nanbu-bus — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-09-11T21:07:51Z,
for the dataset file:///shared/nanbu-bus_4173a694.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
南部バス
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2026-07-01
Feed End Date:
2026-10-31

Files included


  1. agency.txt
  2. agency_jp.txt
  3. calendar.txt
  4. calendar_dates.txt
  5. fare_attributes.txt
  6. fare_rules.txt
  7. feed_info.txt
  8. office_jp.txt
  9. routes.txt
  10. shapes.txt
  11. stop_times.txt
  12. stops.txt
  13. translations.txt
  14. trips.txt

Counts


  • Agencies: 2
  • Blocks: 0
  • Routes: 305
  • Shapes: 303
  • Stops: 1314
  • Trips: 1462

Specification Compliance report

89943 notices reported (6 errors, 88473 warnings, 1464 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 6

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

tripId (?) The id of the faulty trip. stopId (?) The id of the faulty stop. csvRowNumber (?) The row number from `stop_times.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. stopSequence (?) The faulty record's `stop_times.stop_sequence`. prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time. prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"日祝-28802-945" "5093-1" 40262 3200.0 6 40261 3200.0 5
"土曜-28802-981" "5093-1" 27748 3200.0 6 27747 3200.0 5
"土曜-28802-982" "5093-1" 27737 3200.0 6 27736 3200.0 5
"日祝-28802-940" "5093-1" 40273 3200.0 6 40272 3200.0 5
"土曜-28801-980" "5129-1" 27727 1800.0 7 27726 1800.0 6
"日祝-28801-936" "5129-1" 40252 1800.0 7 40251 1800.0 6
duplicate_route_name WARNING 44

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
121 "20651" 122 "20652" "" "(五戸町コミュニティバス)町内循環(内回り)線_五戸駅前行き" 3 "1420001006267"
127 "22202" 128 "22212" "" "(五戸町コミュニティバス)上市川線_中央行き" 3 "1420001006267"
127 "22202" 130 "22312" "" "(五戸町コミュニティバス)上市川線_中央行き" 3 "1420001006267"
129 "22311" 131 "22321" "" "(五戸町コミュニティバス)上市川線_上市川団地行き" 3 "1420001006267"
127 "22202" 133 "22422" "" "(五戸町コミュニティバス)上市川線_中央行き" 3 "1420001006267"
127 "22202" 135 "22512" "" "(五戸町コミュニティバス)上市川線_中央行き" 3 "1420001006267"
136 "23021" 138 "23031" "" "(五戸町コミュニティバス)大久木・総合病院経由線_大久木集会所行き" 3 "1420001006267"
137 "23022" 139 "23032" "" "(五戸町コミュニティバス)大久木・総合病院経由線_中央行き" 3 "1420001006267"
140 "23121" 142 "23131" "" "(五戸町コミュニティバス)池ノ堂・総合病院経由線_池ノ堂自治会館行き" 3 "1420001006267"
141 "23122" 143 "23132" "" "(五戸町コミュニティバス)池ノ堂・総合病院経由線_中央行き" 3 "1420001006267"
184 "33301" 185 "33302" "" "(田子町コミュニティバス)清水頭線_創遊村経由、サンモール田子行き" 3 "1420001006267"
217 "50032" 218 "50042" "" "(なんぶちぇりバス)三戸駅線_三戸駅行" 3 "1420001006267"
217 "50032" 219 "50044" "" "(なんぶちぇりバス)三戸駅線_三戸駅行" 3 "1420001006267"
216 "50011" 220 "50051" "" "(なんぶちぇりバス)三戸駅線_バーデハウス行" 3 "1420001006267"
217 "50032" 221 "50052" "" "(なんぶちぇりバス)三戸駅線_三戸駅行" 3 "1420001006267"
222 "50111" 224 "50162" "" "(なんぶちぇりバス)二又線_三戸駅行" 3 "1420001006267"
225 "50222" 226 "50224" "" "(なんぶちぇりバス)麦沢線_麦沢第3行き" 3 "1420001006267"
227 "50225" 228 "50227" "" "(なんぶちぇりバス)麦沢線_ゆとりあ前行" 3 "1420001006267"
225 "50222" 229 "50273" "" "(なんぶちぇりバス)麦沢線_麦沢第3行き" 3 "1420001006267"
230 "50302" 232 "50304" "" "(なんぶちぇりバス)椛木線_羽黒行き" 3 "1420001006267"
231 "50303" 233 "50305" "" "(なんぶちぇりバス)椛木線_バーデハウス行き" 3 "1420001006267"
234 "50362" 236 "50376" "" "(なんぶちぇりバス)椛木線_ゆとりあ経由羽黒行き" 3 "1420001006267"
237 "50412" 239 "50414" "" "(なんぶちぇりバス)埖渡線_北山行き_夏季" 3 "1420001006267"
238 "50413" 240 "50415" "" "(なんぶちぇりバス)埖渡線_バーデハウス行き_夏季" 3 "1420001006267"
242 "50423" 244 "50425" "" "(なんぶちぇりバス)埖渡線_バーデハウス行き_冬季" 3 "1420001006267"
242 "50423" 245 "50426" "" "(なんぶちぇりバス)埖渡線_バーデハウス行き_冬季" 3 "1420001006267"
248 "50511" 249 "50512" "" "(なんぶちぇりバス)三戸駅線_福田大橋行" 3 "1420001006267"
250 "51011" 253 "51052" "" "(なんぶちぇりバス)法光寺・諏訪ノ平方面_医療健康センター行" 3 "1420001006267"
258 "51523" 259 "51531" "" "(なんぶちぇりバス)助川・黒坂方面_剣吉駅行" 3 "1420001006267"
258 "51523" 264 "51615" "" "(なんぶちぇりバス)助川・黒坂方面_剣吉駅行" 3 "1420001006267"
263 "51607" 265 "51616" "" "(なんぶちぇりバス)助川・黒坂方面_卯月沢行" 3 "1420001006267"
266 "52005" 267 "52013" "" "(なんぶちぇりバス)チェリーセンター方面_南部町役場行" 3 "1420001006267"
269 "52501" 270 "52522" "" "(なんぶちぇりバス)鳥谷・石和・高屋敷方面_剣吉駅行" 3 "1420001006267"
269 "52501" 271 "52532" "" "(なんぶちぇりバス)鳥谷・石和・高屋敷方面_剣吉駅行" 3 "1420001006267"
272 "52534" 273 "52536" "" "(なんぶちぇりバス)鳥谷・石和・高屋敷方面_南部町役場行" 3 "1420001006267"
275 "52592" 276 "52594" "" "(なんぶちぇりバス)鳥谷・石和・高屋敷方面_医療健康センター行" 3 "1420001006267"
275 "52592" 278 "52722" "" "(なんぶちぇりバス)鳥谷・石和・高屋敷方面_医療健康センター行" 3 "1420001006267"
272 "52534" 279 "52734" "" "(なんぶちぇりバス)鳥谷・石和・高屋敷方面_南部町役場行" 3 "1420001006267"
274 "52552" 280 "52761" "" "(なんぶちぇりバス)鳥谷・石和・高屋敷方面_高屋敷行" 3 "1420001006267"
283 "53082" 284 "53112" "" "(なんぶちぇりバス)剣吉駅・剣吉山方面_剣吉駅行" 3 "1420001006267"
282 "53072" 286 "53179" "" "(なんぶちぇりバス)剣吉駅・剣吉山方面_南部町役場行" 3 "1420001006267"
285 "53164" 287 "53322" "" "(なんぶちぇりバス)剣吉駅・剣吉山方面_剣吉山行" 3 "1420001006267"
289 "53401" 290 "53403" "" "(なんぶちぇりバス)剣吉駅循環線内回り_剣吉駅行" 3 "1420001006267"
291 "53502" 292 "53504" "" "(なんぶちぇりバス)剣吉駅循環線外回り_剣吉駅行" 3 "1420001006267"
expired_calendar WARNING 3

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
19 "平日_135_▲船SE"
20 "土曜_135_▲船SE"
21 "日祝_135_▲船SE"
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
missing_timepoint_value WARNING 42257

missing_timepoint_value

stop_times.timepoint value is missing for a record.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

Only the first 50 of 42257 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "平日-11-901" 1
3 "平日-11-901" 2
4 "平日-11-901" 3
5 "平日-11-901" 4
6 "平日-11-901" 5
7 "平日-11-901" 6
8 "平日-11-901" 7
9 "平日-11-901" 8
10 "平日-11-902" 1
11 "平日-11-902" 2
12 "平日-11-902" 3
13 "平日-11-902" 4
14 "平日-11-902" 5
15 "平日-11-902" 6
16 "平日-11-902" 7
17 "平日-11-902" 8
18 "平日-11-903" 1
19 "平日-11-903" 2
20 "平日-11-903" 3
21 "平日-11-903" 4
22 "平日-11-903" 5
23 "平日-11-903" 6
24 "平日-11-903" 7
25 "平日-11-903" 8
26 "平日-11-905" 1
27 "平日-11-905" 2
28 "平日-11-905" 3
29 "平日-11-905" 4
30 "平日-11-905" 5
31 "平日-11-905" 6
32 "平日-11-905" 7
33 "平日-11-905" 8
34 "平日-11-906" 1
35 "平日-11-906" 2
36 "平日-11-906" 3
37 "平日-11-906" 4
38 "平日-11-906" 5
39 "平日-11-906" 6
40 "平日-11-906" 7
41 "平日-11-906" 8
42 "平日-11-907" 1
43 "平日-11-907" 2
44 "平日-11-907" 3
45 "平日-11-907" 4
46 "平日-11-907" 5
47 "平日-11-907" 6
48 "平日-11-907" 7
49 "平日-11-907" 8
50 "平日-11-909" 1
51 "平日-11-909" 2
mixed_case_recommended_field WARNING 453

mixed_case_recommended_field

This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).

This field contains customer-facing text and should use Mixed Case (upper and lower case letters) to ensure good readability when displayed to riders. Avoid the use of abbreviations throughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name (e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader software and voice user interfaces.

Good examples:
Field Text Dataset
"Schwerin, Hauptbahnhof" Verkehrsverbund Berlin-Brandenburg
"Red Hook/Atlantic Basin" NYC Ferry
"Campo Grande Norte" Carris
Bad examples:
Field Text
"GALLERIA MALL"
"3427 GG 17"
"21 Clark Rd Est"

You can see more about this notice here.

Only the first 50 of 453 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"trips.txt" "trip_headsign" "西高校前(八戸)" 109
"trips.txt" "trip_headsign" "西高校前(八戸)" 114
"trips.txt" "trip_headsign" "市民病院(八戸)" 115
"trips.txt" "trip_headsign" "市民病院(八戸)" 116
"trips.txt" "trip_headsign" "市民病院(八戸)" 117
"trips.txt" "trip_headsign" "市民病院(八戸)" 131
"trips.txt" "trip_headsign" "西高校前(八戸)" 143
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 148
"trips.txt" "trip_headsign" "中心街ターミナル3番(中央通り)" 206
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 215
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 216
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 217
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 218
"trips.txt" "trip_headsign" "市民病院(八戸)" 219
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 229
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 232
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 233
"trips.txt" "trip_headsign" "中心街ターミナル1番(三日町)" 270
"trips.txt" "trip_headsign" "中心街ターミナル1番(三日町)" 271
"trips.txt" "trip_headsign" "黒坂(名川)" 555
"trips.txt" "trip_headsign" "黒坂(名川)" 556
"trips.txt" "trip_headsign" "黒坂(名川)" 557
"trips.txt" "trip_headsign" "黒坂(名川)" 558
"trips.txt" "trip_headsign" "高屋敷(名川)" 570
"trips.txt" "trip_headsign" "東京ディズニーシー・バスターミナル・サウ" 592
"trips.txt" "trip_headsign" "東京ディズニーシー・バスターミナル・サウ" 596
"trips.txt" "trip_headsign" "西高校前(八戸)" 699
"trips.txt" "trip_headsign" "西高校前(八戸)" 721
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 731
"trips.txt" "trip_headsign" "中心街ターミナル3番(中央通り)" 785
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 791
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 792
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 793
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 794
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 795
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 805
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 806
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 807
"trips.txt" "trip_headsign" "杉沢(名川)" 1014
"trips.txt" "trip_headsign" "高屋敷(名川)" 1018
"trips.txt" "trip_headsign" "東京ディズニーシー・バスターミナル・サウ" 1038
"trips.txt" "trip_headsign" "東京ディズニーシー・バスターミナル・サウ" 1042
"trips.txt" "trip_headsign" "西高校前(八戸)" 1146
"trips.txt" "trip_headsign" "西高校前(八戸)" 1168
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 1178
"trips.txt" "trip_headsign" "中心街ターミナル3番(中央通り)" 1232
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 1238
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 1239
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 1240
"trips.txt" "trip_headsign" "中心街ターミナル2番(八日町)" 1241
non_ascii_or_non_printable_char WARNING 45715

non_ascii_or_non_printable_char

Non ascii or non printable char in ID field.

A value of a field with type ID contains non ASCII or non printable characters. This is not recommended.

You can see more about this notice here.

Only the first 50 of 45715 affected records are displayed below.

filename (?) Name of the faulty file. csvRowNumber (?) Row number of the faulty record. columnName (?) Name of the column where the error occurred. fieldValue (?) Faulty value.
"stop_times.txt" 2 "trip_id" "平日-11-901"
"stop_times.txt" 3 "trip_id" "平日-11-901"
"stop_times.txt" 4 "trip_id" "平日-11-901"
"stop_times.txt" 5 "trip_id" "平日-11-901"
"stop_times.txt" 6 "trip_id" "平日-11-901"
"stop_times.txt" 7 "trip_id" "平日-11-901"
"stop_times.txt" 8 "trip_id" "平日-11-901"
"stop_times.txt" 9 "trip_id" "平日-11-901"
"stop_times.txt" 10 "trip_id" "平日-11-902"
"stop_times.txt" 11 "trip_id" "平日-11-902"
"stop_times.txt" 12 "trip_id" "平日-11-902"
"stop_times.txt" 13 "trip_id" "平日-11-902"
"stop_times.txt" 14 "trip_id" "平日-11-902"
"stop_times.txt" 15 "trip_id" "平日-11-902"
"stop_times.txt" 16 "trip_id" "平日-11-902"
"stop_times.txt" 17 "trip_id" "平日-11-902"
"stop_times.txt" 18 "trip_id" "平日-11-903"
"stop_times.txt" 19 "trip_id" "平日-11-903"
"stop_times.txt" 20 "trip_id" "平日-11-903"
"stop_times.txt" 21 "trip_id" "平日-11-903"
"stop_times.txt" 22 "trip_id" "平日-11-903"
"stop_times.txt" 23 "trip_id" "平日-11-903"
"stop_times.txt" 24 "trip_id" "平日-11-903"
"stop_times.txt" 25 "trip_id" "平日-11-903"
"stop_times.txt" 26 "trip_id" "平日-11-905"
"stop_times.txt" 27 "trip_id" "平日-11-905"
"stop_times.txt" 28 "trip_id" "平日-11-905"
"stop_times.txt" 29 "trip_id" "平日-11-905"
"stop_times.txt" 30 "trip_id" "平日-11-905"
"stop_times.txt" 31 "trip_id" "平日-11-905"
"stop_times.txt" 32 "trip_id" "平日-11-905"
"stop_times.txt" 33 "trip_id" "平日-11-905"
"stop_times.txt" 34 "trip_id" "平日-11-906"
"stop_times.txt" 35 "trip_id" "平日-11-906"
"stop_times.txt" 36 "trip_id" "平日-11-906"
"stop_times.txt" 37 "trip_id" "平日-11-906"
"stop_times.txt" 38 "trip_id" "平日-11-906"
"stop_times.txt" 39 "trip_id" "平日-11-906"
"stop_times.txt" 40 "trip_id" "平日-11-906"
"stop_times.txt" 41 "trip_id" "平日-11-906"
"stop_times.txt" 42 "trip_id" "平日-11-907"
"stop_times.txt" 43 "trip_id" "平日-11-907"
"stop_times.txt" 44 "trip_id" "平日-11-907"
"stop_times.txt" 45 "trip_id" "平日-11-907"
"stop_times.txt" 46 "trip_id" "平日-11-907"
"stop_times.txt" 47 "trip_id" "平日-11-907"
"stop_times.txt" 48 "trip_id" "平日-11-907"
"stop_times.txt" 49 "trip_id" "平日-11-907"
"stop_times.txt" 50 "trip_id" "平日-11-909"
"stop_times.txt" 51 "trip_id" "平日-11-909"
big_gap_in_service INFO 2

big_gap_in_service

A service has a gap of more than 13 days between active service dates.

You can see more about this notice here.

serviceId (?) The service_id that has the gap. gapStartDate (?) The first day of the gap. gapEndDate (?) The last day of the gap. gapDurationDays (?) The number of days in the gap.
"平日_0010_▲専休" "2026-07-31" "2026-09-14" 44
"平日_0020_▲ウ専休" "2026-07-31" "2026-08-24" 23
trip_with_shape_dist_traveled_but_no_shape_distances INFO 1456

trip_with_shape_dist_traveled_but_no_shape_distances

A trip has shape_dist_traveled values in stop_times.txt but the shape referenced by the trip's shape_id does not have shape_dist_traveled values on all of its points in shapes.txt.

When stop times define distance values but the shape does not carry matching distances on every point, consumers cannot use those distances to align stops to the shape geometry reliably. This inconsistency may cause incorrect routing or display behaviour.

Note: Only the first stop time carrying a shape_dist_traveled value is referenced in the notice; this is a representative row rather than an exhaustive list.

You can see more about this notice here.

Only the first 50 of 1456 affected records are displayed below.

tripCsvRowNumber (?) The row number of the faulty record in trips.txt. tripId (?) The trip_id of the faulty trip. shapeId (?) The shape_id referenced by the trip. stopTimeCsvRowNumber (?) The row number of the first stop_times.txt record for this trip that contains a shape_dist_traveled value. Provided as a representative location; other stop times for the same trip may also carry distance values.
164 "平日-3121-853" "S_3121" 3431
1095 "日祝-101-195" "S_101" 30972
163 "平日-3121-852" "S_3121" 3415
1094 "日祝-101-194" "S_101" 30950
1097 "日祝-101-197" "S_101" 31016
1096 "日祝-101-196" "S_101" 30994
1217 "日祝-3152-726" "S_3152" 33684
1093 "日祝-101-193" "S_101" 30928
1092 "日祝-101-192" "S_101" 30906
1215 "日祝-3152-724" "S_3152" 33642
748 "土曜-3122-204" "S_3122" 20557
747 "土曜-3122-203" "S_3122" 20541
731 "土曜-3101-190" "S_3101" 20290
494 "平日-44131-375" "S_44131" 14770
1416 "日祝-50302-85" "S_50302" 41251
1014 "土曜-52702-79" "S_52702" 29505
1417 "日祝-50302-88" "S_50302" 41284
1412 "日祝-50222-84" "S_50222" 41167
1091 "日祝-101-187" "S_101" 30884
1363 "日祝-15402-343" "S_15402" 39678
371 "平日-14001-664" "S_14001" 11474
1089 "日祝-101-184" "S_101" 30840
1088 "日祝-101-183" "S_101" 30818
369 "平日-14001-662" "S_14001" 11444
370 "平日-14001-663" "S_14001" 11459
1090 "日祝-101-185" "S_101" 30862
1085 "日祝-101-180" "S_101" 30752
1304 "日祝-9732-379" "S_9732" 37114
1008 "土曜-50511-28" "S_50511" 29403
1429 "日祝-50511-28" "S_50511" 41592
578 "平日-53179-77" "S_53179" 17099
1087 "日祝-101-182" "S_101" 30796
1302 "日祝-9732-377" "S_9732" 37006
1086 "日祝-101-181" "S_101" 30774
1219 "日祝-3152-713" "S_3152" 33726
1303 "日祝-9732-378" "S_9732" 37060
1438 "日祝-52761-46" "S_52761" 41799
1301 "日祝-9732-376" "S_9732" 36952
1310 "日祝-10511-413" "S_10511" 37438
352 "平日-13102-616" "S_13102" 10304
353 "平日-13102-617" "S_13102" 10377
350 "平日-13102-614" "S_13102" 10158
367 "平日-14001-660" "S_14001" 11414
351 "平日-13102-615" "S_13102" 10231
368 "平日-14001-661" "S_14001" 11429
887 "土曜-12552-942" "S_12552" 25414
349 "平日-13102-613" "S_13102" 10085
1067 "日祝-91-317" "S_91" 30314
698 "土曜-902-290" "S_902" 19556
1337 "日祝-13201-902" "S_13201" 38353
unknown_column INFO 4

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"trips.txt" "jp_trip_desc" 11
"trips.txt" "jp_trip_desc_symbol" 12
"trips.txt" "jp_office_id" 13
"routes.txt" "jp_parent_route_id" 10
unknown_file INFO 2

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"office_jp.txt"
"agency_jp.txt"