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Datasets:
who-is-tyler-durden
/
thailand-road-traffic-injury-aggregates-2018

Languages:
English
Thai
Tags:
thailand
bangkok
road-safety
traffic-injuries
injury-surveillance
public-health
License:
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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 1 new columns ({'quarter'}) and 2 missing columns ({'year', 'age_group'}).

This happened while the csv dataset builder was generating data using

hf://datasets/who-is-tyler-durden/thailand-road-traffic-injury-aggregates-2018/bkk_quarter_2018.csv (at revision a09de275103bdbbe36b626bdcf1208bfbc00bc5c)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              quarter: string
              cases: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 480
              to
              {'age_group': Value('string'), 'year': Value('int64'), 'cases': Value('int64')}
              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 1455, 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 1054, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, 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 1 new columns ({'quarter'}) and 2 missing columns ({'year', 'age_group'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/who-is-tyler-durden/thailand-road-traffic-injury-aggregates-2018/bkk_quarter_2018.csv (at revision a09de275103bdbbe36b626bdcf1208bfbc00bc5c)
              
              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.

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2,018
1,891
End of preview.

Thailand Road-Traffic Injury Aggregates (2018)

Canonical dataset page (EN/TH): https://bangkokfamilylawyer.com/datasets-injury-th/
DOI (this version): https://doi.org/10.5281/zenodo.17538573
Concept DOI (latest): https://doi.org/10.5281/zenodo.17538574

Author: Jean Maurice Cecilia Menzel
Publisher: AppDevBangkok / UdonLaw
License: CC BY 4.0

This repository provides aggregated indicators derived from Thailand’s official Injury Surveillance data (Department of Disease Control, Ministry of Public Health) for calendar year 2018.

All outputs are privacy-preserving aggregates; individual-level records are not included.

Contents

Key CSV files (2018 slice):

  • province_2018.csv — Cases by province.
  • bkk_quarter_2018.csv — Bangkok cases by quarter.
  • age_bins_2018.csv — Cases by age group.
  • sex_2018.csv — Cases by sex.
  • mode_mix_bkk_2018.csv — Mode / road-user mix for Bangkok.
  • top10_provinces_2018.csv — Top 10 provinces by case count.
  • bkk_top_amphoe_2018.csv — Leading Bangkok districts.
  • qa_year_counts_2018.csv — Year-level row counts (QA).
  • qa_coverage_province_2018.csv — Coverage / completeness indicators.
  • qa_summary.json — Human-readable QA summary.

File names may be extended as new QA tables or visualizations are added.

Source Data

Source dataset (not redistributed here):

The original dataset remains under its own terms and conditions. This repository only provides derived aggregates.

Methodology (summary)

  • Filtered to events in 2018.
  • Robust date parsing with support for Thai formats and Buddhist Era → Gregorian conversion.
  • Records with invalid or missing core fields are excluded from aggregates.
  • Aggregations computed by:
    • Province and (for Bangkok) district
    • Quarter (Q1–Q4)
    • Age groups
    • Sex
    • Selected mode / road-user categories
  • Small cells may be combined or omitted to reduce re-identification risk.

For full details, see the canonical documentation at:

https://bangkokfamilylawyer.com/datasets-injury-th/

How to use

Example (Python):

import pandas as pd
from datasets import load_dataset

ds = load_dataset(
    "appdevbangkok/thailand-road-traffic-injury-aggregates-2018",
    split="train"
)
# or load specific CSVs directly via raw URLs if preferred
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