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project-vajra
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dev-staging-meta-llama-meta-llama-3-70b-instruct-h200-nvl

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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 49 new columns ({'time_stats.attn_post_proj.median', 'time_stats.attn_pre_proj.mean', 'n_expanded_embd', 'time_stats.mlp_up_proj.median', 'time_stats.mlp_up_proj.std', 'time_stats.mlp_up_proj.min', 'time_stats.attn_post_proj.std', 'time_stats.input_norm_fused.median', 'time_stats.mlp_down_proj.median', 'time_stats.input_norm_fused.std', 'time_stats.mlp_down_proj.min', 'time_stats.attn_pre_proj.std', 'time_stats.attn_post_proj.max', 'time_stats.mlp_up_proj.max', 'time_stats.post_attention_norm_fused.max', 'time_stats.mlp_down_proj.std', 'time_stats.mlp_act.max', 'time_stats.mlp_act.median', 'time_stats.emb.median', 'time_stats.attn_rope.median', 'time_stats.attn_rope.std', 'time_stats.attn_pre_proj.max', 'time_stats.mlp_up_proj.mean', 'time_stats.attn_rope.max', 'time_stats.mlp_act.std', 'time_stats.post_attention_norm_fused.median', 'time_stats.mlp_act.mean', 'num_tokens', 'time_stats.attn_post_proj.mean', 'time_stats.emb.std', 'time_stats.mlp_act.min', 'time_stats.attn_pre_proj.min', 'time_stats.attn_pre_proj.median', 'time_stats.attn_post_proj.min', 'time_stats.input_norm_fused.max', 'time_stats.input_norm_fused.min', 'vocab_size', 'time_stats.post_attention_norm_fused.mean', 'time_stats.input_norm_fused.mean', 'time_stats.mlp_down_proj.max', 'time_stats.attn_rope.min', 'time_stats.attn_rope.mean', 'time_stats.emb.min', 'time_stats.emb.max', 'n_head', 'time_stats.post_attention_norm_fused.min', 'time_stats.mlp_down_proj.mean', 'time_stats.post_attention_norm_fused.std', 'time_stats.emb.mean'}) and 15 missing columns ({'attention_backend', 'max_model_len', 'prefill_chunk_size', 'time_stats.AttentionForward.max', 'time_stats.AttentionForward.std', 'time_stats.AttentionForward.mean', 'dtype', 'is_prefill', 'causal', 'time_stats.AttentionForward.median', 'batch_size', 'block_size', 'time_stats.AttentionForward.min', 'kv_cache_size', 'n_q_head'}).

This happened while the csv dataset builder was generating data using

/tmp/hf-datasets-cache/medium/datasets/12645371123672-config-parquet-and-info-project-vajra-dev-staging-e1f8aea7/hub/datasets--project-vajra--dev-staging-meta-llama-meta-llama-3-70b-instruct-h200-nvl/snapshots/edcd99ca727d6cabcc7fa7fef6e51a2ed2ccbe6c/mlp.csv.xz

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 "/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 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              time_stats.mlp_up_proj.min: double
              time_stats.mlp_up_proj.max: double
              time_stats.mlp_up_proj.mean: double
              time_stats.mlp_up_proj.median: double
              time_stats.mlp_up_proj.std: double
              time_stats.post_attention_norm_fused.min: double
              time_stats.post_attention_norm_fused.max: double
              time_stats.post_attention_norm_fused.mean: double
              time_stats.post_attention_norm_fused.median: double
              time_stats.post_attention_norm_fused.std: double
              time_stats.attn_post_proj.min: double
              time_stats.attn_post_proj.max: double
              time_stats.attn_post_proj.mean: double
              time_stats.attn_post_proj.median: double
              time_stats.attn_post_proj.std: double
              time_stats.mlp_down_proj.min: double
              time_stats.mlp_down_proj.max: double
              time_stats.mlp_down_proj.mean: double
              time_stats.mlp_down_proj.median: double
              time_stats.mlp_down_proj.std: double
              time_stats.attn_rope.min: double
              time_stats.attn_rope.max: double
              time_stats.attn_rope.mean: double
              time_stats.attn_rope.median: double
              time_stats.attn_rope.std: double
              time_stats.attn_pre_proj.min: double
              time_stats.attn_pre_proj.max: double
              time_stats.attn_pre_proj.mean: double
              time_stats.attn_pre_proj.median: double
              time_stats.attn_pre_proj.std: double
              time_stats.input_norm_fused.min: double
              time_stats.input_norm_fused.max: double
              time_stats.input_norm_fused.mean: double
              time_stats.input_norm_fused.median: double
              time_stats.input_norm_fused.std: double
              time_stats.mlp_act.min: double
              time_stats.mlp_act.max: double
              time_stats.mlp_act.mean: double
              time_stats.mlp_act.median: double
              time_stats.mlp_act.std: double
              time_stats.emb.min: double
              time_stats.emb.max: double
              time_stats.emb.mean: double
              time_stats.emb.median: double
              time_stats.emb.std: double
              n_head: int64
              n_kv_head: int64
              n_embd: int64
              n_expanded_embd: int64
              vocab_size: int64
              num_tokens: int64
              num_tensor_parallel_workers: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 8184
              to
              {'time_stats.AttentionForward.min': Value('float64'), 'time_stats.AttentionForward.max': Value('float64'), 'time_stats.AttentionForward.mean': Value('float64'), 'time_stats.AttentionForward.median': Value('float64'), 'time_stats.AttentionForward.std': Value('float64'), 'n_embd': Value('int64'), 'n_q_head': Value('int64'), 'n_kv_head': Value('int64'), 'block_size': Value('int64'), 'num_tensor_parallel_workers': Value('int64'), 'max_model_len': Value('int64'), 'batch_size': Value('int64'), 'prefill_chunk_size': Value('int64'), 'kv_cache_size': Value('int64'), 'is_prefill': Value('bool'), 'attention_backend': Value('string'), 'dtype': Value('string'), 'causal': Value('bool')}
              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 1339, 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 972, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                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 1833, 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 49 new columns ({'time_stats.attn_post_proj.median', 'time_stats.attn_pre_proj.mean', 'n_expanded_embd', 'time_stats.mlp_up_proj.median', 'time_stats.mlp_up_proj.std', 'time_stats.mlp_up_proj.min', 'time_stats.attn_post_proj.std', 'time_stats.input_norm_fused.median', 'time_stats.mlp_down_proj.median', 'time_stats.input_norm_fused.std', 'time_stats.mlp_down_proj.min', 'time_stats.attn_pre_proj.std', 'time_stats.attn_post_proj.max', 'time_stats.mlp_up_proj.max', 'time_stats.post_attention_norm_fused.max', 'time_stats.mlp_down_proj.std', 'time_stats.mlp_act.max', 'time_stats.mlp_act.median', 'time_stats.emb.median', 'time_stats.attn_rope.median', 'time_stats.attn_rope.std', 'time_stats.attn_pre_proj.max', 'time_stats.mlp_up_proj.mean', 'time_stats.attn_rope.max', 'time_stats.mlp_act.std', 'time_stats.post_attention_norm_fused.median', 'time_stats.mlp_act.mean', 'num_tokens', 'time_stats.attn_post_proj.mean', 'time_stats.emb.std', 'time_stats.mlp_act.min', 'time_stats.attn_pre_proj.min', 'time_stats.attn_pre_proj.median', 'time_stats.attn_post_proj.min', 'time_stats.input_norm_fused.max', 'time_stats.input_norm_fused.min', 'vocab_size', 'time_stats.post_attention_norm_fused.mean', 'time_stats.input_norm_fused.mean', 'time_stats.mlp_down_proj.max', 'time_stats.attn_rope.min', 'time_stats.attn_rope.mean', 'time_stats.emb.min', 'time_stats.emb.max', 'n_head', 'time_stats.post_attention_norm_fused.min', 'time_stats.mlp_down_proj.mean', 'time_stats.post_attention_norm_fused.std', 'time_stats.emb.mean'}) and 15 missing columns ({'attention_backend', 'max_model_len', 'prefill_chunk_size', 'time_stats.AttentionForward.max', 'time_stats.AttentionForward.std', 'time_stats.AttentionForward.mean', 'dtype', 'is_prefill', 'causal', 'time_stats.AttentionForward.median', 'batch_size', 'block_size', 'time_stats.AttentionForward.min', 'kv_cache_size', 'n_q_head'}).
              
              This happened while the csv dataset builder was generating data using
              
              /tmp/hf-datasets-cache/medium/datasets/12645371123672-config-parquet-and-info-project-vajra-dev-staging-e1f8aea7/hub/datasets--project-vajra--dev-staging-meta-llama-meta-llama-3-70b-instruct-h200-nvl/snapshots/edcd99ca727d6cabcc7fa7fef6e51a2ed2ccbe6c/mlp.csv.xz
              
              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.

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time_stats.AttentionForward.mean
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time_stats.AttentionForward.median
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n_embd
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n_q_head
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n_kv_head
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block_size
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num_tensor_parallel_workers
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max_model_len
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batch_size
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prefill_chunk_size
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kv_cache_size
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is_prefill
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flashinfer_auto
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flashinfer_auto
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flashinfer_auto
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flashinfer_auto
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flashinfer_auto
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flashinfer_auto
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flashinfer_auto
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flashinfer_auto
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flashinfer_auto
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flashinfer_auto
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flashinfer_auto
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flashinfer_auto
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flashinfer_auto
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flashinfer_auto
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flashinfer_auto
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flashinfer_auto
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flashinfer_auto
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flashinfer_auto
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flashinfer_auto
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flashinfer_auto
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true
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flashinfer_auto
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32
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flashinfer_auto
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true
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flashinfer_auto
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32
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flashinfer_auto
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true
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16
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flashinfer_auto
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true
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