Datasets:

---

wangyao36

/

sagellm-benchmark-results

like 0

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 12 new columns ({'kv_cache_config', 'versions', 'workload', 'config_type', 'cluster', 'entry_id', 'environment', 'model', 'hardware', 'metrics', 'sagellm_version', 'metadata'})

This happened while the json dataset builder was generating data using

hf://datasets/wangyao36/sagellm-benchmark-results/leaderboard_single.json (at revision 74a5d75fbc56556cfdf67e2915222f879319e19f), [/tmp/hf-datasets-cache/medium/datasets/13305656036013-config-parquet-and-info-wangyao36-sagellm-benchma-386b2a5f/hub/datasets--wangyao36--sagellm-benchmark-results/snapshots/74a5d75fbc56556cfdf67e2915222f879319e19f/leaderboard_multi.json (origin=hf://datasets/wangyao36/sagellm-benchmark-results@74a5d75fbc56556cfdf67e2915222f879319e19f/leaderboard_multi.json), /tmp/hf-datasets-cache/medium/datasets/13305656036013-config-parquet-and-info-wangyao36-sagellm-benchma-386b2a5f/hub/datasets--wangyao36--sagellm-benchmark-results/snapshots/74a5d75fbc56556cfdf67e2915222f879319e19f/leaderboard_single.json (origin=hf://datasets/wangyao36/sagellm-benchmark-results@74a5d75fbc56556cfdf67e2915222f879319e19f/leaderboard_single.json)]

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 1887, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 674, 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
              entry_id: string
              sagellm_version: string
              config_type: string
              hardware: struct<chip_count: int64, chip_model: string, chips_per_node: int64, interconnect: string, intra_nod (... 92 chars omitted)
                child 0, chip_count: int64
                child 1, chip_model: string
                child 2, chips_per_node: int64
                child 3, interconnect: string
                child 4, intra_node_interconnect: string
                child 5, memory_per_chip_gb: double
                child 6, total_memory_gb: double
                child 7, vendor: string
              model: struct<name: string, parameters: string, precision: string, quantization: string>
                child 0, name: string
                child 1, parameters: string
                child 2, precision: string
                child 3, quantization: string
              workload: struct<batch_size: int64, concurrent_requests: int64, dataset: string, input_length: int64, output_l (... 13 chars omitted)
                child 0, batch_size: int64
                child 1, concurrent_requests: int64
                child 2, dataset: string
                child 3, input_length: int64
                child 4, output_length: int64
              metrics: struct<error_rate: double, evict_count: int64, evict_ms: double, kv_used_bytes: int64, kv_used_token (... 152 chars omitted)
                child 0, error_rate: double
                child 1, evict_count: int64
                child 2, evict_ms: double
                child 3, kv_used_bytes: int64
                child 4, kv_used_tokens: int64
                child 5, peak_mem_mb: int64
                child 6, prefix_hit_rate: double
                child 7, spec_accept_rate: null
                child 8, tbt_ms: double
                child 9, throughput_tps: double
                child 10, tpot_ms: double
                child 11, ttft_ms: double
              cluster: null
              versions: struct<backend: string, benchmark: string, comm: string, compression: string, control_plane: string, (... 67 chars omitted)
                child 0, backend: string
                child 1, benchmark: string
                child 2, comm: string
                child 3, compression: string
                child 4, control_plane: string
                child 5, core: string
                child 6, gateway: string
                child 7, kv_cache: string
                child 8, protocol: string
              environment: struct<cann_version: null, cuda_version: string, driver_version: string, os: string, python_version: (... 33 chars omitted)
                child 0, cann_version: null
                child 1, cuda_version: string
                child 2, driver_version: string
                child 3, os: string
                child 4, python_version: string
                child 5, pytorch_version: string
              kv_cache_config: struct<budget_tokens: int64, enabled: bool, eviction_policy: string, prefix_cache_enabled: bool>
                child 0, budget_tokens: int64
                child 1, enabled: bool
                child 2, eviction_policy: string
                child 3, prefix_cache_enabled: bool
              metadata: struct<changelog_url: string, data_source: string, git_commit: null, notes: string, release_date: st (... 88 chars omitted)
                child 0, changelog_url: string
                child 1, data_source: string
                child 2, git_commit: null
                child 3, notes: string
                child 4, release_date: string
                child 5, reproducible_cmd: string
                child 6, submitted_at: string
                child 7, submitter: string
                child 8, verified: bool
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1521
              to
              {}
              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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, 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 1889, 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 12 new columns ({'kv_cache_config', 'versions', 'workload', 'config_type', 'cluster', 'entry_id', 'environment', 'model', 'hardware', 'metrics', 'sagellm_version', 'metadata'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/wangyao36/sagellm-benchmark-results/leaderboard_single.json (at revision 74a5d75fbc56556cfdf67e2915222f879319e19f), [/tmp/hf-datasets-cache/medium/datasets/13305656036013-config-parquet-and-info-wangyao36-sagellm-benchma-386b2a5f/hub/datasets--wangyao36--sagellm-benchmark-results/snapshots/74a5d75fbc56556cfdf67e2915222f879319e19f/leaderboard_multi.json (origin=hf://datasets/wangyao36/sagellm-benchmark-results@74a5d75fbc56556cfdf67e2915222f879319e19f/leaderboard_multi.json), /tmp/hf-datasets-cache/medium/datasets/13305656036013-config-parquet-and-info-wangyao36-sagellm-benchma-386b2a5f/hub/datasets--wangyao36--sagellm-benchmark-results/snapshots/74a5d75fbc56556cfdf67e2915222f879319e19f/leaderboard_single.json (origin=hf://datasets/wangyao36/sagellm-benchmark-results@74a5d75fbc56556cfdf67e2915222f879319e19f/leaderboard_single.json)]
              
              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)