Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 12 new columns ({'kitchen_staff', 'humidity_percent', 'waste_category', 'ID', 'staff_experience', 'meals_served', 'past_waste_kg', 'day_of_week', 'temperature_C', 'date', 'food_waste_kg', 'special_event'}) and 9 missing columns ({'meal_id', 'week', 'num_orders', 'emailer_for_promotion', 'checkout_price', 'base_price', 'homepage_featured', 'center_id', 'id'}).

This happened while the csv dataset builder was generating data using

hf://datasets/marvelishere/dataset-datathon-2025-MATA/train_foodwaste.csv (at revision f59906b01605eecb033d07e7a4646d893fd5ef52)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              ID: int64
              date: string
              meals_served: int64
              kitchen_staff: int64
              temperature_C: double
              humidity_percent: double
              day_of_week: int64
              special_event: int64
              past_waste_kg: double
              staff_experience: string
              waste_category: string
              food_waste_kg: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1730
              to
              {'id': Value('int64'), 'week': Value('int64'), 'center_id': Value('int64'), 'meal_id': Value('int64'), 'checkout_price': Value('float64'), 'base_price': Value('float64'), 'emailer_for_promotion': Value('int64'), 'homepage_featured': Value('int64'), 'num_orders': Value('int64')}
              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 1456, 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 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 1833, 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 12 new columns ({'kitchen_staff', 'humidity_percent', 'waste_category', 'ID', 'staff_experience', 'meals_served', 'past_waste_kg', 'day_of_week', 'temperature_C', 'date', 'food_waste_kg', 'special_event'}) and 9 missing columns ({'meal_id', 'week', 'num_orders', 'emailer_for_promotion', 'checkout_price', 'base_price', 'homepage_featured', 'center_id', 'id'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/marvelishere/dataset-datathon-2025-MATA/train_foodwaste.csv (at revision f59906b01605eecb033d07e7a4646d893fd5ef52)
              
              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
week
int64
center_id
int64
meal_id
int64
checkout_price
float64
base_price
float64
emailer_for_promotion
int64
homepage_featured
int64
num_orders
int64
1,379,560
1
55
1,885
136.83
152.29
0
0
177
1,466,964
1
55
1,993
136.83
135.83
0
0
270
1,346,989
1
55
2,539
134.86
135.86
0
0
189
1,338,232
1
55
2,139
339.5
437.53
0
0
54
1,448,490
1
55
2,631
243.5
242.5
0
0
40
1,270,037
1
55
1,248
251.23
252.23
0
0
28
1,191,377
1
55
1,778
183.36
184.36
0
0
190
1,499,955
1
55
1,062
182.36
183.36
0
0
391
1,025,244
1
55
2,707
193.06
192.06
0
0
472
1,054,194
1
55
1,207
325.92
384.18
0
1
676
1,469,367
1
55
1,230
323.01
390
0
1
823
1,029,333
1
55
2,322
322.07
388
0
1
972
1,446,016
1
55
2,290
311.43
310.43
0
0
162
1,244,647
1
55
1,727
445.23
446.23
0
0
420
1,378,227
1
55
1,109
264.84
297.79
1
0
756
1,181,556
1
55
2,640
282.33
281.33
0
0
108
1,313,873
1
55
2,306
243.5
340.53
0
0
28
1,067,069
1
55
2,126
486
485
0
0
28
1,058,482
1
55
2,826
306.58
305.58
0
0
188
1,240,935
1
55
1,754
289.12
289.12
0
0
485
1,044,821
1
55
1,971
259.99
320.13
1
1
798
1,149,039
1
55
1,902
388.03
446.23
0
0
14
1,263,416
1
55
1,311
196.94
320.13
0
0
176
1,323,882
1
55
1,803
117.4
188.24
0
0
150
1,338,119
1
55
1,558
583.03
610.13
1
0
162
1,188,372
1
55
2,581
583.03
612.13
1
0
312
1,440,008
1
55
1,962
582.03
612.13
1
0
231
1,336,534
1
55
1,445
628.62
627.62
0
0
13
1,242,186
1
55
2,444
627.62
626.62
0
0
15
1,012,819
1
55
2,867
628.62
626.62
0
0
13
1,038,567
1
55
1,525
243.5
282.33
0
0
15
1,325,272
1
55
2,704
243.5
282.33
0
0
13
1,412,058
1
55
2,304
484.03
484.03
0
0
13
1,040,403
1
24
1,885
136.83
136.83
0
0
1,498
1,012,104
1
24
1,993
134.83
135.83
0
1
1,243
1,277,150
1
24
2,539
135.86
135.86
0
0
391
1,323,742
1
24
2,139
340.5
435.53
0
0
55
1,417,386
1
24
2,631
247.38
248.38
0
0
67
1,367,249
1
24
1,248
247.35
248.35
0
0
81
1,168,714
1
24
1,778
177.51
179.51
0
0
377
1,351,400
1
24
1,062
184.36
182.36
0
0
514
1,496,539
1
24
2,707
190.18
188.18
0
0
1,176
1,372,248
1
24
1,207
319.19
380.27
0
0
256
1,292,501
1
24
1,230
336.65
390
0
0
243
1,346,854
1
24
2,322
322.07
387.09
0
0
324
1,291,642
1
24
2,290
298.82
296.82
0
0
998
1,226,536
1
24
1,727
412.28
411.28
0
0
702
1,165,348
1
24
1,109
243.47
273.54
1
0
877
1,079,470
1
24
2,577
280.33
281.33
0
0
134
1,192,984
1
24
2,640
282.33
281.33
0
0
285
1,386,769
1
24
1,878
281.33
280.33
0
0
95
1,336,850
1
24
2,306
242.5
338.53
0
0
82
1,211,094
1
24
1,216
454.93
455.93
0
0
42
1,022,907
1
24
2,126
485
486
0
0
54
1,276,642
1
24
2,826
301.73
301.73
0
0
744
1,290,603
1
24
1,754
278.42
278.42
0
0
393
1,457,468
1
24
1,971
259.05
291.03
1
1
554
1,352,863
1
24
1,902
389.03
447.23
0
0
27
1,488,172
1
24
1,247
387.03
446.23
0
0
28
1,107,611
1
24
1,770
340.53
486.03
0
0
54
1,298,505
1
24
1,198
147.5
191.09
0
0
148
1,036,135
1
24
1,311
156.23
196
0
0
393
1,215,208
1
24
1,803
166.87
188.18
0
0
364
1,331,930
1
24
1,438
245.44
245.44
0
0
176
1,441,421
1
24
2,494
244.5
272.63
0
0
109
1,333,208
1
24
1,847
243.5
271.63
0
0
96
1,490,163
1
24
1,558
582.03
624.74
1
0
215
1,004,790
1
24
2,581
582.03
617.89
1
0
419
1,286,681
1
24
1,962
588.85
610.13
1
1
634
1,385,562
1
24
1,445
628.62
627.62
0
0
27
1,183,203
1
24
2,444
626.62
627.62
0
0
27
1,109,344
1
24
2,760
242.53
243.53
0
0
122
1,166,775
1
24
1,525
244.5
281.33
0
0
487
1,382,473
1
24
2,704
244.5
280.33
0
0
243
1,051,179
1
24
2,492
387.03
388.03
0
0
81
1,220,763
1
24
1,543
484.03
484.03
0
0
107
1,488,442
1
24
2,304
486.03
486.03
0
0
203
1,103,215
1
11
1,885
136.83
136.83
0
0
959
1,093,939
1
11
1,993
133.89
133.89
0
0
1,052
1,120,771
1
11
2,539
133.86
135.86
0
0
379
1,472,938
1
11
2,139
339.5
436.53
0
0
54
1,136,817
1
11
2,631
251.23
251.23
0
0
80
1,425,970
1
11
1,248
253.23
253.23
0
0
27
1,053,516
1
11
1,778
183.39
181.39
0
0
620
1,057,835
1
11
1,062
184.36
182.36
0
0
798
1,309,667
1
11
2,707
190.12
192.12
0
0
1,594
1,277,077
1
11
1,207
315.25
353.08
0
1
446
1,039,023
1
11
1,230
325.98
380.3
0
0
391
1,483,315
1
11
2,322
324.04
383.21
0
0
513
1,474,933
1
11
2,290
292.97
293.97
0
0
703
1,305,533
1
11
1,727
364.78
403.52
0
0
879
1,426,280
1
11
1,109
237.68
262.9
1
0
1,984
1,114,533
1
11
2,577
281.33
281.33
0
0
202
1,192,269
1
11
2,640
280.33
282.33
0
0
271
1,351,149
1
11
1,878
281.33
282.33
0
0
68
1,039,383
1
11
2,306
243.5
338.53
0
0
258
1,435,407
1
11
1,216
456.93
456.93
0
1
13
1,199,821
1
11
2,826
338.53
338.53
0
0
458
1,157,042
1
11
1,754
273.54
275.54
0
0
729
1,200,664
1
11
1,971
259.99
327.86
1
0
528
End of preview.
README.md exists but content is empty.
Downloads last month
50