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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 81180 new columns ({' "26609": 676', ' "57076": 2337', ' "31311": 2747', ' "35377": 8004', ' "45547": 3177', ' "66039": 9547', ' "39838": 1581', ' "24913": 9869', ' "12951": 9126', ' "65250": 849', ' "19717": 3742', ' "17777": 6480', ' "1528": 5996', ' "73749": 7575', ' "65620": 1394', ' "42406": 6785', ' "62820": 3657', ' "20883": 8968', ' "41464": 1715', ' "30377": 6347', ' "27972": 8769', ' "61953": 7784', ' "57167": 106', ' "80635": 9293', ' "60230": 7238', ' "11359": 60', ' "65995": 2798', ' "36191": 10604', ' "11729": 11181', ' "69109": 151', ' "39746": 935', ' "40009": 5296', ' "52609": 7876', ' "73231": 5739', ' "19419": 9060', ' "39030": 935', ' "14145": 3919', ' "62549": 9953', ' "60743": 2309', ' "29482": 10421', ' "74663": 9570', ' "28201": 5539', ' "73622": 6907', ' "51339": 2309', ' "42418": 9600', ' "70648": 8669', ' "46100": 10848', ' "4455": 7157', ' "69721": 8997', ' "81063": 1802', ' "42438": 7242', ' "15456": 5493', ' "51043": 5416', ' "12398": 6765', ' "54147": 10746', ' "74562": 4755', ' "72323": 3767', ' "13103": 4923', ' "17198": 4087', ' "43920": 5104', ' "21062": 8131', ' "53168": 7405', ' "18591": 4303', ' "59803": 4938', ' "8357": 723', ' "13481": 10908', ' "14822": 8682', ' "2993": 1727', ' "2363": 6865', ' "76809": 10657', ' "66917": 1317', ' "49193": 1911', ' "18948": 10033', ' "79065": 5790', ' "34091": 3725', ' "63583": 2526', ' "23585": 7822', ' "54470": 5257', ' "49259": 10088', ' "5718": 3259', ' "64100": 2817', ' "6116": 3755', ' "39534": 4045', ' "1297": 81
...
512": 6114', ' "63914": 3243', ' "57951": 1892', ' "43476": 8773', ' "26727": 7084', ' "12383": 3581', ' "45054": 10657', ' "65933": 3362', ' "19311": 8109', ' "26176": 993', ' "49293": 3471', ' "54458": 9745', ' "67405": 1217', ' "12250": 10020', ' "55009": 4954', ' "20071": 6232', ' "56181": 2090', ' "13708": 9850', ' "70322": 2092', ' "58282": 6727', ' "37510": 7695', ' "606": 106', ' "4400": 10880', ' "38457": 6729', ' "45131": 1613', ' "3176": 2696', ' "24548": 8070', ' "25821": 3865', ' "17239": 10172', ' "26199": 9615', ' "55010": 3419', ' "49497": 6385', ' "33563": 7242', ' "20795": 8389', ' "45410": 142', ' "48521": 781', ' "2065": 7411', ' "28077": 1214', ' "64685": 1831', ' "69396": 6757', ' "18716": 5936', ' "20401": 3823', ' "18374": 9469', ' "77591": 7753', ' "12388": 2091', ' "28472": 1040', ' "60723": 7188', ' "26481": 7023', ' "42921": 1127', ' "43489": 4117', ' "39809": 8749', ' "20913": 1043', ' "11669": 7290', ' "39962": 8451', ' "13214": 9561', ' "68445": 173', ' "46159": 2911', ' "50760": 7423', ' "41321": 1757', ' "33678": 1373', ' "67433": 2663', ' "76293": 10890', ' "56490": 8688', ' "45195": 1672', ' "6176": 6083', ' "66115": 9819', ' "54638": 10419', ' "2693": 8235', ' "20507": 7353', ' "31409": 2195', ' "50794": 5757', ' "53758": 8666', ' "3090": 3362', ' "16979": 2972', ' "29994": 2280', ' "31892": 3762', ' "54484": 8378', ' "29352": 10001', ' "37261": 10791', ' "17382": 2522', ' "47306": 8456', ' "45320": 2400', ' "9970": 2868', ' "28930": 7820'}) and 6 missing columns ({'X', 'TYPE', 'NAME', 'Y', 'P', 'id'}).

This happened while the csv dataset builder was generating data using

zip://bj/poi2region_bj.json::/tmp/hf-datasets-cache/medium/datasets/97166855224737-config-parquet-and-info-XieYuBUAA-BIGCity_Dataset-424ff1c0/hub/datasets--XieYuBUAA--BIGCity_Dataset/snapshots/d6c1e8bd6bbcee1a10c618da94d12e62afe48007/bj.zip

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              {"0": 1086: null
               "1": 1493: null
               "2": 5132: null
               "3": 5474: null
               "4": 5006: null
               "5": 719: null
               "6": 1720: null
               "7": 1038: null
               "8": 4978: null
               "9": 4111: null
               "10": 4806: null
               "11": 4998: null
               "12": 3571: null
               "13": 2942: null
               "14": 801: null
               "15": 1815: null
               "16": 3728: null
               "17": 3210: null
               "18": 4790: null
               "19": 1780: null
               "20": 731: null
               "21": 6033: null
               "22": 3902: null
               "23": 6258: null
               "24": 4336: null
               "25": 1825: null
               "26": 4936: null
               "27": 6464: null
               "28": 4397: null
               "29": 5057: null
               "30": 5030: null
               "31": 9488: null
               "32": 4868: null
               "33": 5360: null
               "34": 4942: null
               "35": 1637: null
               "36": 1082: null
               "37": 1615: null
               "38": 1626: null
               "39": 4620: null
               "40": 6842: null
               "41": 8228: null
               "42": 6993: null
               "43": 4397: null
               "44": 7609: null
               "45": 1588: null
               "46": 9859: null
               "47": 5809: null
               "48": 8522: null
               "49": 4793: null
               "50": 5790: null
               "51": 6375: null
               "52": 7332: null
               "53": 8628: null
               "54": 8551: null
               "55": 4057: null
               "56": 5807: null
               "57": 6380: null
               "58": 3259: null
               "59": 6188: null
               "60": 5366: null
               "61": 4702: null
               "62": 7667: null
               "63": 7667: null
               "64": 4725: null
               "65": 4397: null
               "66": 8450: null
               "67": 951: null
               "68": 4800: null
               "69": 3957: null
               "70": 5048: null
               "71": 4494: null
               "72": 5126: null
               "73": 1615: null
               "74": 4734: null
               "75": 2625: null
               "76": 1176: null
               "77": 4814: null
               "78": 4793: null
               "79": 1007: null
               "80": 5509: null
               "81": 4415: null
               "82": 9420: null
               "83": 7272: null
               "
              ...
              9406: null
               "81114": 1825: null
               "81115": 1823: null
               "81116": 6598: null
               "81117": 11182: null
               "81118": 9857: null
               "81119": 1568: null
               "81120": 5463: null
               "81121": 4620: null
               "81122": 9775: null
               "81123": 2026: null
               "81124": 9996: null
               "81125": 142: null
               "81126": 9113: null
               "81127": 5461: null
               "81128": 2103: null
               "81129": 8833: null
               "81130": 8547: null
               "81131": 6283: null
               "81132": 11133: null
               "81133": 1820: null
               "81134": 3795: null
               "81135": 5327: null
               "81136": 9986: null
               "81137": 2500: null
               "81138": 8559: null
               "81139": 693: null
               "81140": 9211: null
               "81141": 9645: null
               "81142": 10372: null
               "81143": 2704: null
               "81144": 3845: null
               "81145": 918: null
               "81146": 7335: null
               "81147": 7341: null
               "81148": 774: null
               "81149": 6630: null
               "81150": 5497: null
               "81151": 5860: null
               "81152": 10622: null
               "81153": 7478: null
               "81154": 5412: null
               "81155": 4116: null
               "81156": 1314: null
               "81157": 7908: null
               "81158": 6097: null
               "81159": 5025: null
               "81160": 44: null
               "81161": 2542: null
               "81162": 5762: null
               "81163": 2026: null
               "81164": 8003: null
               "81165": 5479: null
               "81166": 10295: null
               "81167": 619: null
               "81168": 8003: null
               "81169": 106: null
               "81170": 713: null
               "81171": 4667: null
               "81172": 4806: null
               "81173": 6864: null
               "81174": 8429: null
               "81175": 5598: null
               "81176": 979: null
               "81177": 5200: null
               "81178": 5762: null
               "81179": 4584}: null
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 10537131
              to
              {'id': Value(dtype='int64', id=None), 'NAME': Value(dtype='string', id=None), 'TYPE': Value(dtype='string', id=None), 'X': Value(dtype='float64', id=None), 'Y': Value(dtype='float64', id=None), 'P': Value(dtype='string', id=None)}
              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 1438, 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 1050, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, 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 81180 new columns ({' "26609": 676', ' "57076": 2337', ' "31311": 2747', ' "35377": 8004', ' "45547": 3177', ' "66039": 9547', ' "39838": 1581', ' "24913": 9869', ' "12951": 9126', ' "65250": 849', ' "19717": 3742', ' "17777": 6480', ' "1528": 5996', ' "73749": 7575', ' "65620": 1394', ' "42406": 6785', ' "62820": 3657', ' "20883": 8968', ' "41464": 1715', ' "30377": 6347', ' "27972": 8769', ' "61953": 7784', ' "57167": 106', ' "80635": 9293', ' "60230": 7238', ' "11359": 60', ' "65995": 2798', ' "36191": 10604', ' "11729": 11181', ' "69109": 151', ' "39746": 935', ' "40009": 5296', ' "52609": 7876', ' "73231": 5739', ' "19419": 9060', ' "39030": 935', ' "14145": 3919', ' "62549": 9953', ' "60743": 2309', ' "29482": 10421', ' "74663": 9570', ' "28201": 5539', ' "73622": 6907', ' "51339": 2309', ' "42418": 9600', ' "70648": 8669', ' "46100": 10848', ' "4455": 7157', ' "69721": 8997', ' "81063": 1802', ' "42438": 7242', ' "15456": 5493', ' "51043": 5416', ' "12398": 6765', ' "54147": 10746', ' "74562": 4755', ' "72323": 3767', ' "13103": 4923', ' "17198": 4087', ' "43920": 5104', ' "21062": 8131', ' "53168": 7405', ' "18591": 4303', ' "59803": 4938', ' "8357": 723', ' "13481": 10908', ' "14822": 8682', ' "2993": 1727', ' "2363": 6865', ' "76809": 10657', ' "66917": 1317', ' "49193": 1911', ' "18948": 10033', ' "79065": 5790', ' "34091": 3725', ' "63583": 2526', ' "23585": 7822', ' "54470": 5257', ' "49259": 10088', ' "5718": 3259', ' "64100": 2817', ' "6116": 3755', ' "39534": 4045', ' "1297": 81
              ...
              512": 6114', ' "63914": 3243', ' "57951": 1892', ' "43476": 8773', ' "26727": 7084', ' "12383": 3581', ' "45054": 10657', ' "65933": 3362', ' "19311": 8109', ' "26176": 993', ' "49293": 3471', ' "54458": 9745', ' "67405": 1217', ' "12250": 10020', ' "55009": 4954', ' "20071": 6232', ' "56181": 2090', ' "13708": 9850', ' "70322": 2092', ' "58282": 6727', ' "37510": 7695', ' "606": 106', ' "4400": 10880', ' "38457": 6729', ' "45131": 1613', ' "3176": 2696', ' "24548": 8070', ' "25821": 3865', ' "17239": 10172', ' "26199": 9615', ' "55010": 3419', ' "49497": 6385', ' "33563": 7242', ' "20795": 8389', ' "45410": 142', ' "48521": 781', ' "2065": 7411', ' "28077": 1214', ' "64685": 1831', ' "69396": 6757', ' "18716": 5936', ' "20401": 3823', ' "18374": 9469', ' "77591": 7753', ' "12388": 2091', ' "28472": 1040', ' "60723": 7188', ' "26481": 7023', ' "42921": 1127', ' "43489": 4117', ' "39809": 8749', ' "20913": 1043', ' "11669": 7290', ' "39962": 8451', ' "13214": 9561', ' "68445": 173', ' "46159": 2911', ' "50760": 7423', ' "41321": 1757', ' "33678": 1373', ' "67433": 2663', ' "76293": 10890', ' "56490": 8688', ' "45195": 1672', ' "6176": 6083', ' "66115": 9819', ' "54638": 10419', ' "2693": 8235', ' "20507": 7353', ' "31409": 2195', ' "50794": 5757', ' "53758": 8666', ' "3090": 3362', ' "16979": 2972', ' "29994": 2280', ' "31892": 3762', ' "54484": 8378', ' "29352": 10001', ' "37261": 10791', ' "17382": 2522', ' "47306": 8456', ' "45320": 2400', ' "9970": 2868', ' "28930": 7820'}) and 6 missing columns ({'X', 'TYPE', 'NAME', 'Y', 'P', 'id'}).
              
              This happened while the csv dataset builder was generating data using
              
              zip://bj/poi2region_bj.json::/tmp/hf-datasets-cache/medium/datasets/97166855224737-config-parquet-and-info-XieYuBUAA-BIGCity_Dataset-424ff1c0/hub/datasets--XieYuBUAA--BIGCity_Dataset/snapshots/d6c1e8bd6bbcee1a10c618da94d12e62afe48007/bj.zip
              
              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.

id
int64
NAME
string
TYPE
string
X
float64
Y
float64
P
string
0
丰台区教委房管所
7080
116.280496
39.867554
P01
1
北京市丰台区郑常庄村村民委员会
7085
116.258126
39.886888
P01
2
宜春市政府驻京联络处
7080
116.434824
39.887793
P01
3
青岛市政府驻京办
7080
116.378618
39.893452
P01
4
朝阳区劲松街道办
7080
116.458891
39.884773
P01
5
丰台区城管监察大队新村街道分队
7080
116.302042
39.838175
P01
6
海淀区人大万寿路街道工作委员会
7080
116.257203
39.904744
P01
7
丰台区交通安全委员会
7080
116.293632
39.863611
P01
8
养路费城东收费中心
7080
116.486255
39.881891
P01
9
北京住房公积金管理中心
7080
116.385831
39.864978
P01
10
北京市宣武区国税局第二税务所
7080
116.37678
39.881653
P01
11
国家体育总局财务管理和审计中心
7080
116.422396
39.88302
P01
12
北京市交通执法总队第五大队
7103
116.487777
39.851773
P01
13
丰台区南苑乡委
7080
116.395416
39.833838
P01
14
丰台区政府丰台街道办
7080
116.280831
39.847939
P01
15
海淀区第二国税所
7080
116.288812
39.910188
P01
16
北京市交管局朝阳支队高速路队
7103
116.455927
39.856166
P01
17
丰台区政府马家堡街道办
7080
116.359061
39.841462
P01
18
北京市国税局直属税务分局
7080
116.373339
39.881561
P01
19
张家港市政府驻京联络处
7080
116.323039
39.908837
P01
20
水利部松辽委驻京联络处
7080
116.327892
39.841697
P01
21
东城区城管监察大队北京站分队
7080
116.427134
39.904494
P01
22
丰台区第七国税所
7080
116.411578
39.860509
P01
23
北京市政协
7086
116.41886
39.908791
P01
24
开滦驻京联络处
7080
116.386277
39.869289
P01
25
海淀区委羊坊店街道工作委员会
7080
116.301702
39.910542
P01
26
民政部社会福利中心
7080
116.352138
39.883533
P01
27
朝阳区八里庄街道办
7080
116.472859
39.91397
P01
28
宣武区政务大厅
7080
116.34723
39.871747
P01
29
宣武区市政设施监察管理所
7080
116.363213
39.885874
P01
30
乌兰浩特市政府驻京联络处
7080
116.364666
39.883103
P01
31
中国人力资源和社会保障部
7086
116.418656
39.956598
P01
32
武汉市政府驻京办
7080
116.448362
39.880499
P01
33
北京市国税局车辆购置税征稽管理处
7080
116.403698
39.891519
P01
34
临沂市政府驻京联络处
7080
116.342115
39.884532
P01
35
海淀区羊坊店卫生监督站
7080
116.325802
39.898828
P01
36
丰台区司法局
7086
116.289927
39.865317
P01
37
北京市检察院北京铁路运输分院
7080
116.324521
39.897781
P01
38
临猗驻京经济联络处
7080
116.261552
39.898813
P01
39
淄博市政府驻京办
7080
116.446464
39.87534
P01
40
朝阳区文委行政执法队
7080
116.456942
39.921204
P01
41
东城区房屋土地经营管理中心安定门分中心
7080
116.393183
39.946976
P01
42
东城区房屋土地经营管理中心
7080
116.404737
39.924249
P01
43
宣武区建委
7080
116.347606
39.871669
P01
44
朝阳区政府东风地区办事处
7080
116.499517
39.936795
P01
45
聊城市政府驻京办
7080
116.323853
39.895284
P01
46
朝阳区安贞街道办服务大厅
7080
116.394336
39.965486
P01
47
西城区金融街司法所
7080
116.359133
39.900236
P01
48
海淀区四季青镇政府
708B
116.268767
39.952825
P01
49
宣武区计划生育生殖健康技术指导中心
7080
116.364101
39.877218
P01
50
西城区卫生局卫生监督所
7080
116.340525
39.89932
P01
51
西城区经济服务大厅
7080
116.354069
39.911419
P01
52
西城区城管监察大队
7080
116.356393
39.929476
P01
53
海淀区纪检委
7086
116.292366
39.958068
P01
54
海淀区审计局
7086
116.268035
39.957112
P01
55
北京市党政机关公务车服务厅
7080
116.348528
39.863689
P01
56
宁波市政府驻京办
7080
116.374193
39.900286
P01
57
西城区档案局
7086
116.359622
39.911621
P01
58
丰台区大红门工商所
7080
116.389348
39.840802
P01
59
中国海监总队
7080
116.347895
39.905913
P01
60
常德市政府驻京联络处
7080
116.365186
39.891821
P01
61
宣武区政府陶然亭街道办
7080
116.373617
39.877557
P01
62
西城区司法局
7086
116.35332
39.936193
P01
63
西城区环保局
7086
116.353315
39.936197
P01
64
新疆喀什地区行政公署驻京联络处
7080
116.364785
39.879033
P01
65
宣武区安监局
7086
116.347602
39.871674
P01
66
海淀区旅游局
7086
116.267087
39.952306
P01
67
龙岩市政府驻京联络处
7080
116.307016
39.856995
P01
68
宣武区中环办公楼窗口服务大厅
7080
116.347056
39.881663
P01
69
广西贺州地区行政公署驻京联络处
7080
116.453617
39.861243
P01
70
宣武区牛街街道政务大厅
7080
116.357733
39.886247
P01
71
河池市政府驻京联络处
7080
116.443585
39.870582
P01
72
黑河市政府驻京联络处
7080
116.351629
39.887283
P01
73
北京市检察院北京铁路运输分院反贪局
7080
116.324517
39.897779
P01
74
北京市工商局西城分局天桥工商所
7080
116.378897
39.879917
P01
75
丰台区南苑街道办
7080
116.387922
39.803171
P01
76
丰台区政府卢沟桥街道办
7080
116.275478
39.869061
P01
77
北京市运输管理局崇文管理处
7080
116.41245
39.872113
P01
78
宣武区第六国税所
7080
116.36046
39.877041
P01
79
丰台区城管监察大队卢沟桥队
7080
116.260066
39.855764
P01
80
大栅栏派出所
7102
116.383732
39.894011
P01
81
国家体育总局体育彩票管理中心
7080
116.454342
39.871849
P01
82
东城区和平里工商所
7080
116.400325
39.95561
P01
83
东城区药监局
7086
116.409821
39.928357
P01
84
海淀区中关村工商所
7080
116.322137
39.989825
P01
85
朝阳区发改委
7086
116.457891
39.922622
P01
86
海淀区北下关工商所
7080
116.334694
39.962697
P01
87
东城区知识产权局
7086
116.412471
39.947
P01
88
北京塑料制品监督检验站
7080
116.387504
39.943671
P01
89
中关村科技园区海淀园管委会
7080
116.267097
39.952307
P01
90
海淀区政府国有资产监督管委会
7086
116.267089
39.952306
P01
91
朝阳区城管监察大队
7080
116.470851
39.883961
P01
92
怀来县政府驻京联络处
7080
116.340854
39.875547
P01
93
海淀区复兴路法庭
7080
116.281512
39.924581
P01
94
北京海关马甸保税中心
7080
116.380093
39.967525
P01
95
海淀区四季青镇委
7080
116.268773
39.952823
P01
96
海淀区四季青镇人大
7080
116.268778
39.952826
P01
97
东城区团委
7080
116.417228
39.943544
P01
98
宣武区劳动局
7086
116.347608
39.871667
P01
99
娄底市政府驻京联络处
7080
116.302959
39.85511
P01
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