Datasets:

EduDevCommons
/

Student-Dropout-Success-All-Academic-Levels

Tasks:

Tabular Classification

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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 6 new columns ({'grade', 'year', 'economic_status', 'total_students', 'dropout_rate', 'dropout_count'}) and 11 missing columns ({'online_access_count', 'final_points', 'project_grades', 'semester', 'student_id', 'graduate', 'academic_year', 'final_grade', 'test_scores', 'assignment_completion', 'engagement_score'}).

This happened while the csv dataset builder was generating data using

zip://massachusetts_school_district_aggregates.csv::hf://datasets/EduDevCommons/Student-Dropout-Success-All-Academic-Levels@4e3f83b8cd77fe7ce078008f70fc6e520dab0c26/Student Dropout & Success – All Academic Levels.zip, ['hf://datasets/EduDevCommons/Student-Dropout-Success-All-Academic-Levels@4e3f83b8cd77fe7ce078008f70fc6e520dab0c26/Student Dropout & Success – All Academic Levels.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 "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              year: int64
              grade: int64
              economic_status: string
              dropout_rate: double
              total_students: int64
              dropout_count: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 994
              to
              {'student_id': Value('int64'), 'academic_year': Value('int64'), 'online_access_count': Value('int64'), 'test_scores': Value('float64'), 'project_grades': Value('float64'), 'assignment_completion': Value('float64'), 'final_points': Value('float64'), 'final_grade': Value('string'), 'graduate': Value('int64'), 'semester': Value('int64'), 'engagement_score': Value('float64')}
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 6 new columns ({'grade', 'year', 'economic_status', 'total_students', 'dropout_rate', 'dropout_count'}) and 11 missing columns ({'online_access_count', 'final_points', 'project_grades', 'semester', 'student_id', 'graduate', 'academic_year', 'final_grade', 'test_scores', 'assignment_completion', 'engagement_score'}).
              
              This happened while the csv dataset builder was generating data using
              
              zip://massachusetts_school_district_aggregates.csv::hf://datasets/EduDevCommons/Student-Dropout-Success-All-Academic-Levels@4e3f83b8cd77fe7ce078008f70fc6e520dab0c26/Student Dropout & Success – All Academic Levels.zip, ['hf://datasets/EduDevCommons/Student-Dropout-Success-All-Academic-Levels@4e3f83b8cd77fe7ce078008f70fc6e520dab0c26/Student Dropout & Success – All Academic Levels.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.

student_id int64	academic_year int64	online_access_count int64	test_scores float64	project_grades float64	assignment_completion float64	final_points float64	final_grade string	graduate int64	semester int64	engagement_score float64
0	2,022	2	87.606505	69.577144	64.599768	264.562837	D	1	1	0.342999
1	2,021	5	47.335127	76.040918	84.412371	239.433318	F	1	2	0.472062
2	2,020	3	75.754601	74.757817	46.763495	209.885113	D	1	2	0.263817
3	2,023	4	75.000033	94.384736	97.381338	304.200985	C	0	1	0.526907
4	2,021	0	72.648452	64.168992	67.325784	400	C	1	2	0.336629
5	2,022	5	85.299098	93.653991	93.578164	200.527115	B	1	1	0.517891
6	2,023	11	86.092793	81.258665	77.740697	324.334953	C	0	2	0.498703
7	2,019	4	81.497995	75.890995	84.416186	315.001442	C	1	2	0.462081
8	2,022	1	76.663123	91.92245	91.931873	309.476546	C	1	2	0.469659
9	2,023	4	80.198324	80.564275	85.716312	267.056151	B	1	1	0.468582
10	2,020	11	58.85552	97.424287	54.550127	261.554266	C	1	1	0.382751
11	2,019	7	97.690177	65.951183	83.905058	349.488597	B	0	2	0.489525
12	2,019	2	71.799543	83.081863	95.842088	383.240254	D	1	2	0.49921
13	2,020	7	100	73.39139	92.657374	330.51478	C	0	2	0.533287
14	2,020	3	74.861816	81.146119	71.970682	339.920391	B	1	1	0.389853
15	2,020	4	80.296963	83.066171	72.165341	268.701799	B	1	2	0.400827
16	2,019	8	100	85.150715	98.626986	335.712099	C	1	1	0.573135
17	2,020	5	68.794127	67.726058	88.189296	308.309537	F	1	2	0.490946
18	2,023	2	86.908776	95.94523	79.381712	275.842258	C	1	2	0.416909
19	2,020	6	96.810471	51.466182	87.566024	180.169337	A	1	1	0.49783
20	2,023	1	71.723948	73.424447	75.14938	314.604937	A	1	1	0.385747
21	2,020	6	57.032755	97.073068	90.9775	289.919979	D	0	2	0.514887
22	2,022	6	84.576651	78.217297	51.12555	285.401394	F	1	2	0.315628
23	2,019	4	91.084765	75.368683	60.050961	257.003653	F	0	2	0.340255
24	2,020	5	54.945839	74.938832	68.394873	274.435333	C	0	2	0.391974
25	2,023	5	63.988647	55.460144	93.871608	362.282096	B	1	2	0.519358
26	2,020	9	91.706886	86.046703	71.01788	230.774364	B	0	2	0.445089
27	2,022	4	89.928124	100	85.981508	224.700957	C	0	2	0.469908
28	2,023	4	72.388412	65.932307	94.19918	246.611144	C	1	1	0.510996
29	2,020	2	84.202577	90.211434	86.177742	260.027311	A	1	1	0.450889
30	2,021	5	85.005985	63.693465	96.333789	234.366138	F	1	2	0.531669
31	2,022	2	87.059051	95.422295	96.051345	326.282694	A	1	2	0.500257
32	2,022	1	64.103923	74.413997	87.460874	249.960177	D	1	2	0.447304
33	2,022	6	93.162174	84.851403	86.243754	334.044507	A	1	1	0.491219
34	2,019	1	100	80.476056	81.962694	336.013765	C	1	2	0.419813
35	2,019	4	77.156041	90.132728	72.225674	258.881109	B	1	1	0.401128
36	2,023	2	42.72817	85.572968	89.782925	245.582391	B	1	2	0.468915
37	2,019	17	47.207613	74.227859	77.368662	254.330111	C	0	1	0.556843
38	2,020	5	61.395187	66.202794	89.945781	291.724024	B	1	1	0.499729
39	2,020	9	81.71439	65.297015	79.007445	227.55884	A	0	2	0.485037
40	2,023	5	97.840771	94.527129	75.225373	314.747337	C	1	1	0.426127
41	2,021	5	66.101401	84.140679	85.922499	165.384626	C	1	2	0.479612
42	2,020	3	77.283978	82.798175	82.600827	365.301623	C	1	1	0.443004
43	2,019	4	44.991619	61.641738	83.755027	312.69073	F	1	1	0.458775
44	2,021	6	74.771645	72.274745	62.159607	177.616041	C	0	1	0.370798
45	2,023	4	64.967792	85.090663	71.424833	211.60706	B	1	1	0.397124
46	2,021	2	65.705235	87.923819	74.069337	289.784191	B	1	2	0.390347
47	2,021	0	77.840804	96.152387	71.748064	207.789063	C	0	2	0.35874
48	2,019	5	83.783159	76.28018	65.399202	284.666601	B	1	1	0.376996
49	2,019	8	62.838521	71.283503	66.526935	313.777016	F	1	1	0.412635
50	2,019	4	74.45452	82.455476	72.255968	362.405085	A	1	1	0.40128
51	2,020	5	93.720772	84.333131	93.733858	209.098099	B	1	2	0.518669
52	2,020	4	77.096225	94.949716	87.631301	217.122129	C	1	2	0.478157
53	2,023	6	57.886837	88.603848	72.960041	295.258082	B	1	1	0.4248
54	2,022	8	43.078941	71.45623	94.773182	233.801565	C	1	1	0.553866
55	2,021	2	71.801654	99.004204	84.351514	277.577818	C	1	1	0.441758
56	2,020	13	71.479743	63.105001	78.852695	276.040293	A	1	2	0.524263
57	2,020	4	68.737418	77.79481	73.117865	359.96547	A	1	2	0.405589
58	2,023	20	65.890096	82.56166	68.22687	303.212412	B	1	1	0.541134
59	2,019	4	92.477481	86.259449	72.208442	235.442037	C	1	1	0.401042
60	2,020	7	59.976837	73.183309	90.900386	307.918511	B	1	2	0.524502
61	2,019	6	66.334452	97.661943	60.821495	276.725549	D	1	1	0.364107
62	2,019	2	60.930649	85.197756	79.789568	261.741767	F	1	1	0.418948
63	2,019	7	86.652806	69.253543	72.109185	246.48553	B	1	1	0.430546
64	2,023	9	85.045437	82.202647	64.716135	313.94854	C	1	1	0.413581
65	2,022	5	66.423981	73.449643	85.232931	291.9722	C	1	1	0.476165
66	2,021	1	71.324641	96.969406	80.86141	314.153975	B	1	2	0.414307
67	2,021	11	68.884086	89.06365	70.350007	309.162599	F	1	2	0.46175
68	2,021	3	79.293251	80.18449	87.099305	338.59257	A	1	2	0.465497
69	2,022	2	43.178675	89.128371	79.942315	333.50064	C	1	2	0.419712
70	2,019	6	79.243776	63.42288	48.026811	274.075157	C	0	1	0.300134
71	2,019	5	76.134766	65.137407	81.664719	217.454909	C	1	1	0.458324
72	2,021	4	82.396368	88.340619	95.791481	265.350647	D	1	1	0.518957
73	2,020	4	82.63017	88.247369	81.8785	334.777569	C	0	1	0.449393
74	2,021	5	83.724764	93.332017	78.704033	277.622886	B	1	1	0.44352
75	2,020	2	64.383927	74.835688	79.101894	262.343183	F	1	2	0.415509
76	2,020	6	64.382735	87.852724	68.23857	318.642421	B	1	1	0.401193
77	2,023	10	84.498121	77.734754	52.709349	389.008	C	1	2	0.363547
78	2,021	11	90.044796	93.682181	82.102817	307.97126	A	1	1	0.520514
79	2,022	4	89.476256	80.703314	92.167131	292.396864	B	1	1	0.500836
80	2,022	9	56.655184	80.570855	83.182934	245.209811	B	1	1	0.505915
81	2,022	3	64.733795	76.667368	91.455663	281.526259	D	1	1	0.487278
82	2,019	5	66.901169	73.309998	88.398663	238.763592	C	1	1	0.491993
83	2,019	9	84.53893	77.429861	80.100422	197.099504	A	1	1	0.490502
84	2,021	5	62.508738	85.262457	63.18682	284.495403	B	1	2	0.365934
85	2,023	6	66.906307	87.316383	72.742289	322.782834	B	1	2	0.423711
86	2,022	6	69.36328	89.050271	79.31646	325.957198	C	1	2	0.456582
87	2,021	12	70.011552	86.943177	91.859454	230.69969	C	1	2	0.579297
88	2,020	1	69.662315	76.964142	78.647592	283.706619	C	1	2	0.403238
89	2,021	0	65.394632	64.371212	88.854593	330.014998	C	1	1	0.444273
90	2,020	3	60.192746	90.69412	85.615436	266.488594	B	1	1	0.458077
91	2,021	9	76.133737	77.832018	94.659667	345.931626	C	1	1	0.563298
92	2,020	12	98.144116	57.573809	84.389262	303.323906	C	1	1	0.541946
93	2,019	5	82.150322	100	91.204608	295.850129	B	1	1	0.506023
94	2,019	3	73.51863	67.487621	84.659581	311.898157	D	1	1	0.453298
95	2,020	1	85.153575	83.000644	67.135439	245.970023	B	1	1	0.345677
96	2,019	3	83.141134	98.700424	70.096515	360.62203	C	1	1	0.380483
97	2,023	9	92.389102	84.189031	75.878949	215.097941	C	0	1	0.469395
98	2,021	3	57.920218	62.8785	82.668511	225.974003	B	1	2	0.443343
99	2,022	6	44.050776	90.524372	90.96487	251.609276	C	1	1	0.514824

End of preview.

Student Dropout & Success – All Academic Levels

This dataset was published on Kaggle by Samyakraj Bayar and mirrored here.

Download

The dataset is available as a ZIP archive: Student Dropout & Success – All Academic Levels.zip

License

MIT

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Total file size:

4.14 MB