Datasets:

Maple728
/

Time-300B

Dataset card Viewer Files Files and versions Community

Split (1)

train

The full dataset viewer is not available (click to read why). Only showing a preview of the rows.

The dataset generation failed

Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<data-1-of-8.bin: int64, data-2-of-8.bin: int64, data-3-of-8.bin: int64, data-4-of-8.bin: int64, data-5-of-8.bin: int64, data-6-of-8.bin: int64, data-7-of-8.bin: int64, data-8-of-8.bin: int64>
to
{'data-1-of-1.bin': Value(dtype='int64', id=None)}
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 2245, in cast_table_to_schema
                  arrays = [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2246, in <listcomp>
                  cast_array_to_feature(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in <listcomp>
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2108, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<data-1-of-8.bin: int64, data-2-of-8.bin: int64, data-3-of-8.bin: int64, data-4-of-8.bin: int64, data-5-of-8.bin: int64, data-6-of-8.bin: int64, data-7-of-8.bin: int64, data-8-of-8.bin: int64>
              to
              {'data-1-of-1.bin': Value(dtype='int64', id=None)}
              
              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 1387, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in stream_convert_to_parquet
                  builder._prepare_split(
                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 1896, 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

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.

num_sequences int64	dtype string	files dict	scales list
160	float32	{ "data-1-of-1.bin": 11680 }	[ { "offset": 0, "length": 73 }, { "offset": 73, "length": 73 }, { "offset": 146, "length": 73 }, { "offset": 219, "length": 73 }, { "offset": 292, "length": 73 }, { "offset": 365, "length": 73 }, { "offset": 438, "length": 73 }, { "offset": 511, "length": 73 }, { "offset": 584, "length": 73 }, { "offset": 657, "length": 73 }, { "offset": 730, "length": 73 }, { "offset": 803, "length": 73 }, { "offset": 876, "length": 73 }, { "offset": 949, "length": 73 }, { "offset": 1022, "length": 73 }, { "offset": 1095, "length": 73 }, { "offset": 1168, "length": 73 }, { "offset": 1241, "length": 73 }, { "offset": 1314, "length": 73 }, { "offset": 1387, "length": 73 }, { "offset": 1460, "length": 73 }, { "offset": 1533, "length": 73 }, { "offset": 1606, "length": 73 }, { "offset": 1679, "length": 73 }, { "offset": 1752, "length": 73 }, { "offset": 1825, "length": 73 }, { "offset": 1898, "length": 73 }, { "offset": 1971, "length": 73 }, { "offset": 2044, "length": 73 }, { "offset": 2117, "length": 73 }, { "offset": 2190, "length": 73 }, { "offset": 2263, "length": 73 }, { "offset": 2336, "length": 73 }, { "offset": 2409, "length": 73 }, { "offset": 2482, "length": 73 }, { "offset": 2555, "length": 73 }, { "offset": 2628, "length": 73 }, { "offset": 2701, "length": 73 }, { "offset": 2774, "length": 73 }, { "offset": 2847, "length": 73 }, { "offset": 2920, "length": 73 }, { "offset": 2993, "length": 73 }, { "offset": 3066, "length": 73 }, { "offset": 3139, "length": 73 }, { "offset": 3212, "length": 73 }, { "offset": 3285, "length": 73 }, { "offset": 3358, "length": 73 }, { "offset": 3431, "length": 73 }, { "offset": 3504, "length": 73 }, { "offset": 3577, "length": 73 }, { "offset": 3650, "length": 73 }, { "offset": 3723, "length": 73 }, { "offset": 3796, "length": 73 }, { "offset": 3869, "length": 73 }, { "offset": 3942, "length": 73 }, { "offset": 4015, "length": 73 }, { "offset": 4088, "length": 73 }, { "offset": 4161, "length": 73 }, { "offset": 4234, "length": 73 }, { "offset": 4307, "length": 73 }, { "offset": 4380, "length": 73 }, { "offset": 4453, "length": 73 }, { "offset": 4526, "length": 73 }, { "offset": 4599, "length": 73 }, { "offset": 4672, "length": 73 }, { "offset": 4745, "length": 73 }, { "offset": 4818, "length": 73 }, { "offset": 4891, "length": 73 }, { "offset": 4964, "length": 73 }, { "offset": 5037, "length": 73 }, { "offset": 5110, "length": 73 }, { "offset": 5183, "length": 73 }, { "offset": 5256, "length": 73 }, { "offset": 5329, "length": 73 }, { "offset": 5402, "length": 73 }, { "offset": 5475, "length": 73 }, { "offset": 5548, "length": 73 }, { "offset": 5621, "length": 73 }, { "offset": 5694, "length": 73 }, { "offset": 5767, "length": 73 }, { "offset": 5840, "length": 73 }, { "offset": 5913, "length": 73 }, { "offset": 5986, "length": 73 }, { "offset": 6059, "length": 73 }, { "offset": 6132, "length": 73 }, { "offset": 6205, "length": 73 }, { "offset": 6278, "length": 73 }, { "offset": 6351, "length": 73 }, { "offset": 6424, "length": 73 }, { "offset": 6497, "length": 73 }, { "offset": 6570, "length": 73 }, { "offset": 6643, "length": 73 }, { "offset": 6716, "length": 73 }, { "offset": 6789, "length": 73 }, { "offset": 6862, "length": 73 }, { "offset": 6935, "length": 73 }, { "offset": 7008, "length": 73 }, { "offset": 7081, "length": 73 }, { "offset": 7154, "length": 73 }, { "offset": 7227, "length": 73 }, { "offset": 7300, "length": 73 }, { "offset": 7373, "length": 73 }, { "offset": 7446, "length": 73 }, { "offset": 7519, "length": 73 }, { "offset": 7592, "length": 73 }, { "offset": 7665, "length": 73 }, { "offset": 7738, "length": 73 }, { "offset": 7811, "length": 73 }, { "offset": 7884, "length": 73 }, { "offset": 7957, "length": 73 }, { "offset": 8030, "length": 73 }, { "offset": 8103, "length": 73 }, { "offset": 8176, "length": 73 }, { "offset": 8249, "length": 73 }, { "offset": 8322, "length": 73 }, { "offset": 8395, "length": 73 }, { "offset": 8468, "length": 73 }, { "offset": 8541, "length": 73 }, { "offset": 8614, "length": 73 }, { "offset": 8687, "length": 73 }, { "offset": 8760, "length": 73 }, { "offset": 8833, "length": 73 }, { "offset": 8906, "length": 73 }, { "offset": 8979, "length": 73 }, { "offset": 9052, "length": 73 }, { "offset": 9125, "length": 73 }, { "offset": 9198, "length": 73 }, { "offset": 9271, "length": 73 }, { "offset": 9344, "length": 73 }, { "offset": 9417, "length": 73 }, { "offset": 9490, "length": 73 }, { "offset": 9563, "length": 73 }, { "offset": 9636, "length": 73 }, { "offset": 9709, "length": 73 }, { "offset": 9782, "length": 73 }, { "offset": 9855, "length": 73 }, { "offset": 9928, "length": 73 }, { "offset": 10001, "length": 73 }, { "offset": 10074, "length": 73 }, { "offset": 10147, "length": 73 }, { "offset": 10220, "length": 73 }, { "offset": 10293, "length": 73 }, { "offset": 10366, "length": 73 }, { "offset": 10439, "length": 73 }, { "offset": 10512, "length": 73 }, { "offset": 10585, "length": 73 }, { "offset": 10658, "length": 73 }, { "offset": 10731, "length": 73 }, { "offset": 10804, "length": 73 }, { "offset": 10877, "length": 73 }, { "offset": 10950, "length": 73 }, { "offset": 11023, "length": 73 }, { "offset": 11096, "length": 73 }, { "offset": 11169, "length": 73 }, { "offset": 11242, "length": 73 }, { "offset": 11315, "length": 73 }, { "offset": 11388, "length": 73 }, { "offset": 11461, "length": 73 }, { "offset": 11534, "length": 73 }, { "offset": 11607, "length": 73 } ]
1,000,000	float32	{ "data-1-of-1.bin": 1024000000 }	[{"offset":0,"length":1024},{"offset":1024,"length":1024},{"offset":2048,"length":1024},{"offset":30(...TRUNCATED)
10,968,625	float32	{"data-1-of-8.bin":1073741912,"data-2-of-8.bin":1073742142,"data-3-of-8.bin":1073742011,"data-4-of-8(...TRUNCATED)	[{"offset":0,"length":1032},{"offset":1032,"length":246},{"offset":1278,"length":1056},{"offset":233(...TRUNCATED)