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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 3 new columns ({'retrieved_memories', 'response', 'messages'}) and 1 missing columns ({'metrics'}).

This happened while the json dataset builder was generating data using

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'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-8__wo_memory/raw/single/Locomo-8/wo_memory/start_at_2026-07-16-16-14-22/evaluate_details.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-8__wo_memory/raw/single/Locomo-8/wo_memory/start_at_2026-07-16-16-14-22/predict.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-8__wo_memory/raw/single/Locomo-8/wo_memory/start_at_2026-07-16-16-14-22/run_config.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-8__wo_memory/raw/single/Locomo-8/wo_memory/start_at_2026-07-16-16-14-22/summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-8__wo_memory/run_summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-8__wo_memory/timing.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__a_mem/raw/single/Locomo-9/a_mem/start_at_2026-07-16-16-25-37/evaluate_details.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__a_mem/raw/single/Locomo-9/a_mem/start_at_2026-07-16-16-25-37/predict.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__a_mem/raw/single/Locomo-9/a_mem/start_at_2026-07-16-16-25-37/run_config.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__a_mem/raw/single/Locomo-9/a_mem/start_at_2026-07-16-16-25-37/summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__a_mem/run_summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__a_mem/timing.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__bm25_dialog/raw/single/Locomo-9/bm25_dialog/start_at_2026-07-16-16-18-05/evaluate_details.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__bm25_dialog/raw/single/Locomo-9/bm25_dialog/start_at_2026-07-16-16-18-05/predict.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__bm25_dialog/raw/single/Locomo-9/bm25_dialog/start_at_2026-07-16-16-18-05/run_config.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__bm25_dialog/raw/single/Locomo-9/bm25_dialog/start_at_2026-07-16-16-18-05/summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__bm25_dialog/run_summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__bm25_dialog/timing.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__embedder_dialog/raw/single/Locomo-9/embedder_dialog/start_at_2026-07-16-16-21-42/evaluate_details.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__embedder_dialog/raw/single/Locomo-9/embedder_dialog/start_at_2026-07-16-16-21-42/predict.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__embedder_dialog/raw/single/Locomo-9/embedder_dialog/start_at_2026-07-16-16-21-42/run_config.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__embedder_dialog/raw/single/Locomo-9/embedder_dialog/start_at_2026-07-16-16-21-42/summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__embedder_dialog/run_summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__embedder_dialog/timing.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__memoryos/raw/single/Locomo-9/memoryos/start_at_2026-07-16-18-58-42/evaluate_details.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__memoryos/raw/single/Locomo-9/memoryos/start_at_2026-07-16-18-58-42/predict.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__memoryos/raw/single/Locomo-9/memoryos/start_at_2026-07-16-18-58-42/run_config.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__memoryos/raw/single/Locomo-9/memoryos/start_at_2026-07-16-18-58-42/summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__memoryos/run_summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__memoryos/timing.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__wo_memory/raw/single/Locomo-9/wo_memory/start_at_2026-07-16-16-14-36/evaluate_details.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__wo_memory/raw/single/Locomo-9/wo_memory/start_at_2026-07-16-16-14-36/predict.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__wo_memory/raw/single/Locomo-9/wo_memory/start_at_2026-07-16-16-14-36/run_config.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__wo_memory/raw/single/Locomo-9/wo_memory/start_at_2026-07-16-16-14-36/summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__wo_memory/run_summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__wo_memory/timing.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/job_meta.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_bm25_dialog/raw/single/NFCats/bm25_dialog/start_at_2026-07-16-21-59-26/evaluate_details.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_bm25_dialog/raw/single/NFCats/bm25_dialog/start_at_2026-07-16-21-59-26/predict.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_bm25_dialog/raw/single/NFCats/bm25_dialog/start_at_2026-07-16-21-59-26/run_config.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_bm25_dialog/raw/single/NFCats/bm25_dialog/start_at_2026-07-16-21-59-26/summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_bm25_dialog/run_summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_bm25_dialog/timing.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_wo_memory/raw/single/NFCats/wo_memory/start_at_2026-07-16-21-59-00/evaluate_details.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_wo_memory/raw/single/NFCats/wo_memory/start_at_2026-07-16-21-59-00/predict.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_wo_memory/raw/single/NFCats/wo_memory/start_at_2026-07-16-21-59-00/run_config.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_wo_memory/raw/single/NFCats/wo_memory/start_at_2026-07-16-21-59-00/summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_wo_memory/run_summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_wo_memory/timing.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/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              test_idx: int64
              messages: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              response: string
              retrieved_memories: list<item: null>
                child 0, item: null
              dataset: string
              to
              {'test_idx': Value('int64'), 'metrics': {'rougel': Value('float64'), 'golden_answer': Value('string')}, 'dataset': Value('string')}
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 3 new columns ({'retrieved_memories', 'response', 'messages'}) and 1 missing columns ({'metrics'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results/outputs/jobm1_20260716_1606/LexEval-Summarization__a_mem/raw/single/LexEval-Summarization/a_mem/start_at_2026-07-16-16-49-45/predict.json (at revision 0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8), ['hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm1_20260716_1606/LexEval-Summarization__a_mem/raw/single/LexEval-Summarization/a_mem/start_at_2026-07-16-16-49-45/evaluate_details.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm1_20260716_1606/LexEval-Summarization__a_mem/raw/single/LexEval-Summarization/a_mem/start_at_2026-07-16-16-49-45/predict.json', 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'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-8__wo_memory/run_summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-8__wo_memory/timing.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__a_mem/raw/single/Locomo-9/a_mem/start_at_2026-07-16-16-25-37/evaluate_details.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__a_mem/raw/single/Locomo-9/a_mem/start_at_2026-07-16-16-25-37/predict.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__a_mem/raw/single/Locomo-9/a_mem/start_at_2026-07-16-16-25-37/run_config.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__a_mem/raw/single/Locomo-9/a_mem/start_at_2026-07-16-16-25-37/summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__a_mem/run_summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__a_mem/timing.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__bm25_dialog/raw/single/Locomo-9/bm25_dialog/start_at_2026-07-16-16-18-05/evaluate_details.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__bm25_dialog/raw/single/Locomo-9/bm25_dialog/start_at_2026-07-16-16-18-05/predict.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__bm25_dialog/raw/single/Locomo-9/bm25_dialog/start_at_2026-07-16-16-18-05/run_config.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__bm25_dialog/raw/single/Locomo-9/bm25_dialog/start_at_2026-07-16-16-18-05/summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__bm25_dialog/run_summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__bm25_dialog/timing.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__embedder_dialog/raw/single/Locomo-9/embedder_dialog/start_at_2026-07-16-16-21-42/evaluate_details.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__embedder_dialog/raw/single/Locomo-9/embedder_dialog/start_at_2026-07-16-16-21-42/predict.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__embedder_dialog/raw/single/Locomo-9/embedder_dialog/start_at_2026-07-16-16-21-42/run_config.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__embedder_dialog/raw/single/Locomo-9/embedder_dialog/start_at_2026-07-16-16-21-42/summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__embedder_dialog/run_summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__embedder_dialog/timing.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__memoryos/raw/single/Locomo-9/memoryos/start_at_2026-07-16-18-58-42/evaluate_details.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__memoryos/raw/single/Locomo-9/memoryos/start_at_2026-07-16-18-58-42/predict.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__memoryos/raw/single/Locomo-9/memoryos/start_at_2026-07-16-18-58-42/run_config.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__memoryos/raw/single/Locomo-9/memoryos/start_at_2026-07-16-18-58-42/summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__memoryos/run_summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__memoryos/timing.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__wo_memory/raw/single/Locomo-9/wo_memory/start_at_2026-07-16-16-14-36/evaluate_details.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__wo_memory/raw/single/Locomo-9/wo_memory/start_at_2026-07-16-16-14-36/predict.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__wo_memory/raw/single/Locomo-9/wo_memory/start_at_2026-07-16-16-14-36/run_config.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__wo_memory/raw/single/Locomo-9/wo_memory/start_at_2026-07-16-16-14-36/summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__wo_memory/run_summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/Locomo-9__wo_memory/timing.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/jobm2_20260716_1606/job_meta.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_bm25_dialog/raw/single/NFCats/bm25_dialog/start_at_2026-07-16-21-59-26/evaluate_details.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_bm25_dialog/raw/single/NFCats/bm25_dialog/start_at_2026-07-16-21-59-26/predict.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_bm25_dialog/raw/single/NFCats/bm25_dialog/start_at_2026-07-16-21-59-26/run_config.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_bm25_dialog/raw/single/NFCats/bm25_dialog/start_at_2026-07-16-21-59-26/summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_bm25_dialog/run_summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_bm25_dialog/timing.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_wo_memory/raw/single/NFCats/wo_memory/start_at_2026-07-16-21-59-00/evaluate_details.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_wo_memory/raw/single/NFCats/wo_memory/start_at_2026-07-16-21-59-00/predict.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_wo_memory/raw/single/NFCats/wo_memory/start_at_2026-07-16-21-59-00/run_config.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_wo_memory/raw/single/NFCats/wo_memory/start_at_2026-07-16-21-59-00/summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_wo_memory/run_summary.json', 'hf://datasets/YMRohit/icml2026-64918-memorybench-repro-results@0a4d4cb61b7631d1febdefdfbe6eec6baef9ffd8/outputs/smoke_offpolicy/NFCats_wo_memory/timing.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)

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test_idx
int64
metrics
dict
dataset
string
48
{ "rougel": 0.170940167, "golden_answer": "云南亿万富翁被吸毒者杀害案”最新进展为受害者妻子马女士1月28日拿到该案二审裁定书。云南高院二审裁定撤销一审判决,发回云南省文山州中院重新审判。" }
LexEval-Summarization
70
{ "rougel": 0.30065359, "golden_answer": "8月30日,中国银河披露收到北京二中院应诉通知书,称前员工李天阵以公司无故删除其名下客户等为由向其索赔近8000万元,该员工自2014年起,先后4次就相同事由提起诉讼,本次为第5次。事实上,除了与中国银河的纠纷,李天阵还起诉过中国证券业协会,还就针对自身的刑事判决向高等法院提起过申诉,等等。" }
LexEval-Summarization
114
{ "rougel": 0.3999999956, "golden_answer": "滨州云联惠领导被公安局关押4个多月,终于在2018年9月19日,山东省滨州市滨城区法院对云联惠第一注册人唐文娟进行了第三次庭审。庭审中,唐文娟的两个辩护律师为其进行了免费的无罪辩护。" }
LexEval-Summarization
117
{ "rougel": 0.2015503845, "golden_answer": "贵州的龙荣霖先生称由于年利率“躲猫猫”导致他遭遇贵州省修文县农商银行会展城支行的“虚假诉讼诈骗”的困境,希望媒体主持公道。" }
LexEval-Summarization
131
{ "rougel": 0.3567567518, "golden_answer": "钱端诉招行的合同纠纷案原定于3月27日在广州市天河法院开庭审理,已延期开庭,原因是要与招行诉钱端的案件合并审理。庭审延期,但招行的态度似有所转变。一是在地方金融局的协调会上,招行首次明确表态将“想尽办法尝试解决”;二是招行内部负责钱端事件的处置小组成员顾保华近日多次表态,将于一个月内给投资人明确的“点头即拿钱”处置方案。据了解,钱端诉招行的合同纠纷案在广州天河法院立案,招行诉钱端案件则在深圳立案。法院知情人士表示,因为管辖权问题,深圳方面招行诉钱端的案子合并至天河法院审理,但因为案件刚过来不久,并且两个案子都是针对同一合同,所以合议庭还需...
LexEval-Summarization
142
{ "rougel": 0.1818181784, "golden_answer": "2016年11月底,山东省开展“一村(社区)一法律顾问”工作,省司法厅厅长却自曝,存在一名律师同时担任30个村法律顾问的情况。" }
LexEval-Summarization
146
{ "rougel": 0.348484845, "golden_answer": "重庆泰正(集团)有限公司破产处置。将重庆市南岸区南滨路79号1栋(SOHO国际公寓A座)共214套房屋进行公开拍卖,起拍价为1.6927亿元。" }
LexEval-Summarization
161
{ "rougel": 0.3653846114, "golden_answer": "最近,温州中院对吴某健盗窃茅台酒一案作出二审裁定,法院认定其构成盗窃罪,判处有期徒刑4年,处罚金1万元,退赔违法所得141600元。" }
LexEval-Summarization
165
{ "rougel": 0.1833333298, "golden_answer": "25日08时,扬子晚报网报道,近日,苏州常熟海虞小花村的一个工地引发了当地人的关注。工地上连续被挖出了不明年代的炮弹。" }
LexEval-Summarization
169
{ "rougel": 0.3804347782, "golden_answer": "21日,记者从山东省人民检察院官方微信获悉,淄博市淄川区人民检察院提起公诉的王冬涉嫌贪污罪、受贿罪一案近日在淄博市淄川区人民法院刑事审判庭一审开庭审理。该案系淄博市淄川区监察委员会立案调查的首例职务犯罪留置案件,社会广泛关注,群众反映强烈。淄博市淄川区人民检察院经审查依法作出逮捕决定并提起公诉,检察官冯凯、检察官助理王烁出庭支持公诉。庭审结束后法庭宣布休庭,择期宣判。" }
LexEval-Summarization
175
{ "rougel": 0.1387283187, "golden_answer": "3月18日消息,中国裁判文书网于3月15日公开了雅诗兰黛起诉网易考拉的民事裁定书(海淀法院)。裁定书显示,雅诗兰黛要求网易考拉立即停止实施侵害原告第834258号“M·A·C”商标权的行为,包括但不限于停止销售侵犯涉案商标的产品,披露侵权产品的供应链或来源;要求网易考拉立即销毁侵权产品;网易考拉连续三十日在人民网、凤凰网、腾讯网、新浪网、财经网等网站刊登道歉声明,以消除因侵犯注册商标专用权给原告造成的不利影响;要求网易考拉连带赔偿因侵犯注册商标专用权给原告造成的经济损失100万元,以及原告为调查和制止侵权行为所产生的合理费用20万元。" ...
LexEval-Summarization
203
{ "rougel": 0.2085889523, "golden_answer": "男子举报企业污染,被判\"损害商业信誉罪\"驻马店市遂平县第一网络媒体!4月26日,张文奇举报过的广源纸业正在生产。7月9日上午9:30,张文奇涉嫌损害商业信誉案在河南省焦作市武陟县人民法院一审宣判:张文奇犯损害商业信誉罪,判处有期徒刑一年零五个月,并处罚金1万元。他在一份举报材料中写道,“他们投产后有毒废气直排、废水地下渗透、废渣在广源厂区深埋。”" }
LexEval-Summarization
228
{ "rougel": 0.2993197239, "golden_answer": "益阳市中院11月25日对夏顺安等11名涉嫌犯组织、领导、参加黑社会性质组织等罪案的被告人进行了一审宣判。案件的依法办理达到了法律效果、政治效果和社会效果的统一。也有助于最大限度挤压黑恶势力的生长空间。" }
LexEval-Summarization
257
{ "rougel": 0.2307692278, "golden_answer": "据悉,红牛维他命饮料有限公司与天丝医药保健有限公司权属纠纷案于10月10日在最高人民法院第四法庭审理。" }
LexEval-Summarization
269
{ "rougel": 0.2777777742, "golden_answer": "近日,西安市规划局长安分局局长李三胜涉嫌受贿犯罪被双开,并被移送检察机关依法审查起诉。" }
LexEval-Summarization
276
{ "rougel": 0.2622950775, "golden_answer": "8月底,福建省福州市中级人民法院对轰动一时的“吴谢宇弑母案”进行了一审宣判,以被告人吴谢宇犯故意杀人罪、诈骗罪、买卖身份证件罪数罪并罚判处其死刑,剥夺其政治权利终身,并处罚金人民币103000元。值得注意的是,吴谢宇在三年潜逃内曾携带多张购买的身份证一直在国内活动,这背后的个人信息贩卖问题再次引起了广泛关注。" }
LexEval-Summarization
284
{ "rougel": 0.2777777736, "golden_answer": "国家\"千人计划\"海外特聘专家、“无固定取还点的自行车租赁运营系统及其方法”专利持有人顾泰来于4月18日向南京市中院提起诉讼,诉永安行侵害其发明专利权。法院已受理立案。" }
LexEval-Summarization
305
{ "rougel": 0.0731707274, "golden_answer": "长清区归德街道纪工委每年定期组织机关干部、村干部到济南监狱进行参观学习,进一步规范加强基层党组织建设和基层组织生活。此外,通过点村道姓撰写《廉政教育警示录》,以身边事警示教育身边人,引导党员干部牢固树立宗旨意识和群众观念,实实在在为民办事、为民解忧、为民谋利。" }
LexEval-Summarization
323
{ "rougel": 0.2762430893, "golden_answer": "8月12日一辆黑色的小轿车突然驶入马路上,此时,两名男孩结伴走在一边,其中一人,瞬间就被该小车撞倒,随后,车轮从男孩身上压过,而涉事小车继续往前开,左摇右摆,连撞多辆路边的小车,大约行驶了十多米后,才停下来,而此时,其身后,被撞倒的男孩躺在地上,一动不动关。目前,肇事司机已被当地警方控制,事故原因有待进一步调查。" }
LexEval-Summarization
352
{ "rougel": 0.201342277, "golden_answer": "昨日,裁判文书网公布了上海携程商务有限公司与四川省中国国际旅行社有限责任公司卷入的一起生命权纠纷案的一审民事判决书((2019)沪0105民初16692号)。上海市长宁区人民法院做出如下判决:一、被告四川国旅公司应赔付原告共计125.38万元,扣除已赔付的32.50万元,余款92.88万元,于本判决生效之日起十日内履行完毕;二、被告携程商务公司应赔付原告共计41.79万元,于本判决生效之日起十日内履行完毕;三、驳回原告其余诉讼请求。" }
LexEval-Summarization
394
{ "rougel": 0.1522842596, "golden_answer": "3·15前夕,一篇公众号文章称,多名奥迪车主购买有异味的奥迪车后,患白血病去世。车主张北向北京朝阳区法院奥运村法庭起诉但被以诉讼请求不明确为由驳回起诉。张北质疑欲向北京三中院上诉。奥迪方面表示,可对车辆进行质量检测,但车主患癌与奥迪车无必然联系。目前奥迪并未公开发声。" }
LexEval-Summarization
470
{ "rougel": 0.2456140304, "golden_answer": "最近,福州中院的一个复议裁定,在朋友圈大量转发。该案属于专属管辖,XX建设公司仍然提出管辖权异议,管辖权异议被驳回之后,公司又针对裁定继续上诉。2018年11月,闽侯法院认为,XX建设公司滥用诉权,属于恶意妨碍民事诉讼,决定对其罚款30万元。XX建设公司随后提出复议申请。近日,福州中院驳回XX建设公司的复议申请,维持原决定。目前,此案复议决定书已送达至XX建设公司,若该公司不能按期交纳罚款,闽侯法院将依法强制执行。" }
LexEval-Summarization
511
{ "rougel": 0.2666666621, "golden_answer": "珠海嘉禾特大套路拍主谋徐鸿升判刑14年,但仍有五个问题:1.为何2021年才被抓捕归案;2.谁是徐鸿升的保护伞;3.为何没有继续追查;4.怎么能在一年内诈骗如此大的金额;5.受骗人为何没有打电话给这些公司核实。" }
LexEval-Summarization
517
{ "rougel": 0.3716814119, "golden_answer": "由于绛县经济开发区招商几个工业厂和新鑫食品公司污水直排耕地,导致8家耕地40多亩农作物死亡,损失达30多万元。但目前该事件无人管。" }
LexEval-Summarization
546
{ "rougel": 0.1496598592, "golden_answer": "业内看来,外资券商的进入对本土券商整体上影响不大。从行业上讲,现在本土券商对国内资本市场渗透较大,龙头券商的客户也从中大型提升到了超大型的企业。从业务上讲,零售业在国内的发展需要根基,外资券商短期内很难抢占市场。零售业几乎不会受影响,比较稳固,竞争较充分,而外资机构较少涉及此类业务且发展空间不大。" }
LexEval-Summarization
566
{ "rougel": 0.1367521332, "golden_answer": "四川乐山男子酒驾追尾逃被对方拦住后逃逸时将对方摔倒致死,被告人徐某以故意伤害罪被乐山市市中区法院一审判14年有期徒刑。" }
LexEval-Summarization
597
{ "rougel": 0.4845360775, "golden_answer": "7月19日,顺灏股份公布,公司于近日收到最高法送达的《民事调解书》【(2018)最高法民再337号、(2019)最高法民再70号、(2019)最高法民再82号、(2019)最高法民再92号】,就公司与杨宗艳等14人的证券虚假陈述责任纠纷案做出调解。原上海市第二中法院和上海市高院判定公司对投资者的投资损失承担80%的责任。本次经最高人民法院主持调解,由公司自愿按照投资者实际损失的40%对其进行补偿。对于部分投资者起诉公司“证券虚假陈述责任纠纷案”案中可能发生的赔偿,公司已按原告诉讼请求金额的80%计提预计负债。本次最高人民法院下发的调解书是...
LexEval-Summarization
616
{ "rougel": 0.2318840553, "golden_answer": "日前,天津市南开区通报了6起典型案例。其中,南开区人民法院执行局审判员、一级法官曹守城因履职不力被问责。" }
LexEval-Summarization
618
{ "rougel": 0.1649484496, "golden_answer": "2017年6月28、29号,赵雪东、王树英与村党支部委员赵世新、会计巨云新等人借助组织该村党员、村民代表开展红色教育的机会,违规组织绕道河南省某景区公款旅游,消费共计1万余元的村集体资金。2018年8月间赵雪东、王树英、赵世新、巨云新分别受到党内警告处分并被责令退赔违纪费用。" }
LexEval-Summarization
633
{ "rougel": 0.4360189524, "golden_answer": "日前,本社接到居住于临汾市尧都区段店乡翰林苑小区的梁媛媛实名举报称,2019年6月1日,她带着女儿在教师公寓楼前扔垃圾时,临汾二中李泰鹏老师倒车将其女儿撞倒,造成其一岁女儿左掌骨骨折,多处软组织损伤。事故发生后,尧都区公安局交警大队事故中队以“非道路交通事故”为由不予受理,让去找辖区派出所;而去辖区段店派出所报案时,工作人员说非交通道路事故交警队也应受理。段店派出所一位郭姓所长说:让报案人找临汾二中校长,由校长出面协商解决;而临汾二中的王校长却说这事情学校不能插手,让当事人自己调解,但事情一直得不到解决。" }
LexEval-Summarization
642
{ "rougel": 0.203124996, "golden_answer": "“邵东第一豪宅”是一个明显违法的建筑,在网络上已曝光多年,从开建到拆除用时四年,拖到今天才解决。据悉,拆除工作是依靠“多部门联合执法”最终才得以实现的。" }
LexEval-Summarization
643
{ "rougel": 0.2676056298, "golden_answer": "山东泰安一产妇在泰安市山东第一医科大学第二附属医院生产后新生儿死亡。法院调查发现医院的护理记录及监控全部为空白,泰安中院认定产妇李欣缺乏证据驳回其诉求,28日法院二审维持一审判决。" }
LexEval-Summarization
656
{ "rougel": 0.1739130403, "golden_answer": "曾连续两届获得江西省投资环境十佳县的奉新县人民政府,如今因为一项类似BOT模式的市政工程被宜春市中级人民法院纳入失信被执行人名单。" }
LexEval-Summarization
665
{ "rougel": 0.2765957408, "golden_answer": "山西省晋中市平遥县朱坑乡小汪村一村民在自家门口地里挖储藏室时发生坍塌事件,共造成3死1伤。" }
LexEval-Summarization
754
{ "rougel": 0.230769226, "golden_answer": "陕西省安康市汉滨区人民法院官方微博从6月下旬开始,每天都发布世界杯的相关消息,不仅有当天的比赛预告,还有前一天比赛的结果。在僵尸微博、僵尸微信出现后,有关部门意识到了危害性,做出了一些规定,比如新闻中提到的安康市法院,他们规定“法院微博每天发布的条数是有数量要求的”导致新进成员为了完成数量而随意乱发于本部门无关的微博内容。" }
LexEval-Summarization
764
{ "rougel": 0.2105263134, "golden_answer": "山东兴盛房地产开发有限公司董事长兼总经理陈祖其被诈骗致上亿房产被冻结。" }
LexEval-Summarization
777
{ "rougel": 0.3052208786, "golden_answer": "近日,山西省纪委监委官网发布对省监狱管理局党委书记、局长王伟,省监狱管理局副巡视员高奇,省人民检察院原副巡视员贾文声,省高级人民法院审判委员会原专职委员关中翔违纪违法问题的通报。上述四人的通报均出现“涉黑”“充当黑恶势力保护伞”等表述。多位熟悉山西政法领域的人士透露,通报所指向的黑社会人物,就是在太原乃至整个山西都“响当当”的人物“小四毛”。公开资料显示,“小四毛”本名任爱军,1967年出生,山西临县人。他从上世纪90年代起就活跃于山西黑社会团体,早年曾因抢劫、故意伤害他人被判刑,出狱后继续寻衅滋事参与组织黑社会活动。多位熟悉山西政法系统...
LexEval-Summarization
784
{ "rougel": 0.1474654329, "golden_answer": "据山西平顺的百姓反映,在山西省平顺县神龙湾旅游公路,记者看到了眼前的一幕:一条外观崭新的道路,不足百米就有三个补丁,路边上堆放着被铲除下来的沥青路面。让一条崭新的公路不仅没有变美,反倒“现丑”了,也让一条本应该为旅游塑造形象的靓丽工程变成了“现丑”工程。而这,还只是表面问题。这条路被冠以“旅游公路”的名号,正是山西省斥巨资数亿元建设的这条“神龙湾旅游公路”,寄希望通过这条公路,挖掘当地的旅游资源,让更多的游客可以走进山西,了解山西的秀美风光,从而实现精准扶贫。同时也希望通过旅游带动当地老百姓脱贫。只是还有人觊觎其中的的巨额利润,弄虚作假,...
LexEval-Summarization
787
{ "rougel": 0.4022988464, "golden_answer": "去年6月,杭州市上城区4岁女童楼下玩耍时触碰带电大棚铁杆后身亡。违章搭建大棚犯罪嫌疑人徐某和张某被以危险方法危害公共安全罪提起公诉。本案刑事被告人、雇主、物业公司、华数公司等众多主体被提起人身损害赔偿诉讼,被判赔121万余元。" }
LexEval-Summarization
825
{ "rougel": 0.089552236, "golden_answer": "山西省临汾市被曝大气检测数据造假,这样的造假令某些地方生态环境持续恶化,因此对待这类造假,必须零容忍。" }
LexEval-Summarization
826
{ "rougel": 0.2360248407, "golden_answer": "谭燕姣作为一起套路贷诈骗案的受害者。2020年9月,深圳市罗湖区法院判决贺志刚等人构成诈骗罪,并判刑退赔。被告团伙不服上诉后,深圳市中院将此案发回重审。谭燕姣与其他被害人一直就相关情况信访反映情况,未予解决问题。" }
LexEval-Summarization
865
{ "rougel": 0.1249999965, "golden_answer": "一篇文章报道了一起普通的民事案件,该案件于2002年3月作出生效判决,但16年未执结。目前该案件已成为一个复杂、广为人知的问题。" }
LexEval-Summarization
867
{ "rougel": 0.2435897389, "golden_answer": "张爱萍举报临汾市中院法官与虚假诉讼的当事人以权谋私、枉法裁判。临汾市中院于2016年审理山西尧都农村商业银行股份有限公司董事长洪福生与古县宝丰焦化有限责任公司董事长邵海亮因4900万元借贷一案,张爱萍被作为本案的第二被告要求承担连带担保责任。张爱萍认为保证书是伪造的,法院不听其申辩就判决有违公正。" }
LexEval-Summarization
887
{ "rougel": 0.1692307662, "golden_answer": "岳阳市民张先生丢失身份证,四年后欠下多笔贷款成“老赖”,经过开福区检察院的多方努力下终于摘掉戴了四年的“老赖”帽。" }
LexEval-Summarization
908
{ "rougel": 0.1874999954, "golden_answer": "权健公司虚假宣传及产品缺陷受害者周洋的父亲表示,周洋服用了权健公司产品导致原有病情加剧恶化,元旦之后他将再次起诉权健虚假宣传,并要求想应损害赔偿。届时将提交新证据以证明。此前,赤峰市松山区法院曾经判决驳回了周洋方面的诉讼请求。" }
LexEval-Summarization
933
{ "rougel": 0.1801801771, "golden_answer": "山西省忻州市中院查封杨雅林及大连新佰瑞公司银行帐户,未送到查封裁定书,二者无法复议申请,导致大连公司经营陷入瘫痪。" }
LexEval-Summarization
938
{ "rougel": 0.0676328477, "golden_answer": "据消息称,2018年12月华为首席财务官孟晚舟在温哥华被捕后,中国以危害国家安全为由拘捕了两名加拿大公民康明凯和斯帕沃尔。" }
LexEval-Summarization
978
{ "rougel": 0.2809917328, "golden_answer": "兴文县教体文广局女副局长高雪梅因犯贪污罪、受贿罪被被兴文县人民法院判处有期徒刑8年,并处罚金46万元。" }
LexEval-Summarization
990
{ "rougel": 0.2054794487, "golden_answer": "2018年7月,山东省莱芜市中院判处陈建利死刑,后其提出上诉。2019年5月,山东省高院在济南市莱芜区人民法院二审开庭审理此案,法院最终决定择日宣判。" }
LexEval-Summarization
999
{ "rougel": 0.1843971588, "golden_answer": "李霞将《人民的名义》的作者周梅森及北京出版集团公司诉至法院。一审败诉后,李霞上诉。北京知产法院于6月13日上午,开庭审理了此案。法官表示,只有独创性的表达才受著作权法保护。由于李霞不接受调解,法官宣布择期宣判。" }
LexEval-Summarization
48
null
LexEval-Summarization
70
null
LexEval-Summarization
114
null
LexEval-Summarization
117
null
LexEval-Summarization
131
null
LexEval-Summarization
142
null
LexEval-Summarization
146
null
LexEval-Summarization
161
null
LexEval-Summarization
165
null
LexEval-Summarization
169
null
LexEval-Summarization
175
null
LexEval-Summarization
203
null
LexEval-Summarization
228
null
LexEval-Summarization
257
null
LexEval-Summarization
269
null
LexEval-Summarization
276
null
LexEval-Summarization
284
null
LexEval-Summarization
305
null
LexEval-Summarization
323
null
LexEval-Summarization
352
null
LexEval-Summarization
394
null
LexEval-Summarization
470
null
LexEval-Summarization
511
null
LexEval-Summarization
517
null
LexEval-Summarization
546
null
LexEval-Summarization
566
null
LexEval-Summarization
597
null
LexEval-Summarization
616
null
LexEval-Summarization
618
null
LexEval-Summarization
633
null
LexEval-Summarization
642
null
LexEval-Summarization
643
null
LexEval-Summarization
656
null
LexEval-Summarization
665
null
LexEval-Summarization
754
null
LexEval-Summarization
764
null
LexEval-Summarization
777
null
LexEval-Summarization
784
null
LexEval-Summarization
787
null
LexEval-Summarization
825
null
LexEval-Summarization
826
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LexEval-Summarization
865
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LexEval-Summarization
867
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LexEval-Summarization
887
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LexEval-Summarization
908
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LexEval-Summarization
933
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LexEval-Summarization
938
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LexEval-Summarization
978
null
LexEval-Summarization
990
null
LexEval-Summarization
999
null
LexEval-Summarization
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