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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 6 missing columns ({'transformers_version', '_from_model_config', 'bos_token_id', 'eos_token_id', 'pad_token_id', 'use_cache'}).
This happened while the json dataset builder was generating data using
hf://datasets/AlexWortega/test-vi/model.safetensors.index.json (at revision bb9c1c2ba55bf4cf1cb4906f76b767bb616248e0)
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.base_layer.weight: string, lm_head.lora_A.default.weight: string, lm_head.lora_B.default.weight: string, model.embed_tokens.weight: string, model.layers.0.input_layernorm.weight: string, model.layers.0.mlp.down_proj.base_layer.weight: string, model.layers.0.mlp.down_proj.lora_A.default.weight: string, model.layers.0.mlp.down_proj.lora_B.default.weight: string, model.layers.0.mlp.gate_proj.base_layer.weight: string, model.layers.0.mlp.gate_proj.lora_A.default.weight: string, model.layers.0.mlp.gate_proj.lora_B.default.weight: string, model.layers.0.mlp.up_proj.base_layer.weight: string, model.layers.0.mlp.up_proj.lora_A.default.weight: string, model.layers.0.mlp.up_proj.lora_B.default.weight: string, model.layers.0.post_attention_layernorm.weight: string, model.layers.0.self_attn.k_proj.base_layer.weight: string, model.layers.0.self_attn.k_proj.lora_A.default.weight: string, model.layers.0.self_attn.k_proj.lora_B.default.weight: string, model.layers.0.self_attn.o_proj.base_layer.weight: string, model.layers.0.self_attn.o_proj.lora_A.default.weight: string, model.layers.0.self_attn.o_proj.lora_B.default.weight: string, model.layers.0.self_attn.q_proj.base_layer.weight: string, model.layers.0.self_attn.q_proj.lora_A.default.weight: string, model.layers.0.self_attn.q_proj.lora_B.default.weight: string, model.layers.0.self_attn.v_proj.base_layer.weight: string, model.layers.0.self_attn.v_pr
...
ault.weight: string
child 720, model.layers.9.mlp.down_proj.lora_B.default.weight: string
child 721, model.layers.9.mlp.gate_proj.base_layer.weight: string
child 722, model.layers.9.mlp.gate_proj.lora_A.default.weight: string
child 723, model.layers.9.mlp.gate_proj.lora_B.default.weight: string
child 724, model.layers.9.mlp.up_proj.base_layer.weight: string
child 725, model.layers.9.mlp.up_proj.lora_A.default.weight: string
child 726, model.layers.9.mlp.up_proj.lora_B.default.weight: string
child 727, model.layers.9.post_attention_layernorm.weight: string
child 728, model.layers.9.self_attn.k_proj.base_layer.weight: string
child 729, model.layers.9.self_attn.k_proj.lora_A.default.weight: string
child 730, model.layers.9.self_attn.k_proj.lora_B.default.weight: string
child 731, model.layers.9.self_attn.o_proj.base_layer.weight: string
child 732, model.layers.9.self_attn.o_proj.lora_A.default.weight: string
child 733, model.layers.9.self_attn.o_proj.lora_B.default.weight: string
child 734, model.layers.9.self_attn.q_proj.base_layer.weight: string
child 735, model.layers.9.self_attn.q_proj.lora_A.default.weight: string
child 736, model.layers.9.self_attn.q_proj.lora_B.default.weight: string
child 737, model.layers.9.self_attn.v_proj.base_layer.weight: string
child 738, model.layers.9.self_attn.v_proj.lora_A.default.weight: string
child 739, model.layers.9.self_attn.v_proj.lora_B.default.weight: string
child 740, 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), 'use_cache': Value(dtype='bool', 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 1316, in compute_config_parquet_and_info_response
parquet_operations, partial = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 909, in stream_convert_to_parquet
builder._prepare_split(
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 6 missing columns ({'transformers_version', '_from_model_config', 'bos_token_id', 'eos_token_id', 'pad_token_id', 'use_cache'}).
This happened while the json dataset builder was generating data using
hf://datasets/AlexWortega/test-vi/model.safetensors.index.json (at revision bb9c1c2ba55bf4cf1cb4906f76b767bb616248e0)
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? Make sure to review how to configure the dataset viewer, and 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 | use_cache
bool | metadata
dict | weight_map
dict |
|---|---|---|---|---|---|---|---|
true | 1 | 2 | 0 | 4.36.2 | false | null | null |
null | null | null | null | null | null | {
"total_size": 13980816928
} | {
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} |
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