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
Error code:   DatasetGenerationError
Exception:    ArrowNotImplementedError
Message:      Cannot write struct type 'hashes' with no child field to Parquet. Consider adding a dummy child field.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 712, in write_table
                  self._build_writer(inferred_schema=pa_table.schema)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 757, in _build_writer
                  self.pa_writer = pq.ParquetWriter(
                                   ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
                  self.writer = _parquet.ParquetWriter(
                                ^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'hashes' with no child field to Parquet. Consider adding a dummy child field.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1847, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 731, in finalize
                  self._build_writer(self.schema)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 757, in _build_writer
                  self.pa_writer = pq.ParquetWriter(
                                   ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
                  self.writer = _parquet.ParquetWriter(
                                ^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'hashes' with no child field to Parquet. Consider adding a dummy child field.
              
              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 1334, 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 911, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1858, 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.

version
int64
shards
dict
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00000.mds", "bytes": 67106545, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00001.mds", "bytes": 67105663, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00002.mds", "bytes": 67105908, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00003.mds", "bytes": 67107839, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00004.mds", "bytes": 67108345, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00005.mds", "bytes": 67104944, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00006.mds", "bytes": 67108043, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00007.mds", "bytes": 67108381, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00008.mds", "bytes": 67107190, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00009.mds", "bytes": 67108279, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00010.mds", "bytes": 67107183, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00011.mds", "bytes": 67108246, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00012.mds", "bytes": 67108857, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00013.mds", "bytes": 67107995, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00014.mds", "bytes": 67106515, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00015.mds", "bytes": 67105373, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00016.mds", "bytes": 67106214, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00017.mds", "bytes": 67106966, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00018.mds", "bytes": 67105349, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00019.mds", "bytes": 67108628, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00020.mds", "bytes": 67104397, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00021.mds", "bytes": 67107252, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00022.mds", "bytes": 67106507, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00023.mds", "bytes": 67108833, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00024.mds", "bytes": 67107833, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00025.mds", "bytes": 67105493, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00026.mds", "bytes": 67102260, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00027.mds", "bytes": 67108394, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00028.mds", "bytes": 67104273, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00029.mds", "bytes": 67108265, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00030.mds", "bytes": 67108258, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00031.mds", "bytes": 67107975, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00032.mds", "bytes": 67107582, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00033.mds", "bytes": 67107435, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00034.mds", "bytes": 67108280, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00035.mds", "bytes": 67106812, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00036.mds", "bytes": 67108176, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00037.mds", "bytes": 38885382, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00038.mds", "bytes": 67107617, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00039.mds", "bytes": 67107055, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00040.mds", "bytes": 67107847, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00041.mds", "bytes": 67105474, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00042.mds", "bytes": 67108355, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00043.mds", "bytes": 67106721, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00044.mds", "bytes": 67106815, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00045.mds", "bytes": 67106232, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00046.mds", "bytes": 67107811, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00047.mds", "bytes": 67103499, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00048.mds", "bytes": 67108518, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00049.mds", "bytes": 67108794, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00050.mds", "bytes": 67107180, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00051.mds", "bytes": 67103974, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00052.mds", "bytes": 67108384, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00053.mds", "bytes": 67107014, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00054.mds", "bytes": 67107683, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00055.mds", "bytes": 67106142, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00056.mds", "bytes": 67108274, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00057.mds", "bytes": 67103530, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00058.mds", "bytes": 67106334, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00059.mds", "bytes": 67105034, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00060.mds", "bytes": 67107713, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00061.mds", "bytes": 67107146, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00062.mds", "bytes": 67108532, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00063.mds", "bytes": 67106248, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00064.mds", "bytes": 67106232, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00065.mds", "bytes": 67107239, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00066.mds", "bytes": 67107953, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00067.mds", "bytes": 67107839, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00068.mds", "bytes": 67108781, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00069.mds", "bytes": 67105764, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00070.mds", "bytes": 67102966, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00071.mds", "bytes": 67105686, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00072.mds", "bytes": 67107466, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00073.mds", "bytes": 67107244, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00074.mds", "bytes": 67106183, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00075.mds", "bytes": 67107006, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00076.mds", "bytes": 67104583, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00077.mds", "bytes": 67107136, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00078.mds", "bytes": 67106234, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00079.mds", "bytes": 67106841, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00080.mds", "bytes": 67106310, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00081.mds", "bytes": 67106160, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00082.mds", "bytes": 67107980, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00083.mds", "bytes": 67101722, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00084.mds", "bytes": 67103613, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00085.mds", "bytes": 67108311, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00086.mds", "bytes": 67107287, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00087.mds", "bytes": 67108744, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00088.mds", "bytes": 67107408, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00089.mds", "bytes": 67105912, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00090.mds", "bytes": 67103758, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00091.mds", "bytes": 67104453, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00092.mds", "bytes": 67106238, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00093.mds", "bytes": 67108729, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00094.mds", "bytes": 67104104, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00095.mds", "bytes": 67108731, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00096.mds", "bytes": 67105101, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00097.mds", "bytes": 67106585, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00098.mds", "bytes": 67107908, "...
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00099.mds", "bytes": 67106197, "...
End of preview.

No dataset card yet

Downloads last month
104