setram2 — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-08T03:35:40Z,
for the dataset file:///shared/setram2_3b19f94f.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
N/A
Publisher URL:
N/A
Feed Email:
N/A
Feed Language:
N/A

Files included


  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. frequencies.txt
  5. routes.txt
  6. shapes.txt
  7. stop_times.txt
  8. stops.txt
  9. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 67
  • Shapes: 222
  • Stops: 1649
  • Trips: 12598

Specification Compliance report

10745 notices reported (12 errors, 10731 warnings, 2 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates ERROR 12

equal_shape_distance_diff_coordinates

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than the 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and different coordinates indicate an error.

You can see more about this notice here.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"T20069" 118942 2.64 80001 118941 2.64 50002 468.03270112908325
"T20069" 118954 4.991 160001 118953 4.991 130002 615.2532602714227
"210103" 55862 1.721 70001 55861 1.721 60007 83.40324942921814
"T10076" 118838 2.153 120001 118837 2.153 90002 390.9875784303298
"T10076" 118850 4.529 200001 118849 4.529 170002 358.7589990525922
"1520013" 110865 3.64 60001 110864 3.64 30008 333.9550822361362
"T10081" 118880 2.376 90001 118879 2.376 60002 358.7589990525922
"200142" 49260 1.048 30001 49259 1.048 20009 3.1100115410020184
"200141" 48343 1.048 30001 48342 1.048 20009 3.1100115410020184
"200140" 47502 1.048 30001 47501 1.048 20009 3.1100115410020184
"1220012" 103982 4.694 80001 103981 4.694 70020 122.89635657285261
"200065" 43429 1.367 40001 43428 1.367 30009 3.1100115410020184
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 1810

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

Only the first 50 of 1810 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"1020035" 88125 4.751 50080 88124 4.751 50079 0.8625155344831155
"1020035" 88220 7.495 50175 88219 7.495 50174 0.7427087280258664
"1020035" 88225 7.499 50180 88224 7.499 50179 0.7637503957335565
"1020035" 88230 7.503 50185 88229 7.503 50184 0.7034685343438881
"1020035" 88234 7.506 50189 88233 7.506 50188 0.6835410433223988
"1020035" 88239 7.51 50194 88238 7.51 50193 0.7304544399875844
"1020035" 88243 7.513 50198 88242 7.513 50197 0.629948955108831
"1020035" 88246 7.515 50201 88245 7.515 50200 0.7427101333522702
"1020035" 88249 7.517 50204 88248 7.517 50203 0.6350167290269353
"1020035" 88252 7.519 50207 88251 7.519 50206 0.6350167828486623
"1020035" 88254 7.52 50209 88253 7.52 50208 0.5948015972566012
"1020035" 88257 7.522 50212 88256 7.522 50211 0.5948015857119441
"1020035" 88260 7.524 50215 88259 7.524 50214 0.6350167614675615
"1020035" 88262 7.525 50217 88261 7.525 50216 0.5659743589690133
"1020035" 88265 7.527 50220 88264 7.527 50219 0.6299490169237425
"1020035" 88268 7.529 50223 88267 7.529 50222 0.5570325134435972
"1020036" 88811 7.116 70044 88810 7.116 70043 0.4993485123241577
"320080" 79672 4.323 50024 79671 4.323 50023 0.5326625338275559
"320080" 79975 11.571 100111 79974 11.571 100110 0.5798604843444979
"270050" 72781 0.419 20002 72780 0.419 20001 0.5609427204496502
"1410011" 109468 4.784 50001 109467 4.784 40002 0.49871388899687985
"1410011" 109492 5.249 70001 109491 5.249 60011 0.44702481076448375
"1410011" 109494 5.606 80001 109493 5.606 70002 0.37195685112914084
"1410012" 109607 0.93 40001 109606 0.93 30014 0.3652638706422544
"1410012" 109617 5.99 90001 109616 5.99 80002 0.44478040505395056
"1020041" 90458 7.293 70010 90457 7.293 70009 0.8625155344831155
"1130015" 99183 5.639 40002 99182 5.639 40001 0.5609427204496502
"110013" 15517 2.288 100021 15516 2.288 100020 0.5661674164834325
"110013" 15547 2.712 110012 15546 2.712 110011 0.8626573320607684
"110013" 15551 2.715 110016 15550 2.715 110015 0.6671706068736016
"110013" 15555 2.718 110020 15554 2.718 110019 0.712949114450067
"110013" 15582 3.011 120011 15581 3.011 120010 0.8940131679512943
"110013" 15669 4.09 150019 15668 4.09 150018 0.3714844562814083
"110013" 15980 7.812 250015 15979 7.812 250014 0.31755672262273227
"320092" 81562 0.924 10085 81561 0.924 10084 0.31511852377869765
"320092" 81803 7.096 60042 81802 7.096 60041 0.532662533827556
"320092" 81804 7.096 60043 81803 7.096 60042 0.31776302716474714
"320090" 80571 1.431 40024 80570 1.431 40023 0.5326625338275559
"320090" 80814 7.325 90051 80813 7.325 90050 0.4335039286481513
"320090" 80899 8.558 90136 80898 8.558 90135 0.4334560759007902
"320090" 80924 8.691 90161 80923 8.691 90160 1.0476834939397703
"320091" 81103 4.323 50024 81102 4.323 50023 0.5326625338275559
"320091" 81431 11.45 100136 81430 11.45 100135 0.4334560759007902
"1130017" 99826 6.112 60001 99825 6.112 50034 0.5801304583183872
"60006" 8372 1.597 60014 8371 1.597 60013 0.5573056591935112
"230025" 58469 8.125 200021 58468 8.125 200020 0.365267498192022
"60125" 9550 1.597 60014 9549 1.597 60013 0.5573056591935112
"60124" 8896 1.03 30058 8895 1.03 30057 1.0420966308944635
"60124" 9258 8.085 120034 9257 8.085 120033 0.6823527487946669
"140006" 28821 5.133 140011 28820 5.133 140010 0.5797879569173436
equal_shape_distance_same_coordinates WARNING 3492

equal_shape_distance_same_coordinates

Two consecutive points have equal shape_dist_traveled and the same lat/lon coordinates in shapes.txt.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and the same coordinates indicate a duplicative shape point.

You can see more about this notice here.

Only the first 50 of 3492 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"1020035" 87946 0.637 20001 87945 0.637 10034
"1020035" 87974 1.482 30001 87973 1.482 20028
"1020035" 88034 3.034 40001 88033 3.034 30060
"1020035" 88046 3.545 50001 88045 3.545 40012
"1020036" 88590 4.395 20001 88589 4.395 10151
"1020036" 88629 4.72 30001 88628 4.72 20039
"1020036" 88642 4.994 40001 88641 4.994 30013
"1020036" 88673 5.383 50001 88672 5.383 40031
"1020036" 88689 5.771 60001 88688 5.771 50016
"1020036" 88768 6.796 70001 88767 6.796 60079
"1020036" 88812 7.116 80001 88811 7.116 70044
"1020036" 88839 7.535 90001 88838 7.535 80027
"1020036" 88863 8.157 100001 88862 8.157 90024
"1020036" 88873 8.582 110001 88872 8.582 100010
"1020036" 88927 10.039 120001 88926 10.039 110054
"1020036" 88959 10.989 130001 88958 10.989 120032
"1020036" 88991 11.582 140001 88990 11.582 130032
"1020036" 89061 14.057 150001 89060 14.057 140070
"1020036" 89069 14.536 160001 89068 14.536 150008
"1020036" 89105 15.806 170001 89104 15.806 160036
"1020039" 89293 4.395 20001 89292 4.395 10151
"1020039" 89332 4.72 30001 89331 4.72 20039
"1020039" 89345 4.994 40001 89344 4.994 30013
"1020039" 89376 5.383 50001 89375 5.383 40031
"1020039" 89392 5.771 60001 89391 5.771 50016
"320080" 79593 2.892 20001 79592 2.892 10078
"320080" 79617 3.371 30001 79616 3.371 20024
"320080" 79633 3.629 40001 79632 3.629 30016
"320080" 79649 3.858 50001 79648 3.858 40016
"320080" 79713 5.921 60001 79712 5.921 50064
"320080" 79737 6.643 70001 79736 6.643 60024
"320080" 79770 7.292 80001 79769 7.292 70033
"320080" 79840 8.39 90001 79839 8.39 80070
"320080" 79865 8.922 100001 79864 8.922 90025
"270051" 73163 0.94 20001 73162 0.94 10090
"270051" 73202 1.546 30001 73201 1.546 20039
"270051" 73258 2.557 40001 73257 2.557 30056
"270051" 73354 4.589 50001 73353 4.589 40096
"270051" 73368 4.767 60001 73367 4.767 50014
"270051" 73399 5.072 70001 73398 5.072 60031
"270051" 73430 5.67 80001 73429 5.67 70031
"270051" 73464 6.019 90001 73463 6.019 80034
"270051" 73548 6.758 100001 73547 6.758 90084
"T20068" 118900 0.317 20001 118899 0.317 10002
"T20068" 118902 0.706 30001 118901 0.706 20002
"T20068" 118904 1.259 40001 118903 1.259 30002
"T20068" 118906 1.745 50001 118905 1.745 40002
"T20068" 118908 2.358 60001 118907 2.358 50002
"T20068" 118910 2.814 70001 118909 2.814 60002
"T20068" 118912 3.236 80001 118911 3.236 70002
expired_calendar WARNING 12

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.
6 "B-PS26TV11-SE-PS-Vendredi-15"
7 "B-PS26TV11-SE-PS-Vendredi-15-0000100"
8 "B-ETE-2026-HB-SA-ET-Samedi-28"
9 "B-ETE-2026-HB-DI-ET-Dimanche-27"
10 "B-ETE-2026-HB-SE-ER-Semaine-26"
14 "ST-26TX11-HB-SE-PS-Semaine-00"
15 "ST-26TX11-HB-SE-PS-Semaine-00-1111100"
16 "ST-26TX11-HB-SE-PS-Semaine-00-1101100"
19 "ST-ETE-26-HB-DI-ET-Dimanche-18"
23 "T-PS-2526A-SEMPS26-Semaine-65"
24 "T-PS-2526A-TSAM26-Samedi-65"
25 "T-PS-2526A-DIG2526-Dimanche-50"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
mixed_case_recommended_field WARNING 5389

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 5389 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.
"routes.txt" "route_short_name" "25EX" 61
"stops.txt" "stop_name" "2ème RIMA" 1647
"trips.txt" "trip_headsign" "ST-GEORGES" 2
"trips.txt" "trip_headsign" "ST-GEORGES" 21
"trips.txt" "trip_headsign" "ST-GEORGES" 22
"trips.txt" "trip_headsign" "ST-GEORGES" 23
"trips.txt" "trip_headsign" "ST-GEORGES" 24
"trips.txt" "trip_headsign" "ST-GEORGES" 25
"trips.txt" "trip_headsign" "ST-GEORGES" 26
"trips.txt" "trip_headsign" "ST-GEORGES" 27
"trips.txt" "trip_headsign" "ST-GEORGES" 28
"trips.txt" "trip_headsign" "ST-GEORGES" 29
"trips.txt" "trip_headsign" "ST-GEORGES" 30
"trips.txt" "trip_headsign" "ST-GEORGES" 31
"trips.txt" "trip_headsign" "ST-GEORGES" 32
"trips.txt" "trip_headsign" "ST-GEORGES" 33
"trips.txt" "trip_headsign" "ST-GEORGES" 34
"trips.txt" "trip_headsign" "ST-GEORGES" 35
"trips.txt" "trip_headsign" "ST-GEORGES" 36
"trips.txt" "trip_headsign" "ST-GEORGES" 37
"trips.txt" "trip_headsign" "ST-GEORGES" 38
"trips.txt" "trip_headsign" "ST-GEORGES" 39
"trips.txt" "trip_headsign" "ST-GEORGES" 40
"trips.txt" "trip_headsign" "ST-GEORGES" 42
"trips.txt" "trip_headsign" "ST-GEORGES" 43
"trips.txt" "trip_headsign" "ST-GEORGES" 44
"trips.txt" "trip_headsign" "ST-GEORGES" 45
"trips.txt" "trip_headsign" "ST-GEORGES" 46
"trips.txt" "trip_headsign" "ST-GEORGES" 47
"trips.txt" "trip_headsign" "ST-GEORGES" 56
"trips.txt" "trip_headsign" "ST-GEORGES" 58
"trips.txt" "trip_headsign" "ST-GEORGES" 60
"trips.txt" "trip_headsign" "ST-GEORGES" 62
"trips.txt" "trip_headsign" "ST-GEORGES" 64
"trips.txt" "trip_headsign" "ST-GEORGES" 66
"trips.txt" "trip_headsign" "ST-GEORGES" 68
"trips.txt" "trip_headsign" "ST-GEORGES" 70
"trips.txt" "trip_headsign" "ST-GEORGES" 72
"trips.txt" "trip_headsign" "ST-GEORGES" 74
"trips.txt" "trip_headsign" "ST-GEORGES" 78
"trips.txt" "trip_headsign" "ST-GEORGES" 79
"trips.txt" "trip_headsign" "ST-GEORGES" 80
"trips.txt" "trip_headsign" "ST-GEORGES" 82
"trips.txt" "trip_headsign" "ST-GEORGES" 84
"trips.txt" "trip_headsign" "ST-GEORGES" 87
"trips.txt" "trip_headsign" "ST-GEORGES" 89
"trips.txt" "trip_headsign" "ST-GEORGES" 91
"trips.txt" "trip_headsign" "ST-GEORGES" 93
"trips.txt" "trip_headsign" "ST-GEORGES" 95
"trips.txt" "trip_headsign" "AUCHAN - CHENE VERT" 96
route_long_name_contains_short_name WARNING 3

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name Dataset
"N"/"Judah" Muni San Fransisco
"6"/"ML King Jr Blvd" Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent" STM Montreal
"1"/"Rangiora/Cashmere" Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`. routeLongName (?) The faulty record's `route_long_name`.
"TADM" 66 "Résa+" "Résa+ Monne"
"TADT" 67 "Résa+" "Résa+ Technoparc"
"TADF" 68 "Résa+" "Résa+ La Forêt"
stop_too_far_from_shape WARNING 24

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
8271 "230025" "5069522-ST-ETE-26-HB-DI-ET-Dimanche-26" 182731 "3257" "Mazagran" [47.9998007636289,0.21251615212982147] 197.68714057087635
8271 "230025" "5069522-ST-ETE-26-HB-DI-ET-Dimanche-26" 182732 "3289" "C.Larrouil" [48.00206948133943,0.20720696457905413] 256.27366771538993
8271 "230025" "5069522-ST-ETE-26-HB-DI-ET-Dimanche-26" 182733 "2405" "Ifs" [48.002937,0.204691] 245.11347285003492
8980 "T10075" "4750455-T-CS-2526A-SEMCS25-Semaine-25" 192952 "1002" "Antarès-Stade Marie Marvingt" [47.964222,0.221185] 924.7376700472959
8983 "T10076" "4750459-T-CS-2526A-SEMCS25-Semaine-25" 193001 "1001" "Antarès-Stade Marie Marvingt" [47.964293,0.22115500000000002] 939.9803266407697
8461 "240005" "5099182-ST-ETE-26-HB-DI-ET-Dimanche-18" 185915 "2313" "Family Village" [47.94148092431626,0.23624696526845124] 395.1736258996187
8461 "240005" "5099182-ST-ETE-26-HB-DI-ET-Dimanche-18" 185916 "2816" "Tilleuls" [47.93577096406103,0.23772956750732974] 2010.331464960511
8461 "240005" "5099182-ST-ETE-26-HB-DI-ET-Dimanche-18" 185917 "2527" "Les Pins" [47.93393858542696,0.23860400773226498] 2152.366802712841
8461 "240005" "5099182-ST-ETE-26-HB-DI-ET-Dimanche-18" 185918 "2495" "Le Pressoir" [47.94132900000001,0.236345] 2411.261257664416
8461 "240005" "5099182-ST-ETE-26-HB-DI-ET-Dimanche-18" 185919 "2565" "Marcel Létang" [47.94132900000001,0.236345] 2180.512962209305
8461 "240005" "5099182-ST-ETE-26-HB-DI-ET-Dimanche-18" 185920 "3105" "Petit Plessis" [47.941432,0.23629699999999998] 1990.3970281418403
8461 "240005" "5099182-ST-ETE-26-HB-DI-ET-Dimanche-18" 185921 "2585" "Millet" [47.955881,0.22181] 1953.960540739388
8461 "240005" "5099182-ST-ETE-26-HB-DI-ET-Dimanche-18" 185922 "2364" "Glonnières-Centre Sud" [47.955881,0.22181] 1901.8272243955018
8462 "240006" "5099183-ST-ETE-26-HB-DI-ET-Dimanche-18" 185923 "2585" "Millet" [47.956286,0.220722] 1914.6805394165008
8462 "240006" "5099183-ST-ETE-26-HB-DI-ET-Dimanche-18" 185924 "2364" "Glonnières-Centre Sud" [47.956281,0.22065000000000007] 1842.3953927037544
8462 "240006" "5099183-ST-ETE-26-HB-DI-ET-Dimanche-18" 185925 "3102" "Petit Plessis" [47.940779000000006,0.23609400000000003] 2036.765838530531
8462 "240006" "5099183-ST-ETE-26-HB-DI-ET-Dimanche-18" 185926 "3103" "Mairie Ruaudin" [47.940343000000006,0.236292] 2142.761632488548
8462 "240006" "5099183-ST-ETE-26-HB-DI-ET-Dimanche-18" 185927 "2496" "Le Pressoir" [47.940205,0.23633] 2422.5634398329403
8462 "240006" "5099183-ST-ETE-26-HB-DI-ET-Dimanche-18" 185928 "2526" "Les Pins" [47.93426744175241,0.23844707706033108] 2103.789257363456
8462 "240006" "5099183-ST-ETE-26-HB-DI-ET-Dimanche-18" 185929 "3122" "Bouchardière" [47.94013566131511,0.236339023540917] 1919.4372929399838
8462 "240006" "5099183-ST-ETE-26-HB-DI-ET-Dimanche-18" 185930 "2313" "Family Village" [47.941557,0.23541600000000001] 436.79058120644396
8259 "25EX0056" "5069510-ST-ETE-26-HB-DI-ET-Dimanche-26" 182526 "3257" "Mazagran" [47.9998007636289,0.21251615212982147] 197.68714057087635
8259 "25EX0056" "5069510-ST-ETE-26-HB-DI-ET-Dimanche-26" 182527 "3289" "C.Larrouil" [48.00206948133943,0.20720696457905413] 256.27366771538993
8259 "25EX0056" "5069510-ST-ETE-26-HB-DI-ET-Dimanche-26" 182528 "2405" "Ifs" [48.002937,0.204691] 245.11347285003492
big_gap_in_service INFO 1

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.
"T-CS-2526A-SEMCS25-Semaine-25" "2026-07-10" "2026-08-24" 44
unknown_column INFO 1

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.
"stop_times.txt" "stop_time_desc" 8