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Datasets:
yuiseki
/
kyoto-bear-sighting

Modalities:
Geospatial
Languages:
Japanese
Size:
10K<n<100K
Tags:
japan
kyoto
bear
wildlife
geospatial
License:
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
retrieved: timestamp[s]
page: string
title: string
license_id: string
organization: string
metadata_modified: string
resource_name: string
resource_description: string
resource_last_modified: string
files: struct<260002bearfy.csv: struct<url: string, bytes: int64, sha256: string, last_modified: string>, p (... 63 chars omitted)
  child 0, 260002bearfy.csv: struct<url: string, bytes: int64, sha256: string, last_modified: string>
      child 0, url: string
      child 1, bytes: int64
      child 2, sha256: string
      child 3, last_modified: string
  child 1, package.json: struct<url: string, bytes: int64, sha256: string>
      child 0, url: string
      child 1, bytes: int64
      child 2, sha256: string
rows: int64
run: timestamp[s]
to
{'run': Value('timestamp[s]'), 'rows': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 544, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              retrieved: timestamp[s]
              page: string
              title: string
              license_id: string
              organization: string
              metadata_modified: string
              resource_name: string
              resource_description: string
              resource_last_modified: string
              files: struct<260002bearfy.csv: struct<url: string, bytes: int64, sha256: string, last_modified: string>, p (... 63 chars omitted)
                child 0, 260002bearfy.csv: struct<url: string, bytes: int64, sha256: string, last_modified: string>
                    child 0, url: string
                    child 1, bytes: int64
                    child 2, sha256: string
                    child 3, last_modified: string
                child 1, package.json: struct<url: string, bytes: int64, sha256: string>
                    child 0, url: string
                    child 1, bytes: int64
                    child 2, sha256: string
              rows: int64
              run: timestamp[s]
              to
              {'run': Value('timestamp[s]'), 'rows': Value('int64')}
              because column names don't match

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kyoto-bear-sighting

The bear (ツキノワグマ) sighting records of Kyoto Prefecture, FY2009 to FY2018 (from 2009-04-08 to 2018-12-10), as the prefecture's information policy division published them in the BODIK open data catalogue: 10,225 records, each with the place, the environment, the number of adults, juveniles and others, the situation and the action taken. As GeoParquet. The catalogue has not been updated since 2022-04-18; there is nothing here after December 2018.

Source

  • Catalogue entry: https://data.bodik.jp/dataset/260002_bear (京都府, データ提供元 on BODIK), titled 「【京都府】クマ目撃情報」, licence cc-by-40-intl (Creative Commons Attribution 4.0 International), metadata last modified 2022-04-18.
  • File: 260002bearfy.csv as served, the integrated file (統合版) of FY2009 to FY2018, the catalogue's own description: 「府内のクマ（ツキノワグマ）の目撃情報。平成21年度分～平成30年度分の統合版です。」 (UTF-8 with a byte order mark; 2,122,230 bytes), kept unchanged under raw/2026-10-26/ with its sha256 in MANIFEST.json, with the catalogue's package.json. Fetched 2026-10-26; the file was last modified 2022-04-18 according to the catalogue. The catalogue also has one CSV per fiscal year, an XLSX, an RDF, and an older file of FY2016; they were not downloaded.

Files

Path Content
parquet/sighting.parquet all 10,225 records
parquet/columns.json the row total
raw/2026-10-26/260002bearfy.csv the CSV as served

Columns

Column Source column Content
time_axis_code 時間軸コード text, the year with 100000
fiscal_year 年度 integer, equal to the fiscal year (April to March) of date in all rows (checked)
place 観察場所 municipality and place name as written
environment 環境区分 集落内 4,037, 路上 2,500, その他 1,853, 畑 614, 天然生林 221, 果樹園 166, 水田 164, 河川敷 145, 天然林 109, スギ林 101, 市街地 81, 竹林 25, 二次林 25, ヒノキ林 10, マツ林 8, 広葉樹林内 1
longitude, latitude 経度, 緯度 numbers
date 目撃年月日 date
adults_text, juveniles_text, others_text 成獣(匹), 幼獣(匹), その他(匹) text: numbers, and in others_text also 不明 (100 rows) and, in 1 row, a sentence
situation, individual_status, action 目撃時の状況, 個体の状況, その後の処置 free text; null when empty
municipality_code, municipality_code6, municipality 市町村コード, 市町村コード（6桁）, 市町村名 the codes as text
geometry the point as WKB (longitude, latitude), WGS84 assumed

What was changed

  • Column names and types: the source pads numbers with a trailing space (135.251591 ); the padding was stripped from every field, and the dates, the year and the coordinates were typed. An empty field is null. Nothing else was changed (the Parquet was checked against the CSV with a second CSV reader, every row and column). Nothing was removed, merged or corrected.
  • The source states no datum; WGS84 is assumed, and all points fall inside Kyoto Prefecture's bounding box with a margin (checked).

Counts

Fiscal year Records
2009 239
2010 1,975
2011 557
2012 513
2013 1,076
2014 1,077
2015 1,297
2016 1,494
2017 862
2018 1,135

Known issues

  • FY2009 to FY2018 only; FY2018 is up to 2018-12-10 (the catalogue's note on the yearly file says December). Newer Kyoto records are not in this catalogue entry.
  • The most repeated place is 「舞鶴市字三浜」 (48 records at one coordinate); 101 groups of records share place, coordinates and date (kept).
  • The counts of animals are text and have no total column; others_text has 不明 and one sentence that does not belong to a count (kept).
  • 67 fields hold line breaks (kept).
  • The number of records per year varies by a factor of eight; the source does not say how the records were collected, and a sighting record is a report, not a census.

Licence

The catalogue states Creative Commons Attribution 4.0 International (cc-by-40-intl) for the entry. This dataset is offered under CC BY 4.0 and the credit is to Kyoto Prefecture:

出典：京都府「クマ目撃情報」（https://data.bodik.jp/dataset/260002_bear）を加工して作成
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