Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
r4-lr5e-05: struct<name: string, lora_r: int64, lora_alpha: int64, learning_rate: double, targets: list<item: st (... 45 chars omitted)
child 0, name: string
child 1, lora_r: int64
child 2, lora_alpha: int64
child 3, learning_rate: double
child 4, targets: list<item: string>
child 0, item: string
child 5, val: struct<nll: double, ppl: double>
child 0, nll: double
child 1, ppl: double
r4-lr0.0001: struct<name: string, lora_r: int64, lora_alpha: int64, learning_rate: double, targets: list<item: st (... 45 chars omitted)
child 0, name: string
child 1, lora_r: int64
child 2, lora_alpha: int64
child 3, learning_rate: double
child 4, targets: list<item: string>
child 0, item: string
child 5, val: struct<nll: double, ppl: double>
child 0, nll: double
child 1, ppl: double
r4-lr0.0002: struct<name: string, lora_r: int64, lora_alpha: int64, learning_rate: double, targets: list<item: st (... 45 chars omitted)
child 0, name: string
child 1, lora_r: int64
child 2, lora_alpha: int64
child 3, learning_rate: double
child 4, targets: list<item: string>
child 0, item: string
child 5, val: struct<nll: double, ppl: double>
child 0, nll: double
child 1, ppl: double
r8-lr5e-05: struct<name: string, lora_r: int64, lora_alpha: int64, learning_rate: double, targets: list<item: st (... 45 chars omitted)
child 0, name: string
child 1, lora_r: int64
child 2, lora_alpha: int64
child 3, learning_rate: double
...
rate: double, targets: list<item: st (... 45 chars omitted)
child 0, name: string
child 1, lora_r: int64
child 2, lora_alpha: int64
child 3, learning_rate: double
child 4, targets: list<item: string>
child 0, item: string
child 5, val: struct<nll: double, ppl: double>
child 0, nll: double
child 1, ppl: double
dpo: struct<ref: string, runs: list<item: struct<lr: double, beta: double, eval_loss: double, reward_marg (... 30 chars omitted)
child 0, ref: string
child 1, runs: list<item: struct<lr: double, beta: double, eval_loss: double, reward_margin: double, ppl_val: doubl (... 3 chars omitted)
child 0, item: struct<lr: double, beta: double, eval_loss: double, reward_margin: double, ppl_val: double>
child 0, lr: double
child 1, beta: double
child 2, eval_loss: double
child 3, reward_margin: double
child 4, ppl_val: double
kto: struct<ref: string, runs: list<item: struct<lr: double, beta: double, eval_loss: double, reward_marg (... 30 chars omitted)
child 0, ref: string
child 1, runs: list<item: struct<lr: double, beta: double, eval_loss: double, reward_margin: double, ppl_val: doubl (... 3 chars omitted)
child 0, item: struct<lr: double, beta: double, eval_loss: double, reward_margin: double, ppl_val: double>
child 0, lr: double
child 1, beta: double
child 2, eval_loss: double
child 3, reward_margin: double
child 4, ppl_val: double
to
{'dpo': {'ref': Value('string'), 'runs': List({'lr': Value('float64'), 'beta': Value('float64'), 'eval_loss': Value('float64'), 'reward_margin': Value('float64'), 'ppl_val': Value('float64')})}, 'kto': {'ref': Value('string'), 'runs': List({'lr': Value('float64'), 'beta': Value('float64'), 'eval_loss': Value('float64'), 'reward_margin': Value('float64'), 'ppl_val': Value('float64')})}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
r4-lr5e-05: struct<name: string, lora_r: int64, lora_alpha: int64, learning_rate: double, targets: list<item: st (... 45 chars omitted)
child 0, name: string
child 1, lora_r: int64
child 2, lora_alpha: int64
child 3, learning_rate: double
child 4, targets: list<item: string>
child 0, item: string
child 5, val: struct<nll: double, ppl: double>
child 0, nll: double
child 1, ppl: double
r4-lr0.0001: struct<name: string, lora_r: int64, lora_alpha: int64, learning_rate: double, targets: list<item: st (... 45 chars omitted)
child 0, name: string
child 1, lora_r: int64
child 2, lora_alpha: int64
child 3, learning_rate: double
child 4, targets: list<item: string>
child 0, item: string
child 5, val: struct<nll: double, ppl: double>
child 0, nll: double
child 1, ppl: double
r4-lr0.0002: struct<name: string, lora_r: int64, lora_alpha: int64, learning_rate: double, targets: list<item: st (... 45 chars omitted)
child 0, name: string
child 1, lora_r: int64
child 2, lora_alpha: int64
child 3, learning_rate: double
child 4, targets: list<item: string>
child 0, item: string
child 5, val: struct<nll: double, ppl: double>
child 0, nll: double
child 1, ppl: double
r8-lr5e-05: struct<name: string, lora_r: int64, lora_alpha: int64, learning_rate: double, targets: list<item: st (... 45 chars omitted)
child 0, name: string
child 1, lora_r: int64
child 2, lora_alpha: int64
child 3, learning_rate: double
...
rate: double, targets: list<item: st (... 45 chars omitted)
child 0, name: string
child 1, lora_r: int64
child 2, lora_alpha: int64
child 3, learning_rate: double
child 4, targets: list<item: string>
child 0, item: string
child 5, val: struct<nll: double, ppl: double>
child 0, nll: double
child 1, ppl: double
dpo: struct<ref: string, runs: list<item: struct<lr: double, beta: double, eval_loss: double, reward_marg (... 30 chars omitted)
child 0, ref: string
child 1, runs: list<item: struct<lr: double, beta: double, eval_loss: double, reward_margin: double, ppl_val: doubl (... 3 chars omitted)
child 0, item: struct<lr: double, beta: double, eval_loss: double, reward_margin: double, ppl_val: double>
child 0, lr: double
child 1, beta: double
child 2, eval_loss: double
child 3, reward_margin: double
child 4, ppl_val: double
kto: struct<ref: string, runs: list<item: struct<lr: double, beta: double, eval_loss: double, reward_marg (... 30 chars omitted)
child 0, ref: string
child 1, runs: list<item: struct<lr: double, beta: double, eval_loss: double, reward_margin: double, ppl_val: doubl (... 3 chars omitted)
child 0, item: struct<lr: double, beta: double, eval_loss: double, reward_margin: double, ppl_val: double>
child 0, lr: double
child 1, beta: double
child 2, eval_loss: double
child 3, reward_margin: double
child 4, ppl_val: double
to
{'dpo': {'ref': Value('string'), 'runs': List({'lr': Value('float64'), 'beta': Value('float64'), 'eval_loss': Value('float64'), 'reward_margin': Value('float64'), 'ppl_val': Value('float64')})}, 'kto': {'ref': Value('string'), 'runs': List({'lr': Value('float64'), 'beta': Value('float64'), 'eval_loss': Value('float64'), 'reward_margin': Value('float64'), 'ppl_val': Value('float64')})}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
No dataset card yet
- Downloads last month
- -