stfamod/genclimb-large-quantized
Text2Text Generation
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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 1279 new columns ({'468', '5', '923', '1222', '681', '1277', '1181', '843', '651', '121', '665', '72', '499', '260', '1119', '264', '188', '88', '1013', '800', '1200', '750', '704', '161', '315', '352', '1270', '80', '279', '703', '687', '433', '1187', '539', '1238', '84', '491', '17', '6', '819', '1153', '1177', '304', '73', '597', '694', '136', '222', '1096', '141', '1031', '680', '658', '420', '1193', '406', '474', '527', '845', '849', '364', '891', '1094', '1211', '442', '834', '964', '563', '875', '164', '866', '532', '874', '1093', '907', '1046', '30', '822', '1036', '765', '1228', '885', '386', '1089', '661', '1107', '564', '724', '456', '296', '139', '1221', '1115', '648', '159', '826', '547', '587', '1135', '850', '120', '869', '201', '600', '93', '443', '194', '344', '237', '1192', '335', '1114', '1034', '940', '424', '693', '1023', '64', '355', '266', '60', '294', '1138', '543', '1122', '1077', '63', '649', '10', '1035', '684', '245', '947', '175', '1225', '755', '1017', '204', '399', '524', '186', '602', '95', '503', '243', '1026', '577', '343', '974', '69', '889', '373', '607', '584', '448', '659', '187', '1088', '39', '690', '287', '1052', '56', '351', '285', '123', '837', '1249', '1241', '229', '369', '778', '1074', '1161', '31', '1011', '972', '951', '299', '185', '429', '171', '519', '813', '914', '762', '117', '256', '725', '300', '540', '594', '712', '439', '1083', '983', '1137', '1076', '806', '250', '938', '7', '240', '833', '395', '989', '184', '247', '467', '1155', '835'
...
41', '691', '267', '1234', '824', '440', '999', '655', '511', '1075', '787', '710', '623', '795', '1175', '788', '1158', '1239', '492', '61', '613', '899', '955', '689', '506', '615', '233', '1261', '535', '470', '1251', '936', '162', '763', '678', '337', '1078', '445', '618', '742', '674', '1030', '38', '432', '346', '1167', '1129', '231', '777', '604', '1262', '757', '24', '612', '411', '967', '913', '167', '323', '641', '1064', '311', '906', '1255', '295', '447', '71', '191', '943', '1104', '435', '878', '102', '857', '1152', '1018', '596', '1058', '1250', '856', '478', '888', '11', '551', '419', '739', '538', '1000', '288', '686', '493', '1162', '1173', '494', '41', '973', '1079', '1072', '656', '404', '1180', '1086', '846', '1009', '1142', '627', '408', '523', '727', '1220', '381', '768', '268', '105', '130', '425', '1105', '471', '1049', '945', '1244', '128', '87', '148', '81', '89', '798', '181', '392', '598', '591', '625', '110', '62', '92', '1209', '895', '450', '654', '1003', '1136', '965', '1051', '1213', '1247', '855', '33', '549', '1087', '1113', '1037', '234', '452', '830', '293', '662', '4', '1102', '957', '218', '449', '569', '320', '1006', '476', '149', '847', '156', '48', '98', '26', '417', '150', '560', '574', '996', '695', '599', '259', '1260', '797', '333', '585', '430', '133', '872', '170', '669', '1229', '1199', '86', '1073', '151', '332', '948', '401', '756', '975', '1121', '1176', '909', '135', '722', '1264', '640', '632', '1149', '270', '370', '583'}) and 2 missing columns ({'target', 'source'}).
This happened while the json dataset builder was generating data using
zip://id_to_token.json::/tmp/hf-datasets-cache/medium/datasets/42495691061903-config-parquet-and-info-stfamod-Kilter-Board-Data-1ac26e38/hub/datasets--stfamod--Kilter-Board-Dataset/snapshots/37834c8ea28637925166896f7aae2480a0adeb9b/id_to_token.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 1869, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 580, 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: string
1: string
2: string
3: string
4: string
5: string
6: string
7: string
8: string
9: string
10: string
11: string
12: string
13: string
14: string
15: string
16: string
17: string
18: string
19: string
20: string
21: string
22: string
23: string
24: string
25: string
26: string
27: string
28: string
29: string
30: string
31: string
32: string
33: string
34: string
35: string
36: string
37: string
38: string
39: string
40: string
41: string
42: string
43: string
44: string
45: string
46: string
47: string
48: string
49: string
50: string
51: string
52: string
53: string
54: string
55: string
56: string
57: string
58: string
59: string
60: string
61: string
62: string
63: string
64: string
65: string
66: string
67: string
68: string
69: string
70: string
71: string
72: string
73: string
74: string
75: string
76: string
77: string
78: string
79: string
80: string
81: string
82: string
83: string
84: string
85: string
86: string
87: string
88: string
89: string
90: string
91: string
92: string
93: string
94: string
95: string
96: string
97: string
98: string
99: string
100: string
101: string
102: string
103: string
104: string
105: string
106: string
107: string
108: string
109: string
110: string
111: string
112: string
113: string
114: string
115: string
116: string
117: string
118: string
119: string
120: string
121: string
122: string
123: string
124: string
125: string
126: string
127: string
128: string
129: string
130: string
131: string
132: string
133: string
13
...
tring
1164: string
1165: string
1166: string
1167: string
1168: string
1169: string
1170: string
1171: string
1172: string
1173: string
1174: string
1175: string
1176: string
1177: string
1178: string
1179: string
1180: string
1181: string
1182: string
1183: string
1184: string
1185: string
1186: string
1187: string
1188: string
1189: string
1190: string
1191: string
1192: string
1193: string
1194: string
1195: string
1196: string
1197: string
1198: string
1199: string
1200: string
1201: string
1202: string
1203: string
1204: string
1205: string
1206: string
1207: string
1208: string
1209: string
1210: string
1211: string
1212: string
1213: string
1214: string
1215: string
1216: string
1217: string
1218: string
1219: string
1220: string
1221: string
1222: string
1223: string
1224: string
1225: string
1226: string
1227: string
1228: string
1229: string
1230: string
1231: string
1232: string
1233: string
1234: string
1235: string
1236: string
1237: string
1238: string
1239: string
1240: string
1241: string
1242: string
1243: string
1244: string
1245: string
1246: string
1247: string
1248: string
1249: string
1250: string
1251: string
1252: string
1253: string
1254: string
1255: string
1256: string
1257: string
1258: string
1259: string
1260: string
1261: string
1262: string
1263: string
1264: string
1265: string
1266: string
1267: string
1268: string
1269: string
1270: string
1271: string
1272: string
1273: string
1274: string
1275: string
1276: string
1277: string
1278: string
to
{'source': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'target': Sequence(feature=Value(dtype='int64', id=None), length=-1, 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 1392, 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 1041, 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 999, 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 1740, 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 1871, 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 1279 new columns ({'468', '5', '923', '1222', '681', '1277', '1181', '843', '651', '121', '665', '72', '499', '260', '1119', '264', '188', '88', '1013', '800', '1200', '750', '704', '161', '315', '352', '1270', '80', '279', '703', '687', '433', '1187', '539', '1238', '84', '491', '17', '6', '819', '1153', '1177', '304', '73', '597', '694', '136', '222', '1096', '141', '1031', '680', '658', '420', '1193', '406', '474', '527', '845', '849', '364', '891', '1094', '1211', '442', '834', '964', '563', '875', '164', '866', '532', '874', '1093', '907', '1046', '30', '822', '1036', '765', '1228', '885', '386', '1089', '661', '1107', '564', '724', '456', '296', '139', '1221', '1115', '648', '159', '826', '547', '587', '1135', '850', '120', '869', '201', '600', '93', '443', '194', '344', '237', '1192', '335', '1114', '1034', '940', '424', '693', '1023', '64', '355', '266', '60', '294', '1138', '543', '1122', '1077', '63', '649', '10', '1035', '684', '245', '947', '175', '1225', '755', '1017', '204', '399', '524', '186', '602', '95', '503', '243', '1026', '577', '343', '974', '69', '889', '373', '607', '584', '448', '659', '187', '1088', '39', '690', '287', '1052', '56', '351', '285', '123', '837', '1249', '1241', '229', '369', '778', '1074', '1161', '31', '1011', '972', '951', '299', '185', '429', '171', '519', '813', '914', '762', '117', '256', '725', '300', '540', '594', '712', '439', '1083', '983', '1137', '1076', '806', '250', '938', '7', '240', '833', '395', '989', '184', '247', '467', '1155', '835'
...
41', '691', '267', '1234', '824', '440', '999', '655', '511', '1075', '787', '710', '623', '795', '1175', '788', '1158', '1239', '492', '61', '613', '899', '955', '689', '506', '615', '233', '1261', '535', '470', '1251', '936', '162', '763', '678', '337', '1078', '445', '618', '742', '674', '1030', '38', '432', '346', '1167', '1129', '231', '777', '604', '1262', '757', '24', '612', '411', '967', '913', '167', '323', '641', '1064', '311', '906', '1255', '295', '447', '71', '191', '943', '1104', '435', '878', '102', '857', '1152', '1018', '596', '1058', '1250', '856', '478', '888', '11', '551', '419', '739', '538', '1000', '288', '686', '493', '1162', '1173', '494', '41', '973', '1079', '1072', '656', '404', '1180', '1086', '846', '1009', '1142', '627', '408', '523', '727', '1220', '381', '768', '268', '105', '130', '425', '1105', '471', '1049', '945', '1244', '128', '87', '148', '81', '89', '798', '181', '392', '598', '591', '625', '110', '62', '92', '1209', '895', '450', '654', '1003', '1136', '965', '1051', '1213', '1247', '855', '33', '549', '1087', '1113', '1037', '234', '452', '830', '293', '662', '4', '1102', '957', '218', '449', '569', '320', '1006', '476', '149', '847', '156', '48', '98', '26', '417', '150', '560', '574', '996', '695', '599', '259', '1260', '797', '333', '585', '430', '133', '872', '170', '669', '1229', '1199', '86', '1073', '151', '332', '948', '401', '756', '975', '1121', '1176', '909', '135', '722', '1264', '640', '632', '1149', '270', '370', '583'}) and 2 missing columns ({'target', 'source'}).
This happened while the json dataset builder was generating data using
zip://id_to_token.json::/tmp/hf-datasets-cache/medium/datasets/42495691061903-config-parquet-and-info-stfamod-Kilter-Board-Data-1ac26e38/hub/datasets--stfamod--Kilter-Board-Dataset/snapshots/37834c8ea28637925166896f7aae2480a0adeb9b/id_to_token.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.
source
sequence | target
sequence |
|---|---|
[
1270,
1239
] | [
42,
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1195,
169,
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115,
1195,
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84,
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1195,
68,
1195,
184,
1196,
29,
1197,
36,
1197,
168,
1197,
206,
1197,
114,
1197,
89,
1197,
63,
1197
] |
[
1271,
1239
] | [
42,
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156,
1194,
94,
1195,
169,
1195,
115,
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206,
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114,
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] |
[
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] | [
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1195,
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1195,
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1196,
29,
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36,
1197,
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1197,
206,
1197,
114,
1197,
89,
1197,
63,
1197
] |
[
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] | [
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409,
1195,
297,
1195,
127,
1196,
241,
1195,
450,
1197,
228,
1197,
285,
1197,
174,
1197,
143,
1197
] |
[
1271,
1240
] | [
432,
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517,
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1195,
409,
1195,
297,
1195,
127,
1196,
241,
1195,
450,
1197,
228,
1197,
285,
1197,
174,
1197,
143,
1197
] |
[
1272,
1240
] | [
432,
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517,
1194,
349,
1195,
409,
1195,
297,
1195,
127,
1196,
241,
1195,
450,
1197,
228,
1197,
285,
1197,
174,
1197,
143,
1197
] |
[
1273,
1240
] | [
432,
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517,
1194,
349,
1195,
409,
1195,
297,
1195,
127,
1196,
241,
1195,
450,
1197,
228,
1197,
285,
1197,
174,
1197,
143,
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] |
[
1270,
1239
] | [
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319,
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1195,
426,
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1195,
352,
1195,
305,
1195,
359,
1196,
27,
1197,
279,
1197,
437,
1197,
257,
1197
] |
[
1270,
1241
] | [
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321,
1194,
430,
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349,
1195,
410,
1195,
355,
1196,
19,
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443,
1197,
336,
1197,
317,
1197,
462,
1197
] |
[
1271,
1241
] | [
395,
1194,
321,
1194,
430,
1195,
349,
1195,
410,
1195,
355,
1196,
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443,
1197,
336,
1197,
317,
1197,
462,
1197
] |
[
1273,
1241
] | [
395,
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1194,
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1195,
349,
1195,
410,
1195,
355,
1196,
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443,
1197,
336,
1197,
317,
1197,
462,
1197
] |
[
1270,
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] | [
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373,
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412,
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23,
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215,
1197,
212,
1197
] |
[
1271,
1244
] | [
278,
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262,
1195,
344,
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373,
1195,
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1195,
481,
1195,
412,
1196,
23,
1197,
215,
1197,
212,
1197
] |
[
1273,
1244
] | [
278,
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324,
1197,
493,
1197,
262,
1195,
344,
1195,
373,
1195,
461,
1195,
481,
1195,
412,
1196,
23,
1197,
215,
1197,
212,
1197
] |
[
1270,
1243
] | [
104,
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261,
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372,
1195,
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1195,
353,
1195,
191,
1196,
101,
1197,
215,
1197,
209,
1197,
456,
1197
] |
[
1271,
1243
] | [
104,
1197,
223,
1194,
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1194,
261,
1195,
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1195,
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1195,
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1195,
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1195,
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1196,
101,
1197,
215,
1197,
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1197,
456,
1197
] |
[
1272,
1243
] | [
104,
1197,
223,
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1194,
261,
1195,
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1195,
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1195,
461,
1195,
353,
1195,
191,
1196,
101,
1197,
215,
1197,
209,
1197,
456,
1197
] |
[
1273,
1243
] | [
104,
1197,
223,
1194,
151,
1194,
261,
1195,
346,
1195,
372,
1195,
461,
1195,
353,
1195,
191,
1196,
101,
1197,
215,
1197,
209,
1197,
456,
1197
] |
[
1270,
1243
] | [
26,
1197,
102,
1197,
107,
1194,
221,
1195,
439,
1197,
337,
1195,
208,
1195,
343,
1195,
116,
1196,
235,
1195,
292,
1195,
21,
1197,
225,
1197
] |
[
1271,
1243
] | [
26,
1197,
102,
1197,
107,
1194,
221,
1195,
439,
1197,
337,
1195,
208,
1195,
343,
1195,
116,
1196,
235,
1195,
292,
1195,
21,
1197,
225,
1197
] |
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End of preview.
Kilter Board Climbing Dataset
This dataset contains climbing sequences for the Kilter Board, a popular adjustable climbing wall. It includes climbs that meet specific criteria, along with vocabulary mappings.
Dataset Characteristics
- Minimum Ascensionists: 5
- Board Layouts: Kilter Board Original and Kilter Board Homewall
- Quality Rating: Greater than 2.6
- Frames Count: 1
Data Format
Each sample in the dataset is structured as follows: [Source: [Board, Difficulty], Target: [Frames]]
Example Sample
{
"source": [1270, 1239],
"target": [42, 1194, 156, 1194, 94, 1195, 169, 1195, 115, 1195, 201, 1195, 84, 1195, 181, 1195, 68, 1195, 184, 1196, 29, 1197, 36, 1197, 168, 1197, 206, 1197, 114, 1197, 89, 1197, 63, 1197]
}
Vocabulary and Token-ID Mappings
The dataset includes tokenizer and vocabulary mappings:
- token_to_id: Maps tokens to their corresponding integer IDs.
- id_to_token: Maps integer IDs back to their corresponding tokens.
These mappings allow for efficient encoding and decoding of the climbing sequences.
Usage
This dataset is designed for training machine learning models, particularly those focused on generating or analyzing climbing routes. The source-target structure makes it suitable for sequence-to-sequence models or other architectures that can learn from paired data. License This dataset is provided under the MIT License. Please refer to the license file for more details on usage and distribution.
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