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Datasets:
AETHORIA-AI
/
GSM8K-TR-HASH-Agentic-32K

Tasks:
Text Generation
License:
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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
assistant_supervision: string
bos_token_id: int64
categories: struct<supervised_math_reasoning: int64>
  child 0, supervised_math_reasoning: int64
chat_template_id: string
eos_token_id: int64
examples: int64
files: struct<examples.jsonl: string, input_ids.bin: string, labels.bin: string>
  child 0, examples.jsonl: string
  child 1, input_ids.bin: string
  child 2, labels.bin: string
format: string
history_assistant_turns: string
no_truncation: bool
num_tokens: int64
pad_token_id: int64
seq_len: int64
source_split: string
supervised_tokens: int64
test_split_present: bool
tokenizer: struct<repository: string, revision: string>
  child 0, repository: string
  child 1, revision: string
vocab_size: int64
example_id: string
task: string
offset: int64
source: string
to
{'example_id': Value('string'), 'task': Value('string'), 'source': Value('string'), 'source_split': Value('string'), 'offset': Value('int64'), 'num_tokens': Value('int64'), 'supervised_tokens': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              assistant_supervision: string
              bos_token_id: int64
              categories: struct<supervised_math_reasoning: int64>
                child 0, supervised_math_reasoning: int64
              chat_template_id: string
              eos_token_id: int64
              examples: int64
              files: struct<examples.jsonl: string, input_ids.bin: string, labels.bin: string>
                child 0, examples.jsonl: string
                child 1, input_ids.bin: string
                child 2, labels.bin: string
              format: string
              history_assistant_turns: string
              no_truncation: bool
              num_tokens: int64
              pad_token_id: int64
              seq_len: int64
              source_split: string
              supervised_tokens: int64
              test_split_present: bool
              tokenizer: struct<repository: string, revision: string>
                child 0, repository: string
                child 1, revision: string
              vocab_size: int64
              example_id: string
              task: string
              offset: int64
              source: string
              to
              {'example_id': Value('string'), 'task': Value('string'), 'source': Value('string'), 'source_split': Value('string'), 'offset': Value('int64'), 'num_tokens': Value('int64'), 'supervised_tokens': Value('int64')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              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 1694, 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 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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example_id
string
task
string
source
string
source_split
string
offset
int64
num_tokens
int64
supervised_tokens
int64
gsm8k-train-00000
supervised_math_reasoning
openai/gsm8k
train
0
76
36
gsm8k-train-00001
supervised_math_reasoning
openai/gsm8k
train
76
71
37
gsm8k-train-00002
supervised_math_reasoning
openai/gsm8k
train
147
116
54
gsm8k-train-00003
supervised_math_reasoning
openai/gsm8k
train
263
128
75
gsm8k-train-00004
supervised_math_reasoning
openai/gsm8k
train
391
72
45
gsm8k-train-00005
supervised_math_reasoning
openai/gsm8k
train
463
153
90
gsm8k-train-00006
supervised_math_reasoning
openai/gsm8k
train
616
105
46
gsm8k-train-00007
supervised_math_reasoning
openai/gsm8k
train
721
198
90
gsm8k-train-00008
supervised_math_reasoning
openai/gsm8k
train
919
188
82
gsm8k-train-00009
supervised_math_reasoning
openai/gsm8k
train
1,107
302
238
gsm8k-train-00010
supervised_math_reasoning
openai/gsm8k
train
1,409
194
117
gsm8k-train-00011
supervised_math_reasoning
openai/gsm8k
train
1,603
178
79
gsm8k-train-00012
supervised_math_reasoning
openai/gsm8k
train
1,781
97
55
gsm8k-train-00013
supervised_math_reasoning
openai/gsm8k
train
1,878
128
54
gsm8k-train-00014
supervised_math_reasoning
openai/gsm8k
train
2,006
77
50
gsm8k-train-00015
supervised_math_reasoning
openai/gsm8k
train
2,083
163
101
gsm8k-train-00016
supervised_math_reasoning
openai/gsm8k
train
2,246
124
72
gsm8k-train-00017
supervised_math_reasoning
openai/gsm8k
train
2,370
232
158
gsm8k-train-00018
supervised_math_reasoning
openai/gsm8k
train
2,602
166
99
gsm8k-train-00019
supervised_math_reasoning
openai/gsm8k
train
2,768
118
59
gsm8k-train-00020
supervised_math_reasoning
openai/gsm8k
train
2,886
121
46
gsm8k-train-00021
supervised_math_reasoning
openai/gsm8k
train
3,007
138
90
gsm8k-train-00022
supervised_math_reasoning
openai/gsm8k
train
3,145
138
70
gsm8k-train-00023
supervised_math_reasoning
openai/gsm8k
train
3,283
154
99
gsm8k-train-00024
supervised_math_reasoning
openai/gsm8k
train
3,437
119
40
gsm8k-train-00025
supervised_math_reasoning
openai/gsm8k
train
3,556
200
114
gsm8k-train-00026
supervised_math_reasoning
openai/gsm8k
train
3,756
114
59
gsm8k-train-00027
supervised_math_reasoning
openai/gsm8k
train
3,870
206
125
gsm8k-train-00028
supervised_math_reasoning
openai/gsm8k
train
4,076
96
48
gsm8k-train-00029
supervised_math_reasoning
openai/gsm8k
train
4,172
223
170
gsm8k-train-00030
supervised_math_reasoning
openai/gsm8k
train
4,395
137
77
gsm8k-train-00031
supervised_math_reasoning
openai/gsm8k
train
4,532
145
81
gsm8k-train-00032
supervised_math_reasoning
openai/gsm8k
train
4,677
176
67
gsm8k-train-00033
supervised_math_reasoning
openai/gsm8k
train
4,853
165
97
gsm8k-train-00034
supervised_math_reasoning
openai/gsm8k
train
5,018
85
42
gsm8k-train-00035
supervised_math_reasoning
openai/gsm8k
train
5,103
104
57
gsm8k-train-00036
supervised_math_reasoning
openai/gsm8k
train
5,207
97
49
gsm8k-train-00037
supervised_math_reasoning
openai/gsm8k
train
5,304
199
114
gsm8k-train-00038
supervised_math_reasoning
openai/gsm8k
train
5,503
101
32
gsm8k-train-00039
supervised_math_reasoning
openai/gsm8k
train
5,604
160
82
gsm8k-train-00040
supervised_math_reasoning
openai/gsm8k
train
5,764
157
116
gsm8k-train-00041
supervised_math_reasoning
openai/gsm8k
train
5,921
129
59
gsm8k-train-00042
supervised_math_reasoning
openai/gsm8k
train
6,050
136
79
gsm8k-train-00043
supervised_math_reasoning
openai/gsm8k
train
6,186
128
70
gsm8k-train-00044
supervised_math_reasoning
openai/gsm8k
train
6,314
124
62
gsm8k-train-00045
supervised_math_reasoning
openai/gsm8k
train
6,438
170
84
gsm8k-train-00046
supervised_math_reasoning
openai/gsm8k
train
6,608
162
117
gsm8k-train-00047
supervised_math_reasoning
openai/gsm8k
train
6,770
111
57
gsm8k-train-00048
supervised_math_reasoning
openai/gsm8k
train
6,881
80
32
gsm8k-train-00049
supervised_math_reasoning
openai/gsm8k
train
6,961
84
24
gsm8k-train-00050
supervised_math_reasoning
openai/gsm8k
train
7,045
136
64
gsm8k-train-00051
supervised_math_reasoning
openai/gsm8k
train
7,181
164
106
gsm8k-train-00052
supervised_math_reasoning
openai/gsm8k
train
7,345
98
47
gsm8k-train-00053
supervised_math_reasoning
openai/gsm8k
train
7,443
123
61
gsm8k-train-00054
supervised_math_reasoning
openai/gsm8k
train
7,566
159
86
gsm8k-train-00055
supervised_math_reasoning
openai/gsm8k
train
7,725
83
51
gsm8k-train-00056
supervised_math_reasoning
openai/gsm8k
train
7,808
140
79
gsm8k-train-00057
supervised_math_reasoning
openai/gsm8k
train
7,948
173
110
gsm8k-train-00058
supervised_math_reasoning
openai/gsm8k
train
8,121
194
122
gsm8k-train-00059
supervised_math_reasoning
openai/gsm8k
train
8,315
154
71
gsm8k-train-00060
supervised_math_reasoning
openai/gsm8k
train
8,469
157
98
gsm8k-train-00061
supervised_math_reasoning
openai/gsm8k
train
8,626
176
76
gsm8k-train-00062
supervised_math_reasoning
openai/gsm8k
train
8,802
95
60
gsm8k-train-00063
supervised_math_reasoning
openai/gsm8k
train
8,897
145
59
gsm8k-train-00064
supervised_math_reasoning
openai/gsm8k
train
9,042
143
87
gsm8k-train-00065
supervised_math_reasoning
openai/gsm8k
train
9,185
89
44
gsm8k-train-00066
supervised_math_reasoning
openai/gsm8k
train
9,274
214
148
gsm8k-train-00067
supervised_math_reasoning
openai/gsm8k
train
9,488
223
144
gsm8k-train-00068
supervised_math_reasoning
openai/gsm8k
train
9,711
165
108
gsm8k-train-00069
supervised_math_reasoning
openai/gsm8k
train
9,876
87
54
gsm8k-train-00070
supervised_math_reasoning
openai/gsm8k
train
9,963
59
26
gsm8k-train-00071
supervised_math_reasoning
openai/gsm8k
train
10,022
139
74
gsm8k-train-00072
supervised_math_reasoning
openai/gsm8k
train
10,161
213
127
gsm8k-train-00073
supervised_math_reasoning
openai/gsm8k
train
10,374
124
54
gsm8k-train-00074
supervised_math_reasoning
openai/gsm8k
train
10,498
96
43
gsm8k-train-00075
supervised_math_reasoning
openai/gsm8k
train
10,594
146
90
gsm8k-train-00076
supervised_math_reasoning
openai/gsm8k
train
10,740
93
62
gsm8k-train-00077
supervised_math_reasoning
openai/gsm8k
train
10,833
81
33
gsm8k-train-00078
supervised_math_reasoning
openai/gsm8k
train
10,914
107
48
gsm8k-train-00079
supervised_math_reasoning
openai/gsm8k
train
11,021
58
31
gsm8k-train-00080
supervised_math_reasoning
openai/gsm8k
train
11,079
131
74
gsm8k-train-00081
supervised_math_reasoning
openai/gsm8k
train
11,210
194
93
gsm8k-train-00082
supervised_math_reasoning
openai/gsm8k
train
11,404
120
78
gsm8k-train-00083
supervised_math_reasoning
openai/gsm8k
train
11,524
169
109
gsm8k-train-00084
supervised_math_reasoning
openai/gsm8k
train
11,693
101
44
gsm8k-train-00085
supervised_math_reasoning
openai/gsm8k
train
11,794
109
47
gsm8k-train-00086
supervised_math_reasoning
openai/gsm8k
train
11,903
82
39
gsm8k-train-00087
supervised_math_reasoning
openai/gsm8k
train
11,985
90
41
gsm8k-train-00088
supervised_math_reasoning
openai/gsm8k
train
12,075
80
43
gsm8k-train-00089
supervised_math_reasoning
openai/gsm8k
train
12,155
139
81
gsm8k-train-00090
supervised_math_reasoning
openai/gsm8k
train
12,294
142
92
gsm8k-train-00091
supervised_math_reasoning
openai/gsm8k
train
12,436
173
97
gsm8k-train-00092
supervised_math_reasoning
openai/gsm8k
train
12,609
199
126
gsm8k-train-00093
supervised_math_reasoning
openai/gsm8k
train
12,808
104
60
gsm8k-train-00094
supervised_math_reasoning
openai/gsm8k
train
12,912
54
28
gsm8k-train-00095
supervised_math_reasoning
openai/gsm8k
train
12,966
170
112
gsm8k-train-00096
supervised_math_reasoning
openai/gsm8k
train
13,136
104
41
gsm8k-train-00097
supervised_math_reasoning
openai/gsm8k
train
13,240
179
80
gsm8k-train-00098
supervised_math_reasoning
openai/gsm8k
train
13,419
180
99
gsm8k-train-00099
supervised_math_reasoning
openai/gsm8k
train
13,599
190
97
End of preview.

GSM8K TR-HASH Agentic 32K

Public experimental projection of the pinned GSM8K train split for TR-HASH Agentic SFT. The GSM8K test split is excluded from every training file and reserved for supervised-checkpoint evaluation.

  • Source: openai/gsm8k @ 740312add88f781978c0658806c59bc2815b9866
  • Tokenizer: AETHORIA-AI/TR-HASH-Tokenizer-32K-Agentic @ 2fcbc2c5359ded0244ca14531f1b3806eebac55e
  • Train examples: 7,473
  • Training epochs are a model-run choice; this artifact contains one copy of each source-train example.
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Total file size:
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