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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 3 new columns ({'abs_match_count', 'term', 'rel_match_count'}) and 35 missing columns ({'JobArea', 'IsNativeEngSpeaker', 'IncomeRelativeCategory', 'FluentLanguagesProlific', 'TermsSelectedData', 'LanguageProlific', 'PrimaryLanguageProlific', 'EducationLevel', 'IsBornESC', 'AccuracyScore', 'TotalApprovalsOnProlific', 'FamiliarityCount3', 'EnglishProficiency', 'TimeTakenProlific', 'Illness', 'Gender', 'SexProlific', 'MedicalTermConfidence', 'CountriesLivedInLong', 'FamiliarityCount1', 'StudentStatusProlific', 'CountryOfResidenceProlific', 'QuestionnaireNumber', 'AreaOfInterest', 'EmploymentStatusProlific', 'AgeCategory', 'FamiliarityCount2', 'NationalityProlific', 'CountryOfBirthProlific', 'AgeProlific', 'IsMedicalProfessional', 'Languages', 'FamiliarityScore', 'FamiliarityCount4', 'EthnicitySimplifiedProlific'}).
This happened while the csv dataset builder was generating data using
hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology/terms/ac_black_frequencies.csv (at revision 566f00ff6d958d9ca3a7080dd4243e1211503cc0), ['hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/participants_annotated.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms/ac_black_frequencies.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms/aclandanatomy_frequencies.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms/aclandanatomy_glossary_frequencies.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms/chatgpt_frequencies.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms/covid_frequencies.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms/ema_frequencies.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms/google_frequencies.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms/mw_book_frequencies.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms/mw_web_frequencies.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms/oxford_frequencies.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms_annotated.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
Unnamed: 0: int64
term: string
abs_match_count: int64
rel_match_count: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 764
to
{'Unnamed: 0': Value('int64'), 'QuestionnaireNumber': Value('int64'), 'MedicalTermConfidence': Value('float64'), 'Gender': Value('string'), 'AgeCategory': Value('string'), 'IsNativeEngSpeaker': Value('string'), 'EnglishProficiency': Value('string'), 'Languages': Value('string'), 'CountriesLivedInLong': Value('string'), 'EducationLevel': Value('string'), 'IsMedicalProfessional': Value('string'), 'IncomeRelativeCategory': Value('string'), 'AreaOfInterest': Value('string'), 'Illness': Value('string'), 'JobArea': Value('string'), 'AccuracyScore': Value('float64'), 'FamiliarityScore': Value('int64'), 'FamiliarityCount1': Value('int64'), 'FamiliarityCount2': Value('int64'), 'FamiliarityCount3': Value('int64'), 'FamiliarityCount4': Value('int64'), 'TermsSelectedData': Value('string'), 'IsBornESC': Value('bool'), 'TimeTakenProlific': Value('float64'), 'TotalApprovalsOnProlific': Value('int64'), 'FluentLanguagesProlific': Value('string'), 'AgeProlific': Value('int64'), 'SexProlific': Value('string'), 'EthnicitySimplifiedProlific': Value('string'), 'CountryOfBirthProlific': Value('string'), 'CountryOfResidenceProlific': Value('string'), 'NationalityProlific': Value('string'), 'LanguageProlific': Value('string'), 'StudentStatusProlific': Value('string'), 'EmploymentStatusProlific': Value('string'), 'PrimaryLanguageProlific': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 3 new columns ({'abs_match_count', 'term', 'rel_match_count'}) and 35 missing columns ({'JobArea', 'IsNativeEngSpeaker', 'IncomeRelativeCategory', 'FluentLanguagesProlific', 'TermsSelectedData', 'LanguageProlific', 'PrimaryLanguageProlific', 'EducationLevel', 'IsBornESC', 'AccuracyScore', 'TotalApprovalsOnProlific', 'FamiliarityCount3', 'EnglishProficiency', 'TimeTakenProlific', 'Illness', 'Gender', 'SexProlific', 'MedicalTermConfidence', 'CountriesLivedInLong', 'FamiliarityCount1', 'StudentStatusProlific', 'CountryOfResidenceProlific', 'QuestionnaireNumber', 'AreaOfInterest', 'EmploymentStatusProlific', 'AgeCategory', 'FamiliarityCount2', 'NationalityProlific', 'CountryOfBirthProlific', 'AgeProlific', 'IsMedicalProfessional', 'Languages', 'FamiliarityScore', 'FamiliarityCount4', 'EthnicitySimplifiedProlific'}).
This happened while the csv dataset builder was generating data using
hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology/terms/ac_black_frequencies.csv (at revision 566f00ff6d958d9ca3a7080dd4243e1211503cc0), ['hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/participants_annotated.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms/ac_black_frequencies.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms/aclandanatomy_frequencies.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms/aclandanatomy_glossary_frequencies.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms/chatgpt_frequencies.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms/covid_frequencies.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms/ema_frequencies.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms/google_frequencies.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms/mw_book_frequencies.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms/mw_web_frequencies.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms/oxford_frequencies.csv', 'hf://datasets/liliya-makhmutova/lay_recognition_and_understanding_of_common_medical_terminology@566f00ff6d958d9ca3a7080dd4243e1211503cc0/terms_annotated.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Unnamed: 0 int64 | QuestionnaireNumber int64 | MedicalTermConfidence float64 | Gender string | AgeCategory string | IsNativeEngSpeaker string | EnglishProficiency string | Languages string | CountriesLivedInLong string | EducationLevel string | IsMedicalProfessional string | IncomeRelativeCategory string | AreaOfInterest string | Illness string | JobArea string | AccuracyScore float64 | FamiliarityScore int64 | FamiliarityCount1 int64 | FamiliarityCount2 int64 | FamiliarityCount3 int64 | FamiliarityCount4 int64 | TermsSelectedData string | IsBornESC bool | TimeTakenProlific float64 | TotalApprovalsOnProlific int64 | FluentLanguagesProlific string | AgeProlific int64 | SexProlific string | EthnicitySimplifiedProlific string | CountryOfBirthProlific string | CountryOfResidenceProlific string | NationalityProlific string | LanguageProlific string | StudentStatusProlific string | EmploymentStatusProlific string | PrimaryLanguageProlific null |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 1 | 3 | Female | Over 75 | No | Good/Intermediate | Spanish | Mexico | Less than a high school diploma | No | Approximately average | I haven't been involved in formal third-level education; | No | Accountancy, Finance & Insurance | 0.5 | 98 | 14 | 8 | 4 | 14 | [{'tonsillectomy': {'selected_familiarity_str': 'I never heard of this term before', 'selected_familiarity_score': 1, 'selected_definition_str': 'Surgery to remove the tonsils', 'is_correct_definition': 1}}, {'kidney failure': {'selected_familiarity_str': 'I know this term and know what it means', 'selected_familiarity... | false | 751 | 201 | English, Spanish | 70 | Male | White | DATA_EXPIRED | Mexico | Mexico | English | DATA_EXPIRED | DATA_EXPIRED | null |
1 | 1 | 5 | Female | 35-44 | Yes | null | null | South Africa | Undergraduate: Bachelors, Associate Degree | No | Approximately average | Humanities & Political sciences | No | Agriculture, Animals & Food;Creative Arts, Fashion & Media;Accountancy, Finance & Insurance;Business, Sales & Tourism | 0.3 | 107 | 4 | 12 | 17 | 7 | [{'tonsillectomy': {'selected_familiarity_str': 'I think I know something about this term and know something about its definition', 'selected_familiarity_score': 3, 'selected_definition_str': 'Surgery to remove the tonsils', 'is_correct_definition': 1}}, {'kidney failure': {'selected_familiarity_str': 'I know this term... | false | 919 | 126 | English, Other | 40 | Female | Black | South Africa | South Africa | South Africa | English | Yes | Full-Time | null |
2 | 1 | 7 | Female | Under 25 | Yes | Advanced | null | South Africa | Undergraduate: Bachelors, Associate Degree | No | Below average | Math & Computer Sciences | No | Accountancy, Finance & Insurance | 0.4 | 94 | 20 | 1 | 4 | 15 | [{'tonsillectomy': {'selected_familiarity_str': 'I never heard of this term before', 'selected_familiarity_score': 1, 'selected_definition_str': 'Surgery to remove the tonsils', 'is_correct_definition': 1}}, {'kidney failure': {'selected_familiarity_str': 'I know this term and know what it means', 'selected_familiarity... | false | 368 | 489 | English | 24 | Female | Black | South Africa | South Africa | South Africa | English | DATA_EXPIRED | Part-Time | null |
3 | 1 | 5 | Female | Under 25 | No | Good/Intermediate | Setswana, isiXhosa | South Africa | High school diploma, GED, Leaving Certificate, or GCSEs | No | Well below average | In the process of completing a degree in natural science | Yes, I have | Agriculture, Animals & Food;Healthcare, Wellbeing & Sport | 0.5 | 81 | 20 | 6 | 7 | 7 | [{'tonsillectomy': {'selected_familiarity_str': 'I think I know something about this term and know something about its definition', 'selected_familiarity_score': 3, 'selected_definition_str': 'Surgery to remove the tonsils', 'is_correct_definition': 1}}, {'kidney failure': {'selected_familiarity_str': 'I know this term... | false | 1,149 | 140 | English | 20 | Female | Black | South Africa | South Africa | South Africa | Other | Yes | Other | null |
4 | 1 | 8 | Female | Under 25 | Yes | Basic/Beginner | Afrikaans | South Africa | Undergraduate: Bachelors, Associate Degree | Yes | Approximately average | Natural Sciences;Humanities & Political sciences;Health Sciences | Yes, I have | Healthcare, Wellbeing & Sport;Government, Law & Education | 0.4 | 118 | 0 | 11 | 20 | 9 | [{'tonsillectomy': {'selected_familiarity_str': 'I think I know something about this term and know something about its definition', 'selected_familiarity_score': 3, 'selected_definition_str': 'Addressing a tonsils infection', 'is_correct_definition': 0}}, {'kidney failure': {'selected_familiarity_str': 'I think I know ... | false | 289 | 85 | Afrikaans | 20 | Female | Black | South Africa | South Africa | South Africa | English | Yes | Unemployed (and job seeking) | null |
5 | 1 | 6 | Male | Under 25 | No | Bilingual/Trilingual/Native equivalent | Spanish | Spain | Undergraduate: Bachelors, Associate Degree | No | Approximately average | Social Science;Engineering;Health Sciences | Yes, I have | Agriculture, Animals & Food | 0.6 | 99 | 12 | 6 | 13 | 9 | [{'tonsillectomy': {'selected_familiarity_str': 'I never heard of this term before', 'selected_familiarity_score': 1, 'selected_definition_str': 'Surgery to remove the tonsils', 'is_correct_definition': 1}}, {'kidney failure': {'selected_familiarity_str': 'I think I know something about this term and know something abo... | false | 710 | 74 | Basque, English, Spanish | 18 | Male | White | Spain | Spain | Spain | Spanish | Yes | Unemployed (and job seeking) | null |
6 | 1 | 10 | Female | 25-34 | Yes | Good/Intermediate | Afrikaans and Isizulu | South Africa | PhD | Yes | Below average | Math & Computer Sciences;Social Science;Humanities & Political sciences;Health Sciences | No | Healthcare, Wellbeing & Sport | 0.75 | 153 | 0 | 1 | 5 | 34 | [{'tonsillectomy': {'selected_familiarity_str': 'I know this term and know what it means', 'selected_familiarity_score': 4, 'selected_definition_str': 'Surgery to remove the tonsils', 'is_correct_definition': 1}}, {'kidney failure': {'selected_familiarity_str': 'I know this term and know what it means', 'selected_famil... | false | 2,494 | 0 | Afrikaans, English, French | 27 | Female | Black | South Africa | South Africa | South Africa | English | No | Full-Time | null |
7 | 1 | 1 | Male | 25-34 | No | Advanced | Polish | Poland | Masters/Postgrad Degree | No | Approximately average | Humanities & Political sciences | No | Government, Law & Education | 0.525 | 100 | 9 | 12 | 9 | 10 | [{'tonsillectomy': {'selected_familiarity_str': 'I never heard of this term before', 'selected_familiarity_score': 1, 'selected_definition_str': 'Surgery to remove the tonsils', 'is_correct_definition': 1}}, {'kidney failure': {'selected_familiarity_str': 'I know this term and know what it means', 'selected_familiarity... | false | 824 | 319 | English, Polish | 25 | Male | White | Poland | Poland | Poland | Polish | Yes | Unemployed (and job seeking) | null |
8 | 1 | 3 | Female | Under 25 | No | Advanced | Spanish | Mexico | Undergraduate: Bachelors, Associate Degree | No | Approximately average | Humanities & Political sciences | Yes, my close family member has | Accountancy, Finance & Insurance;Business, Sales & Tourism | 0.7 | 114 | 8 | 8 | 6 | 18 | [{'tonsillectomy': {'selected_familiarity_str': 'I know this term and know what it means', 'selected_familiarity_score': 4, 'selected_definition_str': 'Surgery to remove the tonsils', 'is_correct_definition': 1}}, {'kidney failure': {'selected_familiarity_str': 'I know this term and know what it means', 'selected_famil... | false | 2,651 | 232 | Spanish, English, French | 23 | Female | Mixed | Mexico | Mexico | Mexico | Spanish | Yes | Part-Time | null |
9 | 1 | 8 | Female | 35-44 | Yes | Advanced | Dutch ,German, | United Kingdom | Masters/Postgrad Degree | No | Well above average | Natural Sciences;Engineering | Yes, I have | STEM (Science, Technology, Engineering, and Mathematics), Environment & Construction | 0.5 | 143 | 2 | 4 | 3 | 31 | [{'tonsillectomy': {'selected_familiarity_str': 'I know this term and know what it means', 'selected_familiarity_score': 4, 'selected_definition_str': 'Surgery to remove the tonsils', 'is_correct_definition': 1}}, {'kidney failure': {'selected_familiarity_str': 'I know this term and know what it means', 'selected_famil... | false | 1,156 | 6 | Afrikaans, English, Dutch, Korean, Spanish | 40 | Female | Black | South Africa | South Africa | South Africa | English | Yes | Full-Time | null |
10 | 2 | 10 | Female | 45-54 | Yes | null | null | United States | High school diploma, GED, Leaving Certificate, or GCSEs | No | Below average | I haven't been involved in formal third-level education | Yes, both I and my family member have | Healthcare, Wellbeing & Sport | 0.625 | 141 | 0 | 9 | 1 | 30 | [{'carpal tunnel syndrome': {'selected_familiarity_str': 'I know this term and know what it means', 'selected_familiarity_score': 4, 'selected_definition_str': 'A condition where the hand loses its ability to grip due to nerve damage in the elbow', 'is_correct_definition': 0}}, {'toxic substance': {'selected_familiarit... | true | 765 | 182 | English | 50 | Female | White | United States | United States | United States | English | No | Not in paid work (e.g. homemaker', 'retired or disabled) | null |
11 | 2 | 2 | Female | 65-74 | Yes | null | null | United States | High school diploma, GED, Leaving Certificate, or GCSEs | No | Above average | I haven't been involved in formal third-level education | No | Business, Sales & Tourism | 0.7 | 127 | 7 | 4 | 4 | 25 | [{'carpal tunnel syndrome': {'selected_familiarity_str': 'I know this term and know what it means', 'selected_familiarity_score': 4, 'selected_definition_str': 'Pressure on a nerve in the wrist that causes tingling, numbness and pain in the hand and fingers', 'is_correct_definition': 1}}, {'toxic substance': {'selected... | true | 648 | 1,672 | English | 65 | Female | White | United States | United States | United States | English | No | Part-Time | null |
12 | 2 | 5 | Female | 35-44 | No | Advanced | Lithuanian | Lithuania, United Kingdom | Undergraduate: Bachelors, Associate Degree | No | Below average | I haven't been involved in formal third-level education | Yes, my close family member has | Business, Sales & Tourism | 0.6 | 97 | 11 | 9 | 12 | 8 | [{'carpal tunnel syndrome': {'selected_familiarity_str': 'I never heard of this term before', 'selected_familiarity_score': 1, 'selected_definition_str': 'A condition where the hand loses its ability to grip due to nerve damage in the elbow', 'is_correct_definition': 0}}, {'toxic substance': {'selected_familiarity_str'... | false | 1,265 | 994 | English, Lithuanian, French | 37 | Female | White | Lithuania | United Kingdom | Lithuania | Lithuanian | No | Full-Time | null |
13 | 2 | 7 | Male | 45-54 | Yes | null | welsh | United Kingdom | Undergraduate: Bachelors, Associate Degree | No | Above average | Humanities & Political sciences | No | STEM (Science, Technology, Engineering, and Mathematics), Environment & Construction | 0.625 | 124 | 7 | 6 | 3 | 24 | [{'carpal tunnel syndrome': {'selected_familiarity_str': 'I know this term and know what it means', 'selected_familiarity_score': 4, 'selected_definition_str': 'A condition where the hand loses its ability to grip due to nerve damage in the elbow', 'is_correct_definition': 0}}, {'toxic substance': {'selected_familiarit... | true | 833 | 559 | English | 53 | Male | White | United Kingdom | United Kingdom | United Kingdom | English | DATA_EXPIRED | DATA_EXPIRED | null |
14 | 2 | 10 | Female | 25-34 | Yes | Bilingual/Trilingual/Native equivalent | null | South Africa | Undergraduate: Bachelors, Associate Degree | Yes | Approximately average | Health Sciences | Yes, my close family member has | Healthcare, Wellbeing & Sport | 0.35 | 133 | 5 | 4 | 4 | 27 | [{'carpal tunnel syndrome': {'selected_familiarity_str': 'I know this term and know what it means', 'selected_familiarity_score': 4, 'selected_definition_str': 'Overly stretched muscles in the wrist, causing pain and discomfort in the hand', 'is_correct_definition': 0}}, {'toxic substance': {'selected_familiarity_str':... | false | 799 | 350 | English | 25 | Female | Black | South Africa | South Africa | South Africa | English | Yes | Full-Time | null |
15 | 2 | 5 | Female | 55-64 | Yes | null | null | United Kingdom | High school diploma, GED, Leaving Certificate, or GCSEs | No | Below average | I haven't been involved in formal third-level education | Yes, I have | Government, Law & Education | 0.6 | 90 | 15 | 9 | 7 | 9 | [{'carpal tunnel syndrome': {'selected_familiarity_str': 'I think I know something about this term and know something about its definition', 'selected_familiarity_score': 3, 'selected_definition_str': 'A type of arthritis in the wrist, causing inflammation and joint stiffness in the fingers', 'is_correct_definition': 0... | true | 1,086 | 1,090 | English | 64 | Female | White | United Kingdom | United Kingdom | United Kingdom | English | No | Not in paid work (e.g. homemaker', 'retired or disabled) | null |
End of preview.
Dataset Card for Lay Recognition and Understanding of Common Medical Terminology
Data from surveys of 252 participants assessing their recognition and understanding of 1,000 medical terms.
Citation
@inproceedings{makhmutova-etal-2025-evaluation,
title = "The Evaluation of Medical Terms Complexity Using Lexical Features and Large Language Models",
author = "Makhmutova, Liliya and Salton, Giancarlo Dondoni and Perez-Tellez, Fernando and Ross, Robert J.",
editor = "Angelova, Galia and Kunilovskaya, Maria and Escribe, Marie and Mitkov, Ruslan",
booktitle = "Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era",
month = sep,
year = "2025",
address = "Varna, Bulgaria",
publisher = "INCOMA Ltd., Shoumen, Bulgaria",
url = "https://aclanthology.org/2025.ranlp-1.79/",
pages = "682--693",
}
or
@article{MAKHMUTOVA2025326,
title = {Lay recognition and understanding of common medical terminology: personal profile analysis},
journal = {Procedia Computer Science},
volume = {272},
pages = {326-334},
year = {2025},
note = {16th International Conference on Emerging Ubiquitous Systems and Pervasive Networks / 15th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare},
issn = {1877-0509},
doi = {https://doi.org/10.1016/j.procs.2025.10.212},
url = {https://www.sciencedirect.com/science/article/pii/S1877050925035598},
author = {Liliya Makhmutova and Fernando Perez-Tellez and Giancarlo Salton and Robert J. Ross},
keywords = {Health Literacy, Medical Terms, Medical Jargon}
}
Dataset Card Contact
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Curated by:
Liliya Makhmutova, Fernando Perez-Tellez, and Robert Ross
Funded by:
Science Foundation Ireland under Grant number 18/CRT/6183 and the ADAPT SFI Research Centre for AI-Driven Digital Content Technology under Grant No. 13/RC/2106/P2
Language(s) (NLP):
English
License:
CC-BY-NC-4.0
Total file size:
5.79 MB