crosslingual_tr
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 718431
        num_examples: 1571
      - name: validation
        num_bytes: 182974
        num_examples: 393
    download_size: 169745177
    dataset_size: 901405
  - config_name: crosslingual_vi
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 954191
        num_examples: 1955
      - name: validation
        num_bytes: 232264
        num_examples: 488
    download_size: 169745177
    dataset_size: 1186455
  - config_name: crosslingual_with_para_bg
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 47066808
        num_examples: 2344
      - name: validation
        num_bytes: 11916026
        num_examples: 593
    download_size: 15794611
    dataset_size: 58982834
  - config_name: crosslingual_with_para_hr
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 24889604
        num_examples: 2341
      - name: validation
        num_bytes: 5695066
        num_examples: 538
    download_size: 9839452
    dataset_size: 30584670
  - config_name: crosslingual_with_para_hu
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 19035663
        num_examples: 1731
      - name: validation
        num_bytes: 6043265
        num_examples: 536
    download_size: 9263625
    dataset_size: 25078928
  - config_name: crosslingual_with_para_it
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 16409235
        num_examples: 1010
      - name: validation
        num_bytes: 4018329
        num_examples: 246
    download_size: 6907617
    dataset_size: 20427564
  - config_name: crosslingual_with_para_mk
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 38445894
        num_examples: 1665
      - name: validation
        num_bytes: 9673574
        num_examples: 410
    download_size: 12878474
    dataset_size: 48119468
  - config_name: crosslingual_with_para_pl
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 16373781
        num_examples: 1577
      - name: validation
        num_bytes: 4158832
        num_examples: 394
    download_size: 6539172
    dataset_size: 20532613
  - config_name: crosslingual_with_para_pt
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 12185383
        num_examples: 740
      - name: validation
        num_bytes: 3093712
        num_examples: 184
    download_size: 4956969
    dataset_size: 15279095
  - config_name: crosslingual_with_para_sq
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 17341277
        num_examples: 1194
      - name: validation
        num_bytes: 4449952
        num_examples: 311
    download_size: 7112236
    dataset_size: 21791229
  - config_name: crosslingual_with_para_sr
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 24575845
        num_examples: 1323
      - name: validation
        num_bytes: 5772509
        num_examples: 314
    download_size: 8035415
    dataset_size: 30348354
  - config_name: crosslingual_with_para_test
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: test
        num_bytes: 207974374
        num_examples: 13510
    download_size: 62878029
    dataset_size: 207974374
  - config_name: crosslingual_with_para_tr
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 18597963
        num_examples: 1571
      - name: validation
        num_bytes: 4763341
        num_examples: 393
    download_size: 169745177
    dataset_size: 23361304
  - config_name: crosslingual_with_para_vi
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 40884023
        num_examples: 1955
      - name: validation
        num_bytes: 10260662
        num_examples: 488
    download_size: 169745177
    dataset_size: 51144685
  - config_name: multilingual
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 3381837
        num_examples: 7961
      - name: validation
        num_bytes: 1141687
        num_examples: 2672
      - name: test
        num_bytes: 5746781
        num_examples: 13510
    download_size: 4323915
    dataset_size: 10270305
  - config_name: multilingual_with_para
    features:
      - name: id
        dtype: string
      - name: question
        struct:
          - name: stem
            dtype: string
          - name: choices
            sequence:
              - name: text
                dtype: string
              - name: label
                dtype: string
              - name: para
                dtype: string
      - name: answerKey
        dtype: string
      - name: info
        struct:
          - name: grade
            dtype: int32
          - name: subject
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 127294567
        num_examples: 7961
      - name: validation
        num_bytes: 42711689
        num_examples: 2672
      - name: test
        num_bytes: 207974374
        num_examples: 13510
    download_size: 112597818
    dataset_size: 377980630
configs:
  - config_name: alignments
    data_files:
      - split: full
        path: alignments/full-*
  - config_name: crosslingual_bg
    data_files:
      - split: train
        path: crosslingual_bg/train-*
      - split: validation
        path: crosslingual_bg/validation-*
  - config_name: crosslingual_hr
    data_files:
      - split: train
        path: crosslingual_hr/train-*
      - split: validation
        path: crosslingual_hr/validation-*
  - config_name: crosslingual_hu
    data_files:
      - split: train
        path: crosslingual_hu/train-*
      - split: validation
        path: crosslingual_hu/validation-*
  - config_name: crosslingual_it
    data_files:
      - split: train
        path: crosslingual_it/train-*
      - split: validation
        path: crosslingual_it/validation-*
  - config_name: crosslingual_mk
    data_files:
      - split: train
        path: crosslingual_mk/train-*
      - split: validation
        path: crosslingual_mk/validation-*
  - config_name: crosslingual_pl
    data_files:
      - split: train
        path: crosslingual_pl/train-*
      - split: validation
        path: crosslingual_pl/validation-*
  - config_name: crosslingual_pt
    data_files:
      - split: train
        path: crosslingual_pt/train-*
      - split: validation
        path: crosslingual_pt/validation-*
  - config_name: crosslingual_sq
    data_files:
      - split: train
        path: crosslingual_sq/train-*
      - split: validation
        path: crosslingual_sq/validation-*
  - config_name: crosslingual_sr
    data_files:
      - split: train
        path: crosslingual_sr/train-*
      - split: validation
        path: crosslingual_sr/validation-*
  - config_name: crosslingual_test
    data_files:
      - split: test
        path: crosslingual_test/test-*
  - config_name: crosslingual_with_para_bg
    data_files:
      - split: train
        path: crosslingual_with_para_bg/train-*
      - split: validation
        path: crosslingual_with_para_bg/validation-*
  - config_name: crosslingual_with_para_hr
    data_files:
      - split: train
        path: crosslingual_with_para_hr/train-*
      - split: validation
        path: crosslingual_with_para_hr/validation-*
  - config_name: crosslingual_with_para_hu
    data_files:
      - split: train
        path: crosslingual_with_para_hu/train-*
      - split: validation
        path: crosslingual_with_para_hu/validation-*
  - config_name: crosslingual_with_para_it
    data_files:
      - split: train
        path: crosslingual_with_para_it/train-*
      - split: validation
        path: crosslingual_with_para_it/validation-*
  - config_name: crosslingual_with_para_mk
    data_files:
      - split: train
        path: crosslingual_with_para_mk/train-*
      - split: validation
        path: crosslingual_with_para_mk/validation-*
  - config_name: crosslingual_with_para_pl
    data_files:
      - split: train
        path: crosslingual_with_para_pl/train-*
      - split: validation
        path: crosslingual_with_para_pl/validation-*
  - config_name: crosslingual_with_para_pt
    data_files:
      - split: train
        path: crosslingual_with_para_pt/train-*
      - split: validation
        path: crosslingual_with_para_pt/validation-*
  - config_name: crosslingual_with_para_sq
    data_files:
      - split: train
        path: crosslingual_with_para_sq/train-*
      - split: validation
        path: crosslingual_with_para_sq/validation-*
  - config_name: crosslingual_with_para_sr
    data_files:
      - split: train
        path: crosslingual_with_para_sr/train-*
      - split: validation
        path: crosslingual_with_para_sr/validation-*
  - config_name: crosslingual_with_para_test
    data_files:
      - split: test
        path: crosslingual_with_para_test/test-*
  - config_name: multilingual
    data_files:
      - split: train
        path: multilingual/train-*
      - split: validation
        path: multilingual/validation-*
      - split: test
        path: multilingual/test-*
  - config_name: multilingual_with_para
    data_files:
      - split: train
        path: multilingual_with_para/train-*
      - split: validation
        path: multilingual_with_para/validation-*
      - split: test
        path: multilingual_with_para/test-*
    default: true

Dataset Card for [Dataset Name]

Table of Contents

Dataset Description

Dataset Summary

EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations. It consists of more than 24,000 high-quality high school exam questions in 16 languages, covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

The languages in the dataset are:

  • ar
  • bg
  • de
  • es
  • fr
  • hr
  • hu
  • it
  • lt
  • mk
  • pl
  • pt
  • sq
  • sr
  • tr
  • vi

Dataset Structure

Data Instances

An example of a data instance (with support paragraphs, in Bulgarian) is:

{'answerKey': 'C',
 'id': '35dd6b52-7e71-11ea-9eb1-54bef70b159e',
 'info': {'grade': 12, 'language': 'Bulgarian', 'subject': 'Biology'},
 'question': {'choices': {'label': ['A', 'B', 'C', 'D'],
   'para': ['Това води до наследствени изменения между организмите. Мирновременните вождове са наследствени. Черният, сивият и кафявият цвят на оцветяване на тялото се определя от пигмента меланин и възниква в резултат на наследствени изменения. Тези различия, според Монтескьо, не са наследствени. Те са и важни наследствени вещи в клана. Те са били наследствени архонти и управляват демократично. Реликвите са исторически, религиозни, семейни (наследствени) и технически. Общо са направени 800 изменения. Не всички наследствени аномалии на хемоглобина са вредни, т.е. Моногенните наследствени болести, които водят до мигрена, са редки. Няма наследствени владетели. Повечето от тях са наследствени и се предават на потомството. Всичките синове са ерцхерцози на всичките наследствени земи и претенденти. През 1509 г. Фраунбергите са издигнати на наследствени имперски графове. Фамилията Валдбург заради постиженията са номинирани на „наследствени имперски трушсеси“. Фамилията Валдбург заради постиженията са номинирани на „наследствени имперски трушсеси“. Описани са единични наследствени случаи, но по-често липсва фамилна обремененост. Позициите им са наследствени и се предават в рамките на клана. Внесени са изменения в конструкцията на веригите. и са направени изменения в ходовата част. На храма са правени лоши архитектурни изменения. Изменения са предприети и вътре в двореца. Имало двама наследствени вождове. Имало двама наследствени вождове. Годишният календар, „компасът“ и биологичния часовник са наследствени и при много бозайници.',
    'Постепенно задълбочаващите се функционални изменения довеждат и до структурни изменения. Те се дължат както на растягането на кожата, така и на въздействието на хормоналните изменения върху кожната тъкан. тези изменения се долавят по-ясно. Впоследствие, той претърпява изменения. Ширината остава без изменения. След тяхното издаване се налагат изменения в първоначалния Кодекс, защото не е съобразен с направените в Дигестите изменения. Еволюционният преход се характеризира със следните изменения: Наблюдават се и сезонни изменения в теглото. Приемат се изменения и допълнения към Устава. Тук се размножават и предизвикват възпалителни изменения. Общо са направени 800 изменения. Бронирането не претърпява съществени изменения. При животните се откриват изменения при злокачествената форма. Срещат се и дегенеративни изменения в семенните каналчета. ТАВКР „Баку“ се строи по изменения проект 1143.4. Трансът се съпровожда с определени изменения на мозъчната дейност. На изменения е подложен и Светия Синод. Внесени са изменения в конструкцията на веригите. На храма са правени лоши архитектурни изменения. Оттогава стиховете претърпяват изменения няколко пъти. Настъпват съществени изменения в музикалната култура. По-късно той претърпява леки изменения. Настъпват съществени изменения в музикалната култура. Претърпява сериозни изменения само носовата надстройка. Хоризонталното брониране е оставено без изменения.',
    'Модификациите са обратими. Тези реакции са обратими. В началните стадии тези натрупвания са обратими. Всички такива ефекти са временни и обратими. Много от реакциите са обратими и идентични с тези при гликолизата. Ако в обращение има книжни пари, те са обратими в злато при поискване . Общо са направени 800 изменения. Непоследователността е представена от принципа на "симетрия", при който взаимоотношенията са разглеждани като симетрични или обратими. Откакто формулите в клетките на електронната таблица не са обратими, тази техника е с ограничена стойност. Ефектът на Пелтие-Зеебек и ефектът Томсън са обратими (ефектът на Пелтие е обратен на ефекта на Зеебек). Плазмолизата протича в три етапа, в зависимост от силата и продължителността на въздействието:\n\nПървите два етапа са обратими. Внесени са изменения в конструкцията на веригите. и са направени изменения в ходовата част. На храма са правени лоши архитектурни изменения. Изменения са предприети и вътре в двореца. Оттогава насетне екипите не са претърпявали съществени изменения. Изменения са направени и в колесника на машината. Тези изменения са обявени през октомври 1878 година. Последните изменения са внесени през януари 2009 година. В процеса на последващото проектиране са внесени някои изменения. Сериозните изменения са в края на Втората световна война. Внесени са изменения в конструкцията на погребите и подемниците. Внесени са изменения в конструкцията на погребите и подемниците. Внесени са изменения в конструкцията на погребите и подемниците. Постепенно задълбочаващите се функционални изменения довеждат и до структурни изменения.',
    'Ерозионни процеси от масов характер липсват. Обновлението в редиците на партията приема масов характер. Тя обаче няма масов характер поради спецификата на формата. Движението против десятъка придобива масов характер и в Балчишка околия. Понякога екзекутирането на „обсебените от Сатана“ взимало невероятно масов характер. Укриването на дължими като наряд продукти в селата придобива масов характер. Периодичните миграции са в повечето случаи с масов характер и са свързани със сезонните изменения в природата, а непериодичните са премествания на животни, които настъпват след пожари, замърсяване на средата, висока численост и др. Имат необратим характер. Именно по време на двувековните походи на западните рицари използването на гербовете придобива масов характер. След присъединяването на Южен Кавказ към Русия, изселването на азербайджанци от Грузия придобива масов характер. Те имат нормативен характер. Те имат установителен характер. Освобождаването на работна сила обикновено има масов характер, защото обхваща големи контингенти от носителите на труд. Валежите имат подчертано континентален характер. Имат най-често издънков характер. Приливите имат предимно полуденонощен характер. Някои от тях имат мистериален характер. Тези сведения имат случаен, епизодичен характер. Те имат сезонен или годишен характер. Временните обезпечителни мерки имат временен характер. Други имат пожелателен характер (Здравко, Слава). Ловът и събирачеството имат спомагателен характер. Фактически успяват само малко да усилят бронирането на артилерийските погреби, другите изменения носят само частен характер. Някои карикатури имат само развлекателен характер, докато други имат политически нюанси. Поемите на Хезиод имат по-приложен характер.'],
   'text': ['дължат се на фенотипни изменения',
    'имат масов характер',
    'са наследствени',
    'са обратими']},
  'stem': 'Мутационите изменения:'}}

Data Fields

A data instance contains the following fields:

  • id: A question ID, unique across the dataset
  • question: the question contains the following:
    • stem: a stemmed representation of the question textual
    • choices: a set of 3 to 5 candidate answers, which each have:
      • text: the text of the answers
      • label: a label in ['A', 'B', 'C', 'D', 'E'] used to match to the answerKey
      • para: (optional) a supported paragraph from Wikipedia in the same language as the question and answer
  • answerKey: the key corresponding to the right answer's label
  • info: some additional information on the question including:
    • grade: the school grade for the exam this question was taken from
    • subject: a free text description of the academic subject
    • language: the English name of the language for this question

Data Splits

Depending on the configuration, the dataset have different splits:

  • "alignments": a single "full" split
  • "multilingual" and "multilingual_with_para": "train", "validation" and "test" splits
  • "crosslingual_test" and "crosslingual_with_para_test": a single "test" split
  • the rest of crosslingual configurations: "train" and "validation" splits

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

Eχαµs was collected from official state exams prepared by the ministries of education of various countries. These exams are taken by students graduating from high school, and often require knowledge learned through the entire course.

The questions cover a large variety of subjects and material based on the country’s education system. They cover major school subjects such as Biology, Chemistry, Geography, History, and Physics, but we also highly specialized ones such as Agriculture, Geology, Informatics, as well as some applied and profiled studies.

Some countries allow students to take official examinations in several languages. This dataset provides 9,857 parallel question pairs spread across seven languages coming from Croatia (Croatian, Serbian, Italian, Hungarian), Hungary (Hungarian, German, French, Spanish, Croatian, Serbian, Italian), and North Macedonia (Macedonian, Albanian, Turkish).

For all languages in the dataset, the first step in the process of data collection was to download the PDF files per year, per subject, and per language (when parallel languages were available in the same source), convert the PDF files to text, and select those that were well formatted and followed the document structure.

Then, Regular Expressions (RegEx) were used to parse the questions, their corresponding choices and the correct answer choice. In order to ensure that all our questions are answerable using textual input only, questions that contained visual information were removed, as selected by using curated list of words such as map, table, picture, graph, etc., in the corresponding language.

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

The dataset, which contains paragraphs from Wikipedia, is licensed under CC-BY-SA 4.0. The code in this repository is licensed according the LICENSE file.

Citation Information

@article{hardalov2020exams,
  title={EXAMS: A Multi-subject High School Examinations Dataset for Cross-lingual and Multilingual Question Answering},
  author={Hardalov, Momchil and Mihaylov, Todor and Dimitrina Zlatkova and Yoan Dinkov and Ivan Koychev and Preslav Nvakov},
  journal={arXiv preprint arXiv:2011.03080},
  year={2020}
}

Contributions

Thanks to @yjernite for adding this dataset.