The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 2 new columns ({'metadata', 'weight_map'}) and 5 missing columns ({'bos_token_id', 'eos_token_id', '_from_model_config', 'pad_token_id', 'transformers_version'}).
This happened while the json dataset builder was generating data using
hf://datasets/notzero/modelcombined/pytorch_model.bin.index.json (at revision d91f008f9fc9866718ee62a92edf9e96bf07eee9)
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
metadata: struct<total_size: int64>
child 0, total_size: int64
weight_map: struct<lm_head.weight: string, model.embed_tokens.weight: string, model.layers.0.input_layernorm.weight: string, model.layers.0.mlp.down_proj.weight: string, model.layers.0.mlp.gate_proj.weight: string, model.layers.0.mlp.up_proj.weight: string, model.layers.0.post_attention_layernorm.weight: string, model.layers.0.self_attn.k_proj.weight: string, model.layers.0.self_attn.o_proj.weight: string, model.layers.0.self_attn.q_proj.weight: string, model.layers.0.self_attn.rotary_emb.inv_freq: string, model.layers.0.self_attn.v_proj.weight: string, model.layers.1.input_layernorm.weight: string, model.layers.1.mlp.down_proj.weight: string, model.layers.1.mlp.gate_proj.weight: string, model.layers.1.mlp.up_proj.weight: string, model.layers.1.post_attention_layernorm.weight: string, model.layers.1.self_attn.k_proj.weight: string, model.layers.1.self_attn.o_proj.weight: string, model.layers.1.self_attn.q_proj.weight: string, model.layers.1.self_attn.rotary_emb.inv_freq: string, model.layers.1.self_attn.v_proj.weight: string, model.layers.10.input_layernorm.weight: string, model.layers.10.mlp.down_proj.weight: string, model.layers.10.mlp.gate_proj.weight: string, model.layers.10.mlp.up_proj.weight: string, model.layers.10.post_attention_layernorm.weight: string, model.layers.10.self_attn.k_proj.weight: string, model.layers.10.self_attn.o_proj.weight: string, model.layers.10.self_attn.q_proj.weight: string, model
...
ght: string
child 298, model.layers.7.self_attn.o_proj.weight: string
child 299, model.layers.7.self_attn.q_proj.weight: string
child 300, model.layers.7.self_attn.rotary_emb.inv_freq: string
child 301, model.layers.7.self_attn.v_proj.weight: string
child 302, model.layers.8.input_layernorm.weight: string
child 303, model.layers.8.mlp.down_proj.weight: string
child 304, model.layers.8.mlp.gate_proj.weight: string
child 305, model.layers.8.mlp.up_proj.weight: string
child 306, model.layers.8.post_attention_layernorm.weight: string
child 307, model.layers.8.self_attn.k_proj.weight: string
child 308, model.layers.8.self_attn.o_proj.weight: string
child 309, model.layers.8.self_attn.q_proj.weight: string
child 310, model.layers.8.self_attn.rotary_emb.inv_freq: string
child 311, model.layers.8.self_attn.v_proj.weight: string
child 312, model.layers.9.input_layernorm.weight: string
child 313, model.layers.9.mlp.down_proj.weight: string
child 314, model.layers.9.mlp.gate_proj.weight: string
child 315, model.layers.9.mlp.up_proj.weight: string
child 316, model.layers.9.post_attention_layernorm.weight: string
child 317, model.layers.9.self_attn.k_proj.weight: string
child 318, model.layers.9.self_attn.o_proj.weight: string
child 319, model.layers.9.self_attn.q_proj.weight: string
child 320, model.layers.9.self_attn.rotary_emb.inv_freq: string
child 321, model.layers.9.self_attn.v_proj.weight: string
child 322, model.norm.weight: string
to
{'_from_model_config': Value(dtype='bool', id=None), 'bos_token_id': Value(dtype='int64', id=None), 'eos_token_id': Value(dtype='int64', id=None), 'pad_token_id': Value(dtype='int64', id=None), 'transformers_version': Value(dtype='string', id=None)}
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 1321, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 935, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, 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 2013, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
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 2 new columns ({'metadata', 'weight_map'}) and 5 missing columns ({'bos_token_id', 'eos_token_id', '_from_model_config', 'pad_token_id', 'transformers_version'}).
This happened while the json dataset builder was generating data using
hf://datasets/notzero/modelcombined/pytorch_model.bin.index.json (at revision d91f008f9fc9866718ee62a92edf9e96bf07eee9)
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? Open a discussion for direct support.
_from_model_config
bool | bos_token_id
int64 | eos_token_id
int64 | pad_token_id
int64 | transformers_version
string | metadata
dict | weight_map
dict | bos_token
dict | eos_token
dict | unk_token
dict | add_bos_token
bool | add_eos_token
bool | clean_up_tokenization_spaces
bool | model_max_length
float64 | pad_token
null | sp_model_kwargs
dict | tokenizer_class
string | use_fast
bool |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
true | 1 | 2 | 0 | 4.29.2 | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | {
"total_size": 13476835328
} | {
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