Datasets:

HUMADEX
/

dementia_education_chatbot_sources

License:

Dataset Preview

Split (1)

train

The full dataset viewer is not available (click to read why). Only showing a preview of the rows.

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 9 new columns ({'user_id', 'interaction_id', 'answer', 'relationship', 'question', 'timestamp_interaction', 'language', 'study_group', 'answer_style'}) and 4 missing columns ({'file_name', 'dtype', 'column_name', 'description'}).

This happened while the csv dataset builder was generating data using

hf://datasets/HUMADEX/dementia_education_chatbot_sources/expert_prompts.csv (at revision b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7), [/tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/codebook.csv (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/codebook.csv), /tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/expert_prompts.csv (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/expert_prompts.csv), /tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/expert_sus.csv (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/expert_sus.csv), /tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/index.zip (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/index.zip), /tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/master_experts_interactions_users_flat.csv (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/master_experts_interactions_users_flat.csv), /tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/master_patients_caregivers_interactions_users_flat.csv (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/master_patients_caregivers_interactions_users_flat.csv), /tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/participants_experts.csv (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/participants_experts.csv), /tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/participants_users.csv (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/participants_users.csv), /tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/response_ratings.csv (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/response_ratings.csv), /tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/session_logs.csv (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/session_logs.csv), /tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/source_ratings.csv (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/source_ratings.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/python3.12/site-packages/datasets/builder.py", line 1893, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              user_id: string
              study_group: string
              interaction_id: int64
              question: string
              answer_style: string
              answer: string
              timestamp_interaction: string
              language: string
              relationship: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1356
              to
              {'file_name': Value('string'), 'column_name': Value('string'), 'dtype': Value('string'), 'description': 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 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1895, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              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 9 new columns ({'user_id', 'interaction_id', 'answer', 'relationship', 'question', 'timestamp_interaction', 'language', 'study_group', 'answer_style'}) and 4 missing columns ({'file_name', 'dtype', 'column_name', 'description'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/HUMADEX/dementia_education_chatbot_sources/expert_prompts.csv (at revision b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7), [/tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/codebook.csv (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/codebook.csv), /tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/expert_prompts.csv (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/expert_prompts.csv), /tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/expert_sus.csv (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/expert_sus.csv), /tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/index.zip (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/index.zip), /tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/master_experts_interactions_users_flat.csv (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/master_experts_interactions_users_flat.csv), /tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/master_patients_caregivers_interactions_users_flat.csv (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/master_patients_caregivers_interactions_users_flat.csv), /tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/participants_experts.csv (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/participants_experts.csv), /tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/participants_users.csv (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/participants_users.csv), /tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/response_ratings.csv (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/response_ratings.csv), /tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/session_logs.csv (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/session_logs.csv), /tmp/hf-datasets-cache/medium/datasets/81228417357938-config-parquet-and-info-HUMADEX-dementia_educatio-13cf565e/hub/datasets--HUMADEX--dementia_education_chatbot_sources/snapshots/b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/source_ratings.csv (origin=hf://datasets/HUMADEX/dementia_education_chatbot_sources@b149d4defe3f9c6bd6e0e3d0e1ad087a604d52b7/source_ratings.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.

file_name string	column_name string	dtype string	description string
participants_experts.csv	user_id	object	Unique participant identifier.
participants_experts.csv	study_group	object	Study subgroup label.
participants_experts.csv	age_group	object	Participant age group captured at registration.
participants_experts.csv	gender	object	Participant gender captured at registration.
participants_experts.csv	relationship	object	Participant role/relationship to the study.
participants_experts.csv	stage	object	Stage or caregiving stage reported at registration.
participants_experts.csv	diagnosis	float64	Primary diagnosis captured at registration.
participants_experts.csv	diagnosis_other	float64	Free-text diagnosis details when diagnosis is recorded as other.
participants_experts.csv	language	object	Preferred language or language used for the interaction.
participants_experts.csv	device	object	Device(s) used by the participant.
participants_experts.csv	tech_comfort	object	Self-reported comfort with technology.
participants_experts.csv	tech_savviness	float64	Self-reported technology proficiency.
participants_experts.csv	has_support	float64	Whether the participant reports having support.
participants_experts.csv	experience	float64	Self-reported experience level.
participants_experts.csv	occupation	object	Occupation or profession captured at registration.
participants_experts.csv	timestamp_user	object	Timestamp when the participant profile was created.
participants_experts.csv	queries_completed	int64	Number of completed queries recorded for the user.
participants_experts.csv	sus_q1	float64	System Usability Scale item 1 response.
participants_experts.csv	sus_q2	float64	System Usability Scale item 2 response.
participants_experts.csv	sus_q3	float64	System Usability Scale item 3 response.
participants_experts.csv	sus_q4	float64	System Usability Scale item 4 response.
participants_experts.csv	sus_q5	float64	System Usability Scale item 5 response.
participants_experts.csv	sus_q6	float64	System Usability Scale item 6 response.
participants_experts.csv	sus_q7	float64	System Usability Scale item 7 response.
participants_experts.csv	sus_q8	float64	System Usability Scale item 8 response.
participants_experts.csv	sus_q9	float64	System Usability Scale item 9 response.
participants_experts.csv	sus_q10	float64	System Usability Scale item 10 response.
participants_experts.csv	sus_score	float64	Computed System Usability Scale score.
participants_experts.csv	sus_completed_at	object	Timestamp when the SUS questionnaire was completed.
participants_experts.csv	phase	object	Export phase label used to distinguish expert and patient/caregiver records.
expert_prompts.csv	user_id	object	Unique participant identifier.
expert_prompts.csv	study_group	object	Study subgroup label.
expert_prompts.csv	interaction_id	int64	Interaction identifier from the source master table.
expert_prompts.csv	question	object	User or expert prompt text.
expert_prompts.csv	answer_style	object	Selected response style or role-specific instruction label.
expert_prompts.csv	answer	object	Generated AI answer text.
expert_prompts.csv	timestamp_interaction	object	Timestamp when the interaction was recorded.
expert_prompts.csv	language	object	Preferred language or language used for the interaction.
expert_prompts.csv	relationship	object	Participant role/relationship to the study.
source_ratings.csv	user_id	object	Unique participant identifier.
source_ratings.csv	study_group	object	Study subgroup label.
source_ratings.csv	interaction_id	int64	Interaction identifier from the source master table.
source_ratings.csv	question	object	User or expert prompt text.
source_ratings.csv	timestamp_interaction	object	Timestamp when the interaction was recorded.
source_ratings.csv	source_idx	int64	Derived or source-specific field included in the publication export.
source_ratings.csv	source_title	object	Title of the rated source item.
source_ratings.csv	source_ref	object	Source URL or source reference string for the rated item.
source_ratings.csv	source_rating	float64	Numeric or categorical rating assigned to the source item.
expert_sus.csv	user_id	object	Unique participant identifier.
expert_sus.csv	study_group	object	Study subgroup label.
expert_sus.csv	sus_q1	float64	System Usability Scale item 1 response.
expert_sus.csv	sus_q2	float64	System Usability Scale item 2 response.
expert_sus.csv	sus_q3	float64	System Usability Scale item 3 response.
expert_sus.csv	sus_q4	float64	System Usability Scale item 4 response.
expert_sus.csv	sus_q5	float64	System Usability Scale item 5 response.
expert_sus.csv	sus_q6	float64	System Usability Scale item 6 response.
expert_sus.csv	sus_q7	float64	System Usability Scale item 7 response.
expert_sus.csv	sus_q8	float64	System Usability Scale item 8 response.
expert_sus.csv	sus_q9	float64	System Usability Scale item 9 response.
expert_sus.csv	sus_q10	float64	System Usability Scale item 10 response.
expert_sus.csv	sus_score	float64	Computed System Usability Scale score.
expert_sus.csv	sus_completed_at	object	Timestamp when the SUS questionnaire was completed.
participants_users.csv	user_id	object	Unique participant identifier.
participants_users.csv	study_group	object	Study subgroup label.
participants_users.csv	age_group	object	Participant age group captured at registration.
participants_users.csv	gender	object	Participant gender captured at registration.
participants_users.csv	relationship	object	Participant role/relationship to the study.
participants_users.csv	stage	float64	Stage or caregiving stage reported at registration.
participants_users.csv	diagnosis	object	Primary diagnosis captured at registration.
participants_users.csv	diagnosis_other	object	Free-text diagnosis details when diagnosis is recorded as other.
participants_users.csv	language	object	Preferred language or language used for the interaction.
participants_users.csv	device	object	Device(s) used by the participant.
participants_users.csv	tech_comfort	object	Self-reported comfort with technology.
participants_users.csv	tech_savviness	int64	Self-reported technology proficiency.
participants_users.csv	has_support	object	Whether the participant reports having support.
participants_users.csv	experience	float64	Self-reported experience level.
participants_users.csv	occupation	float64	Occupation or profession captured at registration.
participants_users.csv	timestamp_user	object	Timestamp when the participant profile was created.
participants_users.csv	queries_completed	int64	Number of completed queries recorded for the user.
participants_users.csv	sus_q1	int64	System Usability Scale item 1 response.
participants_users.csv	sus_q2	int64	System Usability Scale item 2 response.
participants_users.csv	sus_q3	int64	System Usability Scale item 3 response.
participants_users.csv	sus_q4	int64	System Usability Scale item 4 response.
participants_users.csv	sus_q5	int64	System Usability Scale item 5 response.
participants_users.csv	sus_q6	int64	System Usability Scale item 6 response.
participants_users.csv	sus_q7	int64	System Usability Scale item 7 response.
participants_users.csv	sus_q8	int64	System Usability Scale item 8 response.
participants_users.csv	sus_q9	int64	System Usability Scale item 9 response.
participants_users.csv	sus_q10	int64	System Usability Scale item 10 response.
participants_users.csv	sus_score	float64	Computed System Usability Scale score.
participants_users.csv	sus_completed_at	object	Timestamp when the SUS questionnaire was completed.
participants_users.csv	phase	object	Export phase label used to distinguish expert and patient/caregiver records.
session_logs.csv	phase	object	Export phase label used to distinguish expert and patient/caregiver records.
session_logs.csv	user_id	object	Unique participant identifier.
session_logs.csv	study_group	object	Study subgroup label.
session_logs.csv	session_id	object	Derived session identifier, using user_id as the stable session key.
session_logs.csv	event_type	object	Derived event type in the session log export.
session_logs.csv	event_timestamp	object	Timestamp of the derived event in the session log export.
session_logs.csv	interaction_id	float64	Interaction identifier from the source master table.
response_ratings.csv	user_id	object	Unique participant identifier.

End of preview.

Dementia Education Chatbot Sources

Dataset Summary

This dataset contains the reproducibility and analysis artifacts used in the AI4HOPE Dementia Companion project. It includes the merged multilingual source metadata table, the normalized study export tables, and the accompanying codebook used to document the columns in each release file.

The dataset was created from language-specific crawl and preprocessing outputs and then organized into publication-ready tabular files for source analysis, provenance tracking, retrieval indexing, and downstream statistical analysis.

Dataset Structure

Source metadata

File name: sources.parquet
Rows: 4,470
Columns: 45

Normalized study exports

participants_experts.csv
expert_prompts.csv
source_ratings.csv
expert_sus.csv
participants_users.csv
session_logs.csv
response_ratings.csv
codebook.csv

Language Distribution

For sources.parquet:

de: 312
en: 3,018
es: 451
pt: 206
sl: 483

Dataset Creation

The source metadata was produced by processing language-specific crawl outputs from the project pipeline. The resulting metadata parquet files were transformed into a unified source table for publication and reproducibility.

The normalized CSV exports were created from the study master tables by separating participants, prompts, source ratings, usability scores, response ratings, and session-level event logs into tidy, analysis-ready files. The codebook.csv file provides a schema description for all published columns and supports re-use by external researchers.

Intended Use

This dataset is intended for:

source analysis
multilingual retrieval and indexing
reproducible research workflows
publication support material
quality control and provenance inspection
study analysis and re-use of normalized export tables

Notes

This is a research-oriented dataset, not a raw text corpus.
session_logs.csv is a derived event log created from available timestamps in the study exports.
It is suitable for research and reproducibility purposes.
Please cite the associated AI4HOPE project and publication when using this dataset.

Citation

If you use this dataset, please cite the AI4HOPE project and the associated publication.

Repos

Github

Zenodo

License

Use a license consistent with the publication and the underlying source material.
If the dataset includes only derived metadata and normalized exports, a permissive research-friendly license is usually appropriate, but the final license should match your project policy and source constraints.

Funding

Funded by the European Union (AI4HOPE, 101136769). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Health and Digital Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.

This work was funded by UK Research and Innovation (UKRI) under the UK government's Horizon Europe funding guarantee [Grant No. 101136769].

Contact

Downloads last month: 139

Total file size:

277 MB