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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 ({'n', 'accuracy'}) and 32 missing columns ({'timestamp', 'total_prompt_tokens', 'mean_cost', 'token_source_counts', 'mean_search_latency', 'mean_latency', 'mean_prompt_tokens', 'rag_generator_model', 'mean_rerank_latency', 'mean_answer_relevancy', 'n_cost_known', 'total_tokens', 'mean_answer_correctness', 'total_cost', 'corpus', 'rag_generator_name', 'mean_context_recall', 'n_questions', 'total_completion_tokens', 'by_format', 'weighted_score_pct', 'model', 'mean_total_tokens', 'mean_judge_prompt_tokens', 'total_judge_prompt_tokens', 'mean_completion_tokens', 'mean_faithfulness', 'total_judge_completion_tokens', 'top_k', 'mean_accuracy', 'mean_judge_completion_tokens', 'mean_gen_latency'}).
This happened while the json dataset builder was generating data using
hf://datasets/LiamDuero/telco-analysis/mc_results.json (at revision d0c13bfd8607d67a66d7371492bceb13b5ed9944), ['hf://datasets/LiamDuero/telco-analysis@d0c13bfd8607d67a66d7371492bceb13b5ed9944/all_results.json', 'hf://datasets/LiamDuero/telco-analysis@d0c13bfd8607d67a66d7371492bceb13b5ed9944/mc_results.json', 'hf://datasets/LiamDuero/telco-analysis@d0c13bfd8607d67a66d7371492bceb13b5ed9944/open_results.json', 'hf://datasets/LiamDuero/telco-analysis@d0c13bfd8607d67a66d7371492bceb13b5ed9944/tf_results.json'], ['hf://datasets/LiamDuero/telco-analysis@d0c13bfd8607d67a66d7371492bceb13b5ed9944/all_results.json', 'hf://datasets/LiamDuero/telco-analysis@d0c13bfd8607d67a66d7371492bceb13b5ed9944/mc_results.json', 'hf://datasets/LiamDuero/telco-analysis@d0c13bfd8607d67a66d7371492bceb13b5ed9944/open_results.json', 'hf://datasets/LiamDuero/telco-analysis@d0c13bfd8607d67a66d7371492bceb13b5ed9944/tf_results.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 1848, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
model_id: string
model_display_name: string
phase: string
reranker_label: string
reranker_key: string
run_name: string
questions_file: string
n: int64
mean_similarity: double
mean_distinct_sources_retrieved: double
canonical_hit_rate: double
n_canonical_source_non_discriminating: int64
exact_chunk_hit_rate: double
mean_coverage_ratio: double
accuracy: double
mean_accuracy_attempted: double
abstention_rate: double
wrong_rate: double
to
{'model_id': Value('string'), 'model_display_name': Value('string'), 'phase': Value('string'), 'reranker_label': Value('string'), 'reranker_key': Value('string'), 'run_name': Value('string'), 'corpus': Value('string'), 'model': Value('string'), 'top_k': Value('int64'), 'timestamp': Value('string'), 'rag_generator_model': Value('string'), 'rag_generator_name': Value('string'), 'questions_file': Value('string'), 'n_questions': Value('int64'), 'mean_accuracy': Value('float64'), 'mean_accuracy_attempted': Value('float64'), 'abstention_rate': Value('float64'), 'wrong_rate': Value('float64'), 'mean_faithfulness': Value('float64'), 'mean_answer_relevancy': Value('float64'), 'mean_similarity': Value('float64'), 'mean_distinct_sources_retrieved': Value('float64'), 'canonical_hit_rate': Value('float64'), 'n_canonical_source_non_discriminating': Value('int64'), 'exact_chunk_hit_rate': Value('float64'), 'mean_coverage_ratio': Value('float64'), 'mean_context_recall': Value('float64'), 'mean_answer_correctness': Value('float64'), 'mean_latency': Value('float64'), 'mean_search_latency': Value('float64'), 'mean_rerank_latency': Value('float64'), 'mean_gen_latency': Value('float64'), 'total_prompt_tokens': Value('int64'), 'total_completion_tokens': Value('int64'), 'total_tokens': Value('int64'), 'mean_prompt_tokens': Value('float64'), 'mean_completion_tokens': Value('float64'), 'mean_total_tokens': Value('float64'), 'total_judge_prompt_tokens': Value('int64'), 'total_judge_completion_tokens':
...
'mean_cost': Value('float64'), 'n_cost_known': Value('int64'), 'token_source_counts': {'api': Value('int64')}, 'weighted_score_pct': Value('float64'), 'by_format': {'mc': {'n': Value('int64'), 'mean_similarity': Value('float64'), 'mean_distinct_sources_retrieved': Value('float64'), 'canonical_hit_rate': Value('float64'), 'n_canonical_source_non_discriminating': Value('int64'), 'exact_chunk_hit_rate': Value('float64'), 'mean_coverage_ratio': Value('float64'), 'accuracy': Value('float64'), 'mean_accuracy_attempted': Value('float64'), 'abstention_rate': Value('float64'), 'wrong_rate': Value('float64')}, 'open': {'n': Value('int64'), 'mean_similarity': Value('float64'), 'mean_distinct_sources_retrieved': Value('float64'), 'canonical_hit_rate': Value('float64'), 'n_canonical_source_non_discriminating': Value('int64'), 'exact_chunk_hit_rate': Value('float64'), 'mean_coverage_ratio': Value('float64'), 'faithfulness': Value('float64'), 'answer_relevancy': Value('float64'), 'context_recall': Value('float64'), 'answer_correctness': Value('float64')}, 'tf': {'n': Value('int64'), 'mean_similarity': Value('float64'), 'mean_distinct_sources_retrieved': Value('float64'), 'canonical_hit_rate': Value('float64'), 'n_canonical_source_non_discriminating': Value('int64'), 'exact_chunk_hit_rate': Value('float64'), 'mean_coverage_ratio': Value('float64'), 'accuracy': Value('float64'), 'mean_accuracy_attempted': Value('float64'), 'abstention_rate': Value('float64'), 'wrong_rate': Value('float64')}}}
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 1694, 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 1850, 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 2 new columns ({'n', 'accuracy'}) and 32 missing columns ({'timestamp', 'total_prompt_tokens', 'mean_cost', 'token_source_counts', 'mean_search_latency', 'mean_latency', 'mean_prompt_tokens', 'rag_generator_model', 'mean_rerank_latency', 'mean_answer_relevancy', 'n_cost_known', 'total_tokens', 'mean_answer_correctness', 'total_cost', 'corpus', 'rag_generator_name', 'mean_context_recall', 'n_questions', 'total_completion_tokens', 'by_format', 'weighted_score_pct', 'model', 'mean_total_tokens', 'mean_judge_prompt_tokens', 'total_judge_prompt_tokens', 'mean_completion_tokens', 'mean_faithfulness', 'total_judge_completion_tokens', 'top_k', 'mean_accuracy', 'mean_judge_completion_tokens', 'mean_gen_latency'}).
This happened while the json dataset builder was generating data using
hf://datasets/LiamDuero/telco-analysis/mc_results.json (at revision d0c13bfd8607d67a66d7371492bceb13b5ed9944), ['hf://datasets/LiamDuero/telco-analysis@d0c13bfd8607d67a66d7371492bceb13b5ed9944/all_results.json', 'hf://datasets/LiamDuero/telco-analysis@d0c13bfd8607d67a66d7371492bceb13b5ed9944/mc_results.json', 'hf://datasets/LiamDuero/telco-analysis@d0c13bfd8607d67a66d7371492bceb13b5ed9944/open_results.json', 'hf://datasets/LiamDuero/telco-analysis@d0c13bfd8607d67a66d7371492bceb13b5ed9944/tf_results.json'], ['hf://datasets/LiamDuero/telco-analysis@d0c13bfd8607d67a66d7371492bceb13b5ed9944/all_results.json', 'hf://datasets/LiamDuero/telco-analysis@d0c13bfd8607d67a66d7371492bceb13b5ed9944/mc_results.json', 'hf://datasets/LiamDuero/telco-analysis@d0c13bfd8607d67a66d7371492bceb13b5ed9944/open_results.json', 'hf://datasets/LiamDuero/telco-analysis@d0c13bfd8607d67a66d7371492bceb13b5ed9944/tf_results.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)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.
model_id string | model_display_name string | phase string | reranker_label string | reranker_key string | run_name string | corpus string | model string | top_k int64 | timestamp string | rag_generator_model string | rag_generator_name string | questions_file string | n_questions int64 | mean_accuracy float64 | mean_accuracy_attempted float64 | abstention_rate float64 | wrong_rate float64 | mean_faithfulness float64 | mean_answer_relevancy float64 | mean_similarity float64 | mean_distinct_sources_retrieved float64 | canonical_hit_rate float64 | n_canonical_source_non_discriminating int64 | exact_chunk_hit_rate float64 | mean_coverage_ratio float64 | mean_context_recall float64 | mean_answer_correctness float64 | mean_latency float64 | mean_search_latency float64 | mean_rerank_latency float64 | mean_gen_latency float64 | total_prompt_tokens int64 | total_completion_tokens int64 | total_tokens int64 | mean_prompt_tokens float64 | mean_completion_tokens float64 | mean_total_tokens float64 | total_judge_prompt_tokens int64 | total_judge_completion_tokens int64 | mean_judge_prompt_tokens float64 | mean_judge_completion_tokens float64 | total_cost float64 | mean_cost float64 | n_cost_known int64 | token_source_counts dict | weighted_score_pct float64 | by_format dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
google/gemma-4-31b-it | Gemma 4 31B (local) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-0.6b_text_baseline_none_c1024_o200 | 3gpp | otel-0.6b | 10 | 20260827_204848 | google/gemma-4-31b-it | local | custom_list | 105 | 0.757895 | 0.986301 | 0.231579 | 0.010526 | 0.755 | 0.577056 | 0.745114 | 1 | 0.87619 | 0 | 0.571429 | 1 | 0.676667 | 0.707631 | 7.284846 | 2.066095 | 0.332203 | 4.886526 | 153,681 | 25,143 | 178,824 | 1,463.628571 | 239.457143 | 1,703.085714 | 46,534 | 6,321 | 443.180952 | 60.2 | 0 | 0 | 105 | {
"api": 105
} | 66.896552 | {
"mc": {
"n": 55,
"mean_similarity": 0.7298490909,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.8909090909,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.5454545455,
"mean_coverage_ratio": 1,
"accuracy": 0.7090909091,
"mean_accuracy_attempt... |
google/gemma-4-31b-it | Gemma 4 31B (local) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-0.6b_parent_child_llm_metadata_c512_o50 | 3gpp | otel-0.6b | 10 | 20260827_205132 | google/gemma-4-31b-it | local | custom_list | 105 | 0.631579 | 0.967742 | 0.347368 | 0.021053 | 0.546548 | 0.428701 | 0.750733 | 1 | 0.752381 | 0 | 0.228571 | 1 | 0.512143 | 0.64557 | 6.770276 | 0.107498 | 0.028193 | 6.634563 | 405,825 | 26,894 | 432,719 | 3,865 | 256.133333 | 4,121.133333 | 54,377 | 4,816 | 517.87619 | 45.866667 | 0 | 0 | 105 | {
"api": 105
} | 51.724138 | {
"mc": {
"n": 55,
"mean_similarity": 0.7408636364,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7818181818,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.2181818182,
"mean_coverage_ratio": 1,
"accuracy": 0.5636363636,
"mean_accuracy_attempt... |
google/gemma-4-31b-it | Gemma 4 31B (local) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-0.6b_parent_child_metadata_tagging_c512_o50 | 3gpp | otel-0.6b | 10 | 20260827_205346 | google/gemma-4-31b-it | local | custom_list | 105 | 0.631579 | 0.967742 | 0.347368 | 0.021053 | 0.670668 | 0.53341 | 0.759572 | 1 | 0.838095 | 0 | 0.066667 | 1 | 0.545 | 0.608506 | 4.574135 | 0.106684 | 0.016034 | 4.451397 | 151,416 | 23,550 | 174,966 | 1,442.057143 | 224.285714 | 1,666.342857 | 40,041 | 5,486 | 381.342857 | 52.247619 | 0 | 0 | 105 | {
"api": 105
} | 51.724138 | {
"mc": {
"n": 55,
"mean_similarity": 0.7469690909,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.8363636364,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.0909090909,
"mean_coverage_ratio": 1,
"accuracy": 0.6181818182,
"mean_accuracy_attempt... |
google/gemma-4-31b-it | Gemma 4 31B (local) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-0.6b_sliding_window_tokens_none_c512_o50 | 3gpp | otel-0.6b | 10 | 20260827_205525 | google/gemma-4-31b-it | local | custom_list | 105 | 0.663158 | 0.969231 | 0.315789 | 0.021053 | 0.728611 | 0.530448 | 0.696667 | 1 | 0.790476 | 0 | 0.266667 | 1 | 0.55 | 0.576442 | 5.944751 | 0.071437 | 0.016672 | 5.856621 | 242,040 | 25,963 | 268,003 | 2,305.142857 | 247.266667 | 2,552.409524 | 57,011 | 5,074 | 542.961905 | 48.32381 | 0 | 0 | 105 | {
"api": 105
} | 53.793103 | {
"mc": {
"n": 55,
"mean_similarity": 0.6991090909,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7636363636,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.2181818182,
"mean_coverage_ratio": 1,
"accuracy": 0.5818181818,
"mean_accuracy_attempt... |
google/gemma-4-31b-it | Gemma 4 31B (local) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-109m_text_baseline_none_c1024_o200 | 3gpp | otel-109m | 10 | 20260827_205733 | google/gemma-4-31b-it | local | custom_list | 105 | 0.684211 | 1 | 0.315789 | 0 | 0.577778 | 0.441754 | 0.77625 | 1 | 0.790476 | 0 | 0.504762 | 1 | 0.583333 | 0.604842 | 6.587285 | 1.255191 | 0.409207 | 4.922865 | 154,713 | 24,273 | 178,986 | 1,473.457143 | 231.171429 | 1,704.628571 | 40,191 | 5,010 | 382.771429 | 47.714286 | 0 | 0 | 105 | {
"api": 105
} | 62.068966 | {
"mc": {
"n": 55,
"mean_similarity": 0.7615618182,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7636363636,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.4,
"mean_coverage_ratio": 1,
"accuracy": 0.6,
"mean_accuracy_attempted": 1,
"abste... |
google/gemma-4-31b-it | Gemma 4 31B (local) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_bge_text_baseline_none_c1024_o200 | 3gpp | bge | 10 | 20260827_204627 | google/gemma-4-31b-it | local | custom_list | 105 | 0.694737 | 1 | 0.305263 | 0 | 0.566667 | 0.498385 | 0.848995 | 1 | 0.809524 | 0 | 0.514286 | 1 | 0.608333 | 0.651607 | 6.46782 | 1.157041 | 0.387448 | 4.923308 | 153,303 | 24,901 | 178,204 | 1,460.028571 | 237.152381 | 1,697.180952 | 38,105 | 4,886 | 362.904762 | 46.533333 | 0 | 0 | 105 | {
"api": 105
} | 62.758621 | {
"mc": {
"n": 55,
"mean_similarity": 0.8427509091,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.8,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.4363636364,
"mean_coverage_ratio": 1,
"accuracy": 0.6545454545,
"mean_accuracy_attempted": 1,
... |
google/gemma-4-31b-it | Gemma 4 31B (local) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_otel-0.6b_text_baseline_none_c1024_o200 | 3gpp | otel-0.6b | 10 | 20260827_210205 | google/gemma-4-31b-it | local | custom_list | 105 | 0.789474 | 0.949367 | 0.168421 | 0.042105 | 0.887427 | 0.602587 | 0.745806 | 1 | 0.838095 | 0 | 0.590476 | 1 | 0.657143 | 0.686898 | 7.985103 | 2.012687 | 0.937207 | 5.035188 | 160,950 | 25,077 | 186,027 | 1,532.857143 | 238.828571 | 1,771.685714 | 46,418 | 6,499 | 442.07619 | 61.895238 | 0 | 0 | 105 | {
"api": 105
} | 72.413793 | {
"mc": {
"n": 55,
"mean_similarity": 0.73362,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.8545454545,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.5454545455,
"mean_coverage_ratio": 1,
"accuracy": 0.7818181818,
"mean_accuracy_attempted": ... |
google/gemma-4-31b-it | Gemma 4 31B (local) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_otel-0.6b_parent_child_llm_metadata_c512_o50 | 3gpp | otel-0.6b | 10 | 20260827_210457 | google/gemma-4-31b-it | local | custom_list | 105 | 0.484211 | 0.901961 | 0.463158 | 0.052632 | 0.570833 | 0.443833 | 0.73727 | 1 | 0.714286 | 0 | 0.171429 | 1 | 0.405714 | 0.549609 | 8.353087 | 0.100173 | 0.076669 | 8.176224 | 609,870 | 27,354 | 637,224 | 5,808.285714 | 260.514286 | 6,068.8 | 45,000 | 4,773 | 428.571429 | 45.457143 | 0 | 0 | 105 | {
"api": 105
} | 38.62069 | {
"mc": {
"n": 55,
"mean_similarity": 0.7374418182,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7636363636,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.2363636364,
"mean_coverage_ratio": 1,
"accuracy": 0.5454545455,
"mean_accuracy_attempt... |
google/gemma-4-31b-it | Gemma 4 31B (local) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_otel-0.6b_parent_child_metadata_tagging_c512_o50 | 3gpp | otel-0.6b | 10 | 20260827_210712 | google/gemma-4-31b-it | local | custom_list | 105 | 0.652632 | 0.96875 | 0.326316 | 0.021053 | 0.76412 | 0.531918 | 0.761608 | 1 | 0.809524 | 0 | 0.028571 | 1 | 0.717857 | 0.69662 | 5.024463 | 0.101414 | 0.074125 | 4.8489 | 158,994 | 25,054 | 184,048 | 1,514.228571 | 238.609524 | 1,752.838095 | 42,270 | 6,224 | 402.571429 | 59.27619 | 0 | 0 | 105 | {
"api": 105
} | 63.448276 | {
"mc": {
"n": 55,
"mean_similarity": 0.7437854545,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7454545455,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.0363636364,
"mean_coverage_ratio": 1,
"accuracy": 0.6,
"mean_accuracy_attempted": 0.97... |
google/gemma-4-31b-it | Gemma 4 31B (local) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_otel-0.6b_sliding_window_tokens_none_c512_o50 | 3gpp | otel-0.6b | 10 | 20260827_210853 | google/gemma-4-31b-it | local | custom_list | 105 | 0.442105 | 0.893617 | 0.505263 | 0.052632 | 0.546296 | 0.422603 | 0.685535 | 1 | 0.742857 | 0 | 0.180952 | 1 | 0.593095 | 0.617864 | 6.120315 | 0.073409 | 0.074789 | 5.972095 | 244,083 | 26,379 | 270,462 | 2,324.6 | 251.228571 | 2,575.828571 | 52,631 | 4,724 | 501.247619 | 44.990476 | 0 | 0 | 105 | {
"api": 105
} | 42.758621 | {
"mc": {
"n": 55,
"mean_similarity": 0.6885454545,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7090909091,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.2181818182,
"mean_coverage_ratio": 1,
"accuracy": 0.4909090909,
"mean_accuracy_attempt... |
google/gemma-4-31b-it | Gemma 4 31B (local) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_otel-109m_text_baseline_none_c1024_o200 | 3gpp | otel-109m | 10 | 20260827_211100 | google/gemma-4-31b-it | local | custom_list | 105 | 0.715789 | 0.985507 | 0.273684 | 0.010526 | 0.851501 | 0.622586 | 0.774981 | 1 | 0.8 | 0 | 0.561905 | 1 | 0.65 | 0.676632 | 7.171008 | 1.256393 | 0.808419 | 5.106175 | 158,517 | 25,017 | 183,534 | 1,509.685714 | 238.257143 | 1,747.942857 | 44,546 | 6,131 | 424.247619 | 58.390476 | 0 | 0 | 105 | {
"api": 105
} | 64.137931 | {
"mc": {
"n": 55,
"mean_similarity": 0.76274,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7818181818,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.4909090909,
"mean_coverage_ratio": 1,
"accuracy": 0.6909090909,
"mean_accuracy_attempted": ... |
google/gemma-4-31b-it | Gemma 4 31B (local) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_bge_text_baseline_none_c1024_o200 | 3gpp | bge | 10 | 20260827_205945 | google/gemma-4-31b-it | local | custom_list | 105 | 0.684211 | 0.984848 | 0.305263 | 0.010526 | 0.824041 | 0.743309 | 0.845741 | 1 | 0.790476 | 0 | 0.542857 | 1 | 0.775 | 0.76836 | 7.293818 | 1.056007 | 1.182867 | 5.054923 | 160,089 | 25,285 | 185,374 | 1,524.657143 | 240.809524 | 1,765.466667 | 46,909 | 6,517 | 446.752381 | 62.066667 | 0 | 0 | 105 | {
"api": 105
} | 65.517241 | {
"mc": {
"n": 55,
"mean_similarity": 0.8396581818,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7454545455,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.4727272727,
"mean_coverage_ratio": 1,
"accuracy": 0.6363636364,
"mean_accuracy_attempt... |
google/gemma-4-31b-it | Gemma 4 31B (local) | no_reranker | null | null | 3gpp-r19_otel-0.6b_text_baseline_none_c1024_o200 | 3gpp | otel-0.6b | 1 | 20260827_223954 | google/gemma-4-31b-it | local | custom_list | 105 | 0.747368 | 0.972603 | 0.231579 | 0.021053 | 0.781871 | 0.54769 | 0.760254 | 1 | 0.828571 | 0 | 0.571429 | 1 | 0.6 | 0.624425 | 6.901312 | 1.943326 | 0 | 4.957966 | 149,649 | 24,867 | 174,516 | 1,425.228571 | 236.828571 | 1,662.057143 | 42,179 | 5,512 | 401.704762 | 52.495238 | 0 | 0 | 105 | {
"api": 105
} | 62.758621 | {
"mc": {
"n": 55,
"mean_similarity": 0.7510145455,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7818181818,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.4909090909,
"mean_coverage_ratio": 1,
"accuracy": 0.6545454545,
"mean_accuracy_attempt... |
google/gemma-4-31b-it | Gemma 4 31B (local) | no_reranker | null | null | 3gpp-r19_otel-0.6b_parent_child_llm_metadata_c512_o50 | 3gpp | otel-0.6b | 1 | 20260827_224256 | google/gemma-4-31b-it | local | custom_list | 105 | 0.736842 | 0.921053 | 0.2 | 0.063158 | 0.831972 | 0.632688 | 0.786716 | 1 | 0.857143 | 0 | 0.361905 | 1 | 0.622381 | 0.701495 | 8.67485 | 0.093499 | 0 | 8.581331 | 610,458 | 28,386 | 638,844 | 5,813.885714 | 270.342857 | 6,084.228571 | 64,562 | 6,182 | 614.87619 | 58.87619 | 0 | 0 | 105 | {
"api": 105
} | 68.965517 | {
"mc": {
"n": 55,
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"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.8363636364,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.3454545455,
"mean_coverage_ratio": 1,
"accuracy": 0.6909090909,
"mean_accuracy_attempt... |
google/gemma-4-31b-it | Gemma 4 31B (local) | no_reranker | null | null | 3gpp-r19_otel-0.6b_parent_child_metadata_tagging_c512_o50 | 3gpp | otel-0.6b | 1 | 20260827_224511 | google/gemma-4-31b-it | local | custom_list | 105 | 0.621053 | 0.967213 | 0.357895 | 0.021053 | 0.722751 | 0.531402 | 0.777741 | 1 | 0.847619 | 0 | 0.047619 | 1 | 0.545714 | 0.630537 | 4.676933 | 0.113013 | 0 | 4.5639 | 148,944 | 23,610 | 172,554 | 1,418.514286 | 224.857143 | 1,643.371429 | 38,741 | 4,896 | 368.961905 | 46.628571 | 0 | 0 | 105 | {
"api": 105
} | 57.931034 | {
"mc": {
"n": 55,
"mean_similarity": 0.76122,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.8181818182,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.0727272727,
"mean_coverage_ratio": 1,
"accuracy": 0.5090909091,
"mean_accuracy_attempted": ... |
google/gemma-4-31b-it | Gemma 4 31B (local) | no_reranker | null | null | 3gpp-r19_otel-0.6b_sliding_window_tokens_none_c512_o50 | 3gpp | otel-0.6b | 1 | 20260827_224655 | google/gemma-4-31b-it | local | custom_list | 105 | 0.610526 | 0.966667 | 0.368421 | 0.021053 | 0.516944 | 0.411953 | 0.714388 | 1 | 0.742857 | 0 | 0.247619 | 1 | 0.561667 | 0.615785 | 6.073447 | 0.067771 | 0 | 6.005656 | 239,310 | 26,619 | 265,929 | 2,279.142857 | 253.514286 | 2,532.657143 | 50,591 | 4,885 | 481.819048 | 46.52381 | 0 | 0 | 105 | {
"api": 105
} | 57.241379 | {
"mc": {
"n": 55,
"mean_similarity": 0.71458,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7272727273,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.2545454545,
"mean_coverage_ratio": 1,
"accuracy": 0.6,
"mean_accuracy_attempted": 0.9705882... |
google/gemma-4-31b-it | Gemma 4 31B (local) | no_reranker | null | null | 3gpp-r19_otel-109m_text_baseline_none_c1024_o200 | 3gpp | otel-109m | 1 | 20260827_224857 | google/gemma-4-31b-it | local | custom_list | 105 | 0.578947 | 0.948276 | 0.389474 | 0.031579 | 0.658333 | 0.494843 | 0.789144 | 1 | 0.72381 | 0 | 0.457143 | 1 | 0.566667 | 0.61056 | 6.292078 | 1.266316 | 0 | 5.025742 | 146,043 | 24,646 | 170,689 | 1,390.885714 | 234.72381 | 1,625.609524 | 39,934 | 5,935 | 380.32381 | 56.52381 | 0 | 0 | 105 | {
"api": 105
} | 51.724138 | {
"mc": {
"n": 55,
"mean_similarity": 0.7770309091,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.6545454545,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.3636363636,
"mean_coverage_ratio": 1,
"accuracy": 0.4909090909,
"mean_accuracy_attempt... |
google/gemma-4-31b-it | Gemma 4 31B (local) | no_reranker | null | null | 3gpp-r19_bge_text_baseline_none_c1024_o200 | 3gpp | bge | 1 | 20260827_223746 | google/gemma-4-31b-it | local | custom_list | 105 | 0.589474 | 0.949153 | 0.378947 | 0.031579 | 0.561738 | 0.500938 | 0.854764 | 1 | 0.771429 | 0 | 0.47619 | 1 | 0.608333 | 0.635459 | 6.194986 | 1.08371 | 0 | 5.111256 | 161,514 | 25,310 | 186,824 | 1,538.228571 | 241.047619 | 1,779.27619 | 38,362 | 5,316 | 365.352381 | 50.628571 | 0 | 0 | 105 | {
"api": 105
} | 55.862069 | {
"mc": {
"n": 55,
"mean_similarity": 0.8493709091,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7818181818,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.4,
"mean_coverage_ratio": 1,
"accuracy": 0.5454545455,
"mean_accuracy_attempted": 0.93... |
google/gemma-4-31b-it | Gemma 4 31B (local) | baseline | null | null | 3gpp_baseline_google-gemma-4-31b-it_no_retrieval_final_3gpp_105 | 3gpp | baseline-google-gemma-4-31b-it | 0 | 20260828_093342 | final_3gpp_105.json | 105 | 0.463158 | 0.463158 | 0 | 0.536842 | 0 | 0.707718 | 0 | 0 | -1 | 0 | -1 | -1 | 0 | 0.605929 | 3.724855 | 0 | 0 | 3.724839 | 22,025 | 20,649 | 42,674 | 209.761905 | 196.657143 | 406.419048 | 14,467 | 1,101 | 137.780952 | 10.485714 | null | null | 0 | {
"api": 105
} | 40.689655 | {
"mc": {
"n": 55,
"mean_similarity": 0,
"mean_distinct_sources_retrieved": 0,
"canonical_hit_rate": -1,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": -1,
"mean_coverage_ratio": -1,
"accuracy": 0.5272727273,
"mean_accuracy_attempted": 0.5272727273,
"absten... | ||
KU-DFI/TelecomGPT-R1 | TelecomGPT-R1 (local) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-0.6b_text_baseline_none_c1024_o200 | 3gpp | otel-0.6b | 10 | 20260828_072048 | KU-DFI/TelecomGPT-R1 | local | custom_list | 105 | 0.778947 | 0.936709 | 0.168421 | 0.052632 | 0.768853 | 0.652655 | 0.745114 | 1 | 0.87619 | 0 | 0.571429 | 1 | 0.665833 | 0.685123 | 10.565077 | 1.838705 | 0.279263 | 8.447087 | 152,250 | 41,930 | 194,180 | 1,450 | 399.333333 | 1,849.333333 | 78,353 | 6,572 | 746.219048 | 62.590476 | 0 | 0 | 105 | {
"api": 105
} | 68.275862 | {
"mc": {
"n": 55,
"mean_similarity": 0.7298490909,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.8909090909,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.5454545455,
"mean_coverage_ratio": 1,
"accuracy": 0.7636363636,
"mean_accuracy_attempt... |
KU-DFI/TelecomGPT-R1 | TelecomGPT-R1 (local) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-0.6b_parent_child_llm_metadata_c512_o50 | 3gpp | otel-0.6b | 10 | 20260828_072458 | KU-DFI/TelecomGPT-R1 | local | custom_list | 105 | 0.715789 | 0.918919 | 0.221053 | 0.063158 | 0.610304 | 0.536133 | 0.750724 | 1 | 0.752381 | 0 | 0.228571 | 1 | 0.512143 | 0.658943 | 15.073881 | 0.085656 | 0.023135 | 14.965068 | 408,468 | 44,811 | 453,279 | 3,890.171429 | 426.771429 | 4,316.942857 | 86,854 | 5,543 | 827.180952 | 52.790476 | 0 | 0 | 105 | {
"api": 105
} | 60.689655 | {
"mc": {
"n": 55,
"mean_similarity": 0.7408418182,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7818181818,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.2181818182,
"mean_coverage_ratio": 1,
"accuracy": 0.7272727273,
"mean_accuracy_attempt... |
KU-DFI/TelecomGPT-R1 | TelecomGPT-R1 (local) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-0.6b_parent_child_metadata_tagging_c512_o50 | 3gpp | otel-0.6b | 10 | 20260828_072735 | KU-DFI/TelecomGPT-R1 | local | custom_list | 105 | 0.757895 | 0.923077 | 0.178947 | 0.063158 | 0.641111 | 0.498525 | 0.759573 | 1 | 0.838095 | 0 | 0.066667 | 1 | 0.545 | 0.6595 | 7.995698 | 0.093926 | 0.016337 | 7.885413 | 149,196 | 40,462 | 189,658 | 1,420.914286 | 385.352381 | 1,806.266667 | 62,800 | 4,849 | 598.095238 | 46.180952 | 0 | 0 | 105 | {
"api": 105
} | 66.896552 | {
"mc": {
"n": 55,
"mean_similarity": 0.7469654545,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.8363636364,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.0909090909,
"mean_coverage_ratio": 1,
"accuracy": 0.7636363636,
"mean_accuracy_attempt... |
KU-DFI/TelecomGPT-R1 | TelecomGPT-R1 (local) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-0.6b_sliding_window_tokens_none_c512_o50 | 3gpp | otel-0.6b | 10 | 20260828_073001 | KU-DFI/TelecomGPT-R1 | local | custom_list | 105 | 0.736842 | 0.958904 | 0.231579 | 0.031579 | 0.612037 | 0.496663 | 0.696654 | 1 | 0.790476 | 0 | 0.266667 | 1 | 0.55 | 0.622462 | 9.396753 | 0.066273 | 0.016471 | 9.313985 | 240,105 | 42,925 | 283,030 | 2,286.714286 | 408.809524 | 2,695.52381 | 80,113 | 5,064 | 762.980952 | 48.228571 | 0 | 0 | 105 | {
"api": 105
} | 65.517241 | {
"mc": {
"n": 55,
"mean_similarity": 0.6990963636,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7636363636,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.2181818182,
"mean_coverage_ratio": 1,
"accuracy": 0.7090909091,
"mean_accuracy_attempt... |
KU-DFI/TelecomGPT-R1 | TelecomGPT-R1 (local) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-109m_text_baseline_none_c1024_o200 | 3gpp | otel-109m | 10 | 20260828_073242 | KU-DFI/TelecomGPT-R1 | local | custom_list | 105 | 0.705263 | 0.957143 | 0.263158 | 0.031579 | 0.433532 | 0.359276 | 0.77625 | 1 | 0.790476 | 0 | 0.504762 | 1 | 0.583333 | 0.604056 | 9.697122 | 1.134635 | 0.352352 | 8.210112 | 153,459 | 40,254 | 193,713 | 1,461.514286 | 383.371429 | 1,844.885714 | 53,716 | 3,825 | 511.580952 | 36.428571 | 0 | 0 | 105 | {
"api": 105
} | 60 | {
"mc": {
"n": 55,
"mean_similarity": 0.7615618182,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7636363636,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.4,
"mean_coverage_ratio": 1,
"accuracy": 0.6727272727,
"mean_accuracy_attempted": 0.92... |
KU-DFI/TelecomGPT-R1 | TelecomGPT-R1 (local) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_bge_text_baseline_none_c1024_o200 | 3gpp | bge | 10 | 20260828_071735 | KU-DFI/TelecomGPT-R1 | local | custom_list | 105 | 0.715789 | 0.931507 | 0.231579 | 0.052632 | 0.656905 | 0.612839 | 0.848995 | 1 | 0.809524 | 0 | 0.514286 | 1 | 0.608333 | 0.675668 | 9.824407 | 1.067066 | 0.342115 | 8.415202 | 151,638 | 41,137 | 192,775 | 1,444.171429 | 391.780952 | 1,835.952381 | 63,022 | 5,214 | 600.209524 | 49.657143 | 0 | 0 | 105 | {
"api": 105
} | 64.137931 | {
"mc": {
"n": 55,
"mean_similarity": 0.8427509091,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.8,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.4363636364,
"mean_coverage_ratio": 1,
"accuracy": 0.6909090909,
"mean_accuracy_attempted": 0.88... |
KU-DFI/TelecomGPT-R1 | TelecomGPT-R1 (local) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_otel-0.6b_text_baseline_none_c1024_o200 | 3gpp | otel-0.6b | 10 | 20260828_073846 | KU-DFI/TelecomGPT-R1 | local | custom_list | 105 | 0.8 | 0.926829 | 0.136842 | 0.063158 | 0.732621 | 0.610606 | 0.745797 | 1 | 0.838095 | 0 | 0.590476 | 1 | 0.657143 | 0.67835 | 10.894233 | 1.748882 | 0.715446 | 8.429883 | 159,225 | 41,609 | 200,834 | 1,516.428571 | 396.27619 | 1,912.704762 | 75,939 | 5,934 | 723.228571 | 56.514286 | 0 | 0 | 105 | {
"api": 105
} | 69.655172 | {
"mc": {
"n": 55,
"mean_similarity": 0.7336163636,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.8545454545,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.5454545455,
"mean_coverage_ratio": 1,
"accuracy": 0.7818181818,
"mean_accuracy_attempt... |
KU-DFI/TelecomGPT-R1 | TelecomGPT-R1 (local) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_otel-0.6b_parent_child_llm_metadata_c512_o50 | 3gpp | otel-0.6b | 10 | 20260828_074332 | KU-DFI/TelecomGPT-R1 | local | custom_list | 105 | 0.578947 | 0.873016 | 0.336842 | 0.084211 | 0.475952 | 0.447162 | 0.737269 | 1 | 0.714286 | 0 | 0.171429 | 1 | 0.405714 | 0.564725 | 18.812156 | 0.091307 | 0.070559 | 18.650267 | 595,914 | 41,407 | 637,321 | 5,675.371429 | 394.352381 | 6,069.72381 | 64,706 | 4,849 | 616.247619 | 46.180952 | 0 | 0 | 105 | {
"api": 105
} | 48.275862 | {
"mc": {
"n": 55,
"mean_similarity": 0.7374436364,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7636363636,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.2363636364,
"mean_coverage_ratio": 1,
"accuracy": 0.6727272727,
"mean_accuracy_attempt... |
KU-DFI/TelecomGPT-R1 | TelecomGPT-R1 (local) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_otel-0.6b_parent_child_metadata_tagging_c512_o50 | 3gpp | otel-0.6b | 10 | 20260828_074607 | KU-DFI/TelecomGPT-R1 | local | custom_list | 105 | 0.757895 | 0.9 | 0.157895 | 0.084211 | 0.638333 | 0.533424 | 0.761595 | 1 | 0.809524 | 0 | 0.028571 | 1 | 0.717857 | 0.713832 | 8.173429 | 0.097557 | 0.070982 | 8.004867 | 156,273 | 40,284 | 196,557 | 1,488.314286 | 383.657143 | 1,871.971429 | 63,892 | 5,390 | 608.495238 | 51.333333 | 0 | 0 | 105 | {
"api": 105
} | 77.241379 | {
"mc": {
"n": 55,
"mean_similarity": 0.7437709091,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7454545455,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.0363636364,
"mean_coverage_ratio": 1,
"accuracy": 0.7272727273,
"mean_accuracy_attempt... |
KU-DFI/TelecomGPT-R1 | TelecomGPT-R1 (local) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_otel-0.6b_sliding_window_tokens_none_c512_o50 | 3gpp | otel-0.6b | 10 | 20260828_074854 | KU-DFI/TelecomGPT-R1 | local | custom_list | 105 | 0.568421 | 0.915254 | 0.378947 | 0.052632 | 0.545803 | 0.487169 | 0.685535 | 1 | 0.742857 | 0 | 0.180952 | 1 | 0.588095 | 0.625584 | 10.613854 | 0.069022 | 0.069405 | 10.475405 | 241,791 | 49,050 | 290,841 | 2,302.771429 | 467.142857 | 2,769.914286 | 90,178 | 5,722 | 858.838095 | 54.495238 | 0 | 0 | 105 | {
"api": 105
} | 51.034483 | {
"mc": {
"n": 55,
"mean_similarity": 0.6885454545,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7090909091,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.2181818182,
"mean_coverage_ratio": 1,
"accuracy": 0.6181818182,
"mean_accuracy_attempt... |
KU-DFI/TelecomGPT-R1 | TelecomGPT-R1 (local) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_otel-109m_text_baseline_none_c1024_o200 | 3gpp | otel-109m | 10 | 20260828_075159 | KU-DFI/TelecomGPT-R1 | local | custom_list | 105 | 0.778947 | 0.986667 | 0.210526 | 0.010526 | 0.741488 | 0.605419 | 0.774981 | 1 | 0.8 | 0 | 0.561905 | 1 | 0.65 | 0.705226 | 10.824466 | 1.277414 | 0.969377 | 8.577654 | 156,879 | 42,011 | 198,890 | 1,494.085714 | 400.104762 | 1,894.190476 | 73,996 | 6,471 | 704.72381 | 61.628571 | 0 | 0 | 105 | {
"api": 105
} | 71.724138 | {
"mc": {
"n": 55,
"mean_similarity": 0.76274,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7818181818,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.4909090909,
"mean_coverage_ratio": 1,
"accuracy": 0.7636363636,
"mean_accuracy_attempted": ... |
KU-DFI/TelecomGPT-R1 | TelecomGPT-R1 (local) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_bge_text_baseline_none_c1024_o200 | 3gpp | bge | 10 | 20260828_073547 | KU-DFI/TelecomGPT-R1 | local | custom_list | 105 | 0.736842 | 0.933333 | 0.210526 | 0.052632 | 0.830263 | 0.783256 | 0.845741 | 1 | 0.790476 | 0 | 0.542857 | 1 | 0.775 | 0.767596 | 10.607199 | 1.073054 | 0.827712 | 8.706411 | 158,109 | 43,002 | 201,111 | 1,505.8 | 409.542857 | 1,915.342857 | 81,067 | 7,092 | 772.066667 | 67.542857 | 0 | 0 | 105 | {
"api": 105
} | 75.862069 | {
"mc": {
"n": 55,
"mean_similarity": 0.8396581818,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7454545455,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.4727272727,
"mean_coverage_ratio": 1,
"accuracy": 0.6909090909,
"mean_accuracy_attempt... |
KU-DFI/TelecomGPT-R1 | TelecomGPT-R1 (local) | no_reranker | null | null | 3gpp-r19_otel-0.6b_text_baseline_none_c1024_o200 | 3gpp | otel-0.6b | 1 | 20260828_081359 | KU-DFI/TelecomGPT-R1 | local | custom_list | 105 | 0.768421 | 0.9125 | 0.157895 | 0.073684 | 0.702317 | 0.577187 | 0.760262 | 1 | 0.828571 | 0 | 0.571429 | 1 | 0.6 | 0.658065 | 10.17624 | 1.757171 | 0 | 8.419045 | 148,170 | 41,862 | 190,032 | 1,411.142857 | 398.685714 | 1,809.828571 | 72,867 | 6,235 | 693.971429 | 59.380952 | 0 | 0 | 105 | {
"api": 105
} | 67.586207 | {
"mc": {
"n": 55,
"mean_similarity": 0.75102,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7818181818,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.4909090909,
"mean_coverage_ratio": 1,
"accuracy": 0.6909090909,
"mean_accuracy_attempted": ... |
KU-DFI/TelecomGPT-R1 | TelecomGPT-R1 (local) | no_reranker | null | null | 3gpp-r19_otel-0.6b_parent_child_llm_metadata_c512_o50 | 3gpp | otel-0.6b | 1 | 20260828_081856 | KU-DFI/TelecomGPT-R1 | local | custom_list | 105 | 0.789474 | 0.925926 | 0.147368 | 0.063158 | 0.636296 | 0.614484 | 0.786725 | 1 | 0.857143 | 0 | 0.361905 | 1 | 0.622381 | 0.687081 | 19.564887 | 0.087684 | 0 | 19.477181 | 604,695 | 41,194 | 645,889 | 5,759 | 392.32381 | 6,151.32381 | 85,638 | 6,049 | 815.6 | 57.609524 | 0 | 0 | 105 | {
"api": 105
} | 72.413793 | {
"mc": {
"n": 55,
"mean_similarity": 0.7705836364,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.8363636364,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.3454545455,
"mean_coverage_ratio": 1,
"accuracy": 0.7454545455,
"mean_accuracy_attempt... |
KU-DFI/TelecomGPT-R1 | TelecomGPT-R1 (local) | no_reranker | null | null | 3gpp-r19_otel-0.6b_parent_child_metadata_tagging_c512_o50 | 3gpp | otel-0.6b | 1 | 20260828_082129 | KU-DFI/TelecomGPT-R1 | local | custom_list | 105 | 0.768421 | 0.890244 | 0.136842 | 0.094737 | 0.580238 | 0.464837 | 0.777742 | 1 | 0.847619 | 0 | 0.047619 | 1 | 0.548571 | 0.625475 | 8.218802 | 0.102155 | 0 | 8.116627 | 146,403 | 40,699 | 187,102 | 1,394.314286 | 387.609524 | 1,781.92381 | 58,748 | 4,454 | 559.504762 | 42.419048 | 0 | 0 | 105 | {
"api": 105
} | 64.137931 | {
"mc": {
"n": 55,
"mean_similarity": 0.7612163636,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.8181818182,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.0727272727,
"mean_coverage_ratio": 1,
"accuracy": 0.6909090909,
"mean_accuracy_attempt... |
KU-DFI/TelecomGPT-R1 | TelecomGPT-R1 (local) | no_reranker | null | null | 3gpp-r19_otel-0.6b_sliding_window_tokens_none_c512_o50 | 3gpp | otel-0.6b | 1 | 20260828_082355 | KU-DFI/TelecomGPT-R1 | local | custom_list | 105 | 0.663158 | 0.913043 | 0.273684 | 0.063158 | 0.563508 | 0.437636 | 0.714392 | 1 | 0.742857 | 0 | 0.247619 | 1 | 0.554048 | 0.648587 | 10.150544 | 0.063156 | 0 | 10.087366 | 237,156 | 47,321 | 284,477 | 2,258.628571 | 450.67619 | 2,709.304762 | 82,116 | 5,274 | 782.057143 | 50.228571 | 0 | 0 | 105 | {
"api": 105
} | 57.241379 | {
"mc": {
"n": 55,
"mean_similarity": 0.7145909091,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7272727273,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.2545454545,
"mean_coverage_ratio": 1,
"accuracy": 0.6909090909,
"mean_accuracy_attempt... |
KU-DFI/TelecomGPT-R1 | TelecomGPT-R1 (local) | no_reranker | null | null | 3gpp-r19_otel-109m_text_baseline_none_c1024_o200 | 3gpp | otel-109m | 1 | 20260828_082630 | KU-DFI/TelecomGPT-R1 | local | custom_list | 105 | 0.663158 | 0.969231 | 0.315789 | 0.021053 | 0.516283 | 0.432626 | 0.789144 | 1 | 0.72381 | 0 | 0.457143 | 1 | 0.566667 | 0.609916 | 9.460259 | 1.330367 | 0 | 8.129872 | 144,864 | 40,341 | 185,205 | 1,379.657143 | 384.2 | 1,763.857143 | 56,596 | 5,118 | 539.009524 | 48.742857 | 0 | 0 | 105 | {
"api": 105
} | 60.689655 | {
"mc": {
"n": 55,
"mean_similarity": 0.7770309091,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.6545454545,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.3636363636,
"mean_coverage_ratio": 1,
"accuracy": 0.6,
"mean_accuracy_attempted": 0.94... |
KU-DFI/TelecomGPT-R1 | TelecomGPT-R1 (local) | no_reranker | null | null | 3gpp-r19_bge_text_baseline_none_c1024_o200 | 3gpp | bge | 1 | 20260828_081115 | KU-DFI/TelecomGPT-R1 | local | custom_list | 105 | 0.642105 | 0.953125 | 0.326316 | 0.031579 | 0.446078 | 0.437513 | 0.854764 | 1 | 0.771429 | 0 | 0.47619 | 1 | 0.608333 | 0.657297 | 9.73192 | 1.061632 | 0 | 8.670267 | 159,315 | 40,929 | 200,244 | 1,517.285714 | 389.8 | 1,907.085714 | 53,469 | 4,297 | 509.228571 | 40.92381 | 0 | 0 | 105 | {
"api": 105
} | 59.310345 | {
"mc": {
"n": 55,
"mean_similarity": 0.8493709091,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7818181818,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.4,
"mean_coverage_ratio": 1,
"accuracy": 0.6363636364,
"mean_accuracy_attempted": 0.94... |
KU-DFI/TelecomGPT-R1 | TelecomGPT-R1 (local) | baseline | null | null | 3gpp_baseline_KU-DFI-TelecomGPT-R1_no_retrieval_final_3gpp_105 | 3gpp | baseline-KU-DFI-TelecomGPT-R1 | 0 | 20260828_085206 | final_3gpp_105.json | 105 | 0.189474 | 0.195652 | 0.031579 | 0.778947 | 0 | 0.728947 | 0 | 0 | -1 | 0 | -1 | -1 | 0 | 0.591893 | 11.53733 | 0 | 0 | 11.537309 | 21,692 | 68,465 | 90,157 | 206.590476 | 652.047619 | 858.638095 | 14,200 | 1,180 | 135.238095 | 11.238095 | null | null | 0 | {
"api": 105
} | 22.758621 | {
"mc": {
"n": 55,
"mean_similarity": 0,
"mean_distinct_sources_retrieved": 0,
"canonical_hit_rate": -1,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": -1,
"mean_coverage_ratio": -1,
"accuracy": 0.1272727273,
"mean_accuracy_attempted": 0.1272727273,
"absten... | ||
deepseek/deepseek-v4-pro-0813 | DeepSeek V4 Pro 0813 (OpenRouter) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-0.6b_text_baseline_none_c1024_o200 | 3gpp | otel-0.6b | 10 | 20260827_230413 | deepseek/deepseek-v4-pro-0813 | openrouter | custom_list | 105 | 0.705263 | 0.905405 | 0.221053 | 0.073684 | 0.583466 | 0.397909 | 0.745105 | 1 | 0.87619 | 0 | 0.571429 | 1 | 0.663333 | 0.559879 | 30.903671 | 2.062545 | 0.373445 | 28.467588 | 163,195 | 117,515 | 280,710 | 1,554.238095 | 1,119.190476 | 2,673.428571 | 41,800 | 4,798 | 398.095238 | 45.695238 | 0.47015 | 0.004478 | 105 | {
"api": 105
} | 56.551724 | {
"mc": {
"n": 55,
"mean_similarity": 0.7298418182,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.8909090909,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.5454545455,
"mean_coverage_ratio": 1,
"accuracy": 0.6727272727,
"mean_accuracy_attempt... |
deepseek/deepseek-v4-pro-0813 | DeepSeek V4 Pro 0813 (OpenRouter) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-0.6b_parent_child_llm_metadata_c512_o50 | 3gpp | otel-0.6b | 10 | 20260827_231042 | deepseek/deepseek-v4-pro-0813 | openrouter | custom_list | 105 | 0.589474 | 0.823529 | 0.284211 | 0.126316 | 0.415251 | 0.331579 | 0.750717 | 1 | 0.752381 | 0 | 0.228571 | 1 | 0.513095 | 0.532028 | 24.48887 | 0.094963 | 0.023066 | 24.370764 | 409,390 | 123,619 | 533,009 | 3,898.952381 | 1,177.32381 | 5,076.27619 | 51,063 | 4,211 | 486.314286 | 40.104762 | 0.646092 | 0.006153 | 105 | {
"api": 105
} | 45.517241 | {
"mc": {
"n": 55,
"mean_similarity": 0.7408418182,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7818181818,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.2181818182,
"mean_coverage_ratio": 1,
"accuracy": 0.5272727273,
"mean_accuracy_attempt... |
deepseek/deepseek-v4-pro-0813 | DeepSeek V4 Pro 0813 (OpenRouter) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-0.6b_parent_child_metadata_tagging_c512_o50 | 3gpp | otel-0.6b | 10 | 20260827_231520 | deepseek/deepseek-v4-pro-0813 | openrouter | custom_list | 105 | 0.589474 | 0.823529 | 0.284211 | 0.126316 | 0.574444 | 0.377815 | 0.759568 | 1 | 0.838095 | 0 | 0.066667 | 1 | 0.545 | 0.549675 | 20.980266 | 0.094151 | 0.014203 | 20.871822 | 154,430 | 114,873 | 269,303 | 1,470.761905 | 1,094.028571 | 2,564.790476 | 36,264 | 3,961 | 345.371429 | 37.72381 | 0.410207 | 0.003907 | 105 | {
"api": 105
} | 48.965517 | {
"mc": {
"n": 55,
"mean_similarity": 0.74696,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.8363636364,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.0909090909,
"mean_coverage_ratio": 1,
"accuracy": 0.5636363636,
"mean_accuracy_attempted": ... |
deepseek/deepseek-v4-pro-0813 | DeepSeek V4 Pro 0813 (OpenRouter) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-0.6b_sliding_window_tokens_none_c512_o50 | 3gpp | otel-0.6b | 10 | 20260827_232142 | deepseek/deepseek-v4-pro-0813 | openrouter | custom_list | 105 | 0.6 | 0.780822 | 0.231579 | 0.168421 | 0.431486 | 0.389834 | 0.696659 | 1 | 0.790476 | 0 | 0.266667 | 1 | 0.55 | 0.452844 | 25.243206 | 0.064869 | 0.015797 | 25.162472 | 247,018 | 145,473 | 392,491 | 2,352.552381 | 1,385.457143 | 3,738.009524 | 52,275 | 4,472 | 497.857143 | 42.590476 | 0.6142 | 0.00585 | 105 | {
"api": 105
} | 46.206897 | {
"mc": {
"n": 55,
"mean_similarity": 0.6991109091,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7636363636,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.2181818182,
"mean_coverage_ratio": 1,
"accuracy": 0.5636363636,
"mean_accuracy_attempt... |
deepseek/deepseek-v4-pro-0813 | DeepSeek V4 Pro 0813 (OpenRouter) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-109m_text_baseline_none_c1024_o200 | 3gpp | otel-109m | 10 | 20260827_232625 | deepseek/deepseek-v4-pro-0813 | openrouter | custom_list | 105 | 0.663158 | 0.926471 | 0.284211 | 0.052632 | 0.433031 | 0.30114 | 0.77625 | 1 | 0.790476 | 0 | 0.504762 | 1 | 0.583333 | 0.602439 | 20.502301 | 1.242938 | 0.427367 | 18.831903 | 162,911 | 103,879 | 266,790 | 1,551.533333 | 989.32381 | 2,540.857143 | 38,914 | 4,142 | 370.609524 | 39.447619 | 0.462172 | 0.004402 | 105 | {
"api": 105
} | 57.241379 | {
"mc": {
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"mean_similarity": 0.7615618182,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7636363636,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.4,
"mean_coverage_ratio": 1,
"accuracy": 0.5636363636,
"mean_accuracy_attempted": 0.88... |
deepseek/deepseek-v4-pro-0813 | DeepSeek V4 Pro 0813 (OpenRouter) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_bge_text_baseline_none_c1024_o200 | 3gpp | bge | 10 | 20260827_225743 | deepseek/deepseek-v4-pro-0813 | openrouter | custom_list | 105 | 0.631579 | 0.882353 | 0.284211 | 0.084211 | 0.486667 | 0.474323 | 0.848995 | 1 | 0.809524 | 0 | 0.514286 | 1 | 0.608333 | 0.645852 | 26.83254 | 1.072803 | 0.404211 | 25.355432 | 162,012 | 118,345 | 280,357 | 1,542.971429 | 1,127.095238 | 2,670.066667 | 38,868 | 4,620 | 370.171429 | 44 | 0.45833 | 0.004365 | 105 | {
"api": 105
} | 55.172414 | {
"mc": {
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"mean_similarity": 0.8427509091,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.8,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.4363636364,
"mean_coverage_ratio": 1,
"accuracy": 0.5818181818,
"mean_accuracy_attempted": 0.84... |
deepseek/deepseek-v4-pro-0813 | DeepSeek V4 Pro 0813 (OpenRouter) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_otel-0.6b_text_baseline_none_c1024_o200 | 3gpp | otel-0.6b | 10 | 20260827_233655 | deepseek/deepseek-v4-pro-0813 | openrouter | custom_list | 105 | 0.747368 | 0.845238 | 0.115789 | 0.136842 | 0.647515 | 0.416942 | 0.745803 | 1 | 0.838095 | 0 | 0.590476 | 1 | 0.657143 | 0.630174 | 21.951044 | 2.024878 | 0.972395 | 18.953667 | 165,542 | 104,536 | 270,078 | 1,576.590476 | 995.580952 | 2,572.171429 | 44,070 | 5,537 | 419.714286 | 52.733333 | 0.430262 | 0.004098 | 105 | {
"api": 105
} | 59.310345 | {
"mc": {
"n": 55,
"mean_similarity": 0.7336218182,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.8545454545,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.5454545455,
"mean_coverage_ratio": 1,
"accuracy": 0.7454545455,
"mean_accuracy_attempt... |
deepseek/deepseek-v4-pro-0813 | DeepSeek V4 Pro 0813 (OpenRouter) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_otel-0.6b_parent_child_llm_metadata_c512_o50 | 3gpp | otel-0.6b | 10 | 20260827_234204 | deepseek/deepseek-v4-pro-0813 | openrouter | custom_list | 105 | 0.442105 | 0.736842 | 0.4 | 0.157895 | 0.397835 | 0.338367 | 0.737276 | 1 | 0.714286 | 0 | 0.171429 | 1 | 0.405714 | 0.526795 | 23.149007 | 0.087579 | 0.066805 | 22.994525 | 585,003 | 119,532 | 704,535 | 5,571.457143 | 1,138.4 | 6,709.857143 | 42,837 | 4,240 | 407.971429 | 40.380952 | 0.716115 | 0.00682 | 105 | {
"api": 105
} | 35.862069 | {
"mc": {
"n": 55,
"mean_similarity": 0.73744,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7636363636,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.2363636364,
"mean_coverage_ratio": 1,
"accuracy": 0.4909090909,
"mean_accuracy_attempted": ... |
deepseek/deepseek-v4-pro-0813 | DeepSeek V4 Pro 0813 (OpenRouter) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_otel-0.6b_parent_child_metadata_tagging_c512_o50 | 3gpp | otel-0.6b | 10 | 20260827_234653 | deepseek/deepseek-v4-pro-0813 | openrouter | custom_list | 105 | 0.589474 | 0.788732 | 0.252632 | 0.157895 | 0.517937 | 0.362132 | 0.761597 | 1 | 0.809524 | 0 | 0.028571 | 1 | 0.71619 | 0.657777 | 23.246089 | 0.095168 | 0.067125 | 23.083701 | 158,741 | 118,545 | 277,286 | 1,511.819048 | 1,129 | 2,640.819048 | 37,667 | 4,416 | 358.733333 | 42.057143 | 0.458219 | 0.004364 | 105 | {
"api": 105
} | 52.413793 | {
"mc": {
"n": 55,
"mean_similarity": 0.7437745455,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7454545455,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.0363636364,
"mean_coverage_ratio": 1,
"accuracy": 0.5636363636,
"mean_accuracy_attempt... |
deepseek/deepseek-v4-pro-0813 | DeepSeek V4 Pro 0813 (OpenRouter) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_otel-0.6b_sliding_window_tokens_none_c512_o50 | 3gpp | otel-0.6b | 10 | 20260827_235205 | deepseek/deepseek-v4-pro-0813 | openrouter | custom_list | 105 | 0.442105 | 0.75 | 0.410526 | 0.147368 | 0.49537 | 0.396289 | 0.685539 | 1 | 0.742857 | 0 | 0.180952 | 1 | 0.593095 | 0.572163 | 23.942521 | 0.067219 | 0.070625 | 23.804575 | 247,654 | 127,134 | 374,788 | 2,358.609524 | 1,210.8 | 3,569.409524 | 57,288 | 5,296 | 545.6 | 50.438095 | 0.533741 | 0.005083 | 105 | {
"api": 105
} | 39.310345 | {
"mc": {
"n": 55,
"mean_similarity": 0.68856,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7090909091,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.2181818182,
"mean_coverage_ratio": 1,
"accuracy": 0.4727272727,
"mean_accuracy_attempted": ... |
deepseek/deepseek-v4-pro-0813 | DeepSeek V4 Pro 0813 (OpenRouter) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_otel-109m_text_baseline_none_c1024_o200 | 3gpp | otel-109m | 10 | 20260827_235744 | deepseek/deepseek-v4-pro-0813 | openrouter | custom_list | 105 | 0.673684 | 0.831169 | 0.189474 | 0.136842 | 0.636459 | 0.446868 | 0.774981 | 1 | 0.8 | 0 | 0.561905 | 1 | 0.65 | 0.643313 | 23.669789 | 1.416157 | 0.75138 | 21.502164 | 162,764 | 114,624 | 277,388 | 1,550.133333 | 1,091.657143 | 2,641.790476 | 42,431 | 5,713 | 404.104762 | 54.409524 | 0.47449 | 0.004519 | 105 | {
"api": 105
} | 57.931034 | {
"mc": {
"n": 55,
"mean_similarity": 0.76274,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7818181818,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.4909090909,
"mean_coverage_ratio": 1,
"accuracy": 0.6363636364,
"mean_accuracy_attempted": ... |
deepseek/deepseek-v4-pro-0813 | DeepSeek V4 Pro 0813 (OpenRouter) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_bge_text_baseline_none_c1024_o200 | 3gpp | bge | 10 | 20260827_233159 | deepseek/deepseek-v4-pro-0813 | openrouter | custom_list | 105 | 0.652632 | 0.849315 | 0.231579 | 0.115789 | 0.668214 | 0.604148 | 0.845741 | 1 | 0.790476 | 0 | 0.542857 | 1 | 0.775 | 0.641422 | 23.331442 | 1.031054 | 1.127135 | 21.17315 | 166,102 | 121,107 | 287,209 | 1,581.92381 | 1,153.4 | 2,735.32381 | 45,298 | 6,585 | 431.409524 | 62.714286 | 0.465962 | 0.004438 | 105 | {
"api": 105
} | 56.551724 | {
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deepseek/deepseek-v4-pro-0813 | DeepSeek V4 Pro 0813 (OpenRouter) | no_reranker | null | null | 3gpp-r19_otel-0.6b_text_baseline_none_c1024_o200 | 3gpp | otel-0.6b | 1 | 20260828_091405 | deepseek/deepseek-v4-pro-0813 | openrouter | custom_list | 105 | 0.694737 | 0.929577 | 0.252632 | 0.052632 | 0.543254 | 0.399056 | 0.760256 | 1 | 0.828571 | 0 | 0.571429 | 1 | 0.6 | 0.481281 | 25.10183 | 1.780485 | 0 | 23.321269 | 155,887 | 105,563 | 261,450 | 1,484.638095 | 1,005.361905 | 2,490 | 36,528 | 4,996 | 347.885714 | 47.580952 | 0.557311 | 0.005308 | 105 | {
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} | 52.413793 | {
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deepseek/deepseek-v4-pro-0813 | DeepSeek V4 Pro 0813 (OpenRouter) | no_reranker | null | null | 3gpp-r19_otel-0.6b_parent_child_llm_metadata_c512_o50 | 3gpp | otel-0.6b | 1 | 20260828_091848 | deepseek/deepseek-v4-pro-0813 | openrouter | custom_list | 105 | 0.736842 | 0.909091 | 0.189474 | 0.073684 | 0.541772 | 0.464957 | 0.786711 | 1 | 0.857143 | 0 | 0.361905 | 1 | 0.621905 | 0.645669 | 18.930006 | 0.095716 | 0 | 18.834225 | 588,398 | 100,179 | 688,577 | 5,603.790476 | 954.085714 | 6,557.87619 | 56,766 | 4,958 | 540.628571 | 47.219048 | 0.988758 | 0.009417 | 105 | {
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} | 62.068966 | {
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deepseek/deepseek-v4-pro-0813 | DeepSeek V4 Pro 0813 (OpenRouter) | no_reranker | null | null | 3gpp-r19_otel-0.6b_parent_child_metadata_tagging_c512_o50 | 3gpp | otel-0.6b | 1 | 20260828_092301 | deepseek/deepseek-v4-pro-0813 | openrouter | custom_list | 105 | 0.6 | 0.863636 | 0.305263 | 0.094737 | 0.58668 | 0.394643 | 0.777727 | 1 | 0.847619 | 0 | 0.047619 | 1 | 0.548571 | 0.5929 | 19.044268 | 0.095015 | 0 | 18.949192 | 148,110 | 92,915 | 241,025 | 1,410.571429 | 884.904762 | 2,295.47619 | 37,753 | 4,398 | 359.552381 | 41.885714 | 0.516727 | 0.004921 | 105 | {
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} | 53.103448 | {
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deepseek/deepseek-v4-pro-0813 | DeepSeek V4 Pro 0813 (OpenRouter) | no_reranker | null | null | 3gpp-r19_otel-0.6b_sliding_window_tokens_none_c512_o50 | 3gpp | otel-0.6b | 1 | 20260828_092717 | deepseek/deepseek-v4-pro-0813 | openrouter | custom_list | 105 | 0.578947 | 0.820896 | 0.294737 | 0.126316 | 0.541349 | 0.401568 | 0.714385 | 1 | 0.742857 | 0 | 0.247619 | 1 | 0.561667 | 0.55849 | 19.574588 | 0.066361 | 0 | 19.508139 | 241,180 | 109,820 | 351,000 | 2,296.952381 | 1,045.904762 | 3,342.857143 | 51,206 | 5,136 | 487.67619 | 48.914286 | 0.682307 | 0.006498 | 105 | {
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} | 48.275862 | {
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deepseek/deepseek-v4-pro-0813 | DeepSeek V4 Pro 0813 (OpenRouter) | no_reranker | null | null | 3gpp-r19_otel-109m_text_baseline_none_c1024_o200 | 3gpp | otel-109m | 1 | 20260828_093126 | deepseek/deepseek-v4-pro-0813 | openrouter | custom_list | 105 | 0.568421 | 0.9 | 0.368421 | 0.063158 | 0.463148 | 0.376368 | 0.789144 | 1 | 0.72381 | 0 | 0.457143 | 1 | 0.566667 | 0.636918 | 19.357182 | 1.212064 | 0 | 18.145023 | 150,440 | 89,437 | 239,877 | 1,432.761905 | 851.780952 | 2,284.542857 | 37,946 | 5,179 | 361.390476 | 49.32381 | 0.496742 | 0.004731 | 105 | {
"api": 105
} | 54.482759 | {
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deepseek/deepseek-v4-pro-0813 | DeepSeek V4 Pro 0813 (OpenRouter) | no_reranker | null | null | 3gpp-r19_bge_text_baseline_none_c1024_o200 | 3gpp | bge | 1 | 20260828_090843 | deepseek/deepseek-v4-pro-0813 | openrouter | custom_list | 105 | 0.578947 | 0.916667 | 0.368421 | 0.052632 | 0.547685 | 0.488115 | 0.854764 | 1 | 0.771429 | 0 | 0.47619 | 1 | 0.608333 | 0.577865 | 21.862068 | 0.998561 | 0 | 20.863429 | 162,061 | 94,470 | 256,531 | 1,543.438095 | 899.714286 | 2,443.152381 | 37,834 | 5,064 | 360.32381 | 48.228571 | 0.532657 | 0.005073 | 105 | {
"api": 105
} | 48.275862 | {
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deepseek/deepseek-v4-pro-0813 | DeepSeek V4 Pro 0813 (OpenRouter) | baseline | null | null | 3gpp_baseline_deepseek-deepseek-v4-pro-0813_no_retrieval_final_3gpp_105 | 3gpp | baseline-deepseek-deepseek-v4-pro-0813 | 0 | 20260828_000540 | final_3gpp_105.json | 105 | 0.242105 | 0.244681 | 0.010526 | 0.747368 | 0 | 0.246294 | 0 | 0 | -1 | 0 | -1 | -1 | 0 | 0.183752 | 33.011243 | 0 | 0 | 33.011219 | 26,578 | 216,711 | 243,289 | 253.12381 | 2,063.914286 | 2,317.038095 | 2,091 | 368 | 19.914286 | 3.504762 | 0.571124 | 0.005439 | 105 | {
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} | 19.310345 | {
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"absten... | ||
z-ai/glm-5.3 | GLM 5.3 (OpenRouter) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-0.6b_text_baseline_none_c1024_o200 | 3gpp | otel-0.6b | 10 | 20260828_001442 | z-ai/glm-5.3 | openrouter | custom_list | 105 | 0.726316 | 0.811765 | 0.105263 | 0.168421 | 0.333558 | 0.223165 | 0.74511 | 1 | 0.87619 | 0 | 0.571429 | 1 | 0.676667 | 0.451973 | 19.576303 | 1.866977 | 0.315316 | 17.393885 | 145,890 | 143,971 | 289,861 | 1,389.428571 | 1,371.152381 | 2,760.580952 | 37,909 | 4,089 | 361.038095 | 38.942857 | 0.696176 | 0.00663 | 105 | {
"api": 105
} | 57.931034 | {
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"accuracy": 0.6909090909,
"mean_accuracy_attempt... |
z-ai/glm-5.3 | GLM 5.3 (OpenRouter) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-0.6b_parent_child_llm_metadata_c512_o50 | 3gpp | otel-0.6b | 10 | 20260828_001922 | z-ai/glm-5.3 | openrouter | custom_list | 105 | 0.568421 | 0.683544 | 0.168421 | 0.263158 | 0.657579 | 0.517252 | 0.750733 | 1 | 0.752381 | 0 | 0.228571 | 1 | 0.512143 | 0.584674 | 20.150219 | 0.09228 | 0.022646 | 20.035187 | 388,644 | 176,489 | 565,133 | 3,701.371429 | 1,680.847619 | 5,382.219048 | 68,954 | 7,766 | 656.704762 | 73.961905 | 1.030856 | 0.009818 | 105 | {
"api": 105
} | 44.137931 | {
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"mean_coverage_ratio": 1,
"accuracy": 0.4909090909,
"mean_accuracy_attempt... |
z-ai/glm-5.3 | GLM 5.3 (OpenRouter) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-0.6b_parent_child_metadata_tagging_c512_o50 | 3gpp | otel-0.6b | 10 | 20260828_002329 | z-ai/glm-5.3 | openrouter | custom_list | 105 | 0.610526 | 0.716049 | 0.147368 | 0.242105 | 0.570582 | 0.401359 | 0.759576 | 1 | 0.838095 | 0 | 0.066667 | 1 | 0.545 | 0.551456 | 18.952941 | 0.086997 | 0.013866 | 18.851959 | 139,425 | 158,582 | 298,007 | 1,327.857143 | 1,510.304762 | 2,838.161905 | 45,276 | 5,849 | 431.2 | 55.704762 | 0.793147 | 0.007554 | 105 | {
"api": 105
} | 50.344828 | {
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"canonical_hit_rate": 0.8363636364,
"n_canonical_source_non_discriminating": 0,
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"mean_coverage_ratio": 1,
"accuracy": 0.6,
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z-ai/glm-5.3 | GLM 5.3 (OpenRouter) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-0.6b_sliding_window_tokens_none_c512_o50 | 3gpp | otel-0.6b | 10 | 20260828_002746 | z-ai/glm-5.3 | openrouter | custom_list | 105 | 0.578947 | 0.670732 | 0.136842 | 0.284211 | 0.562694 | 0.412292 | 0.696663 | 1 | 0.790476 | 0 | 0.266667 | 1 | 0.55 | 0.447507 | 20.288959 | 0.065842 | 0.015019 | 20.207988 | 230,514 | 171,938 | 402,452 | 2,195.371429 | 1,637.504762 | 3,832.87619 | 60,270 | 5,945 | 574 | 56.619048 | 0.910271 | 0.008669 | 105 | {
"api": 105
} | 48.275862 | {
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"canonical_hit_rate": 0.7636363636,
"n_canonical_source_non_discriminating": 0,
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"mean_accuracy_attempt... |
z-ai/glm-5.3 | GLM 5.3 (OpenRouter) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-109m_text_baseline_none_c1024_o200 | 3gpp | otel-109m | 10 | 20260828_003207 | z-ai/glm-5.3 | openrouter | custom_list | 105 | 0.631579 | 0.789474 | 0.2 | 0.168421 | 0.480212 | 0.339865 | 0.77625 | 1 | 0.790476 | 0 | 0.504762 | 1 | 0.583333 | 0.589713 | 20.493606 | 1.297571 | 0.401459 | 18.794449 | 147,102 | 146,896 | 293,998 | 1,400.971429 | 1,399.009524 | 2,799.980952 | 48,536 | 5,279 | 462.247619 | 50.27619 | 0.708919 | 0.006752 | 105 | {
"api": 105
} | 55.172414 | {
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"n_canonical_source_non_discriminating": 0,
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"accuracy": 0.5636363636,
"mean_accuracy_attempted": 0.77... |
z-ai/glm-5.3 | GLM 5.3 (OpenRouter) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_bge_text_baseline_none_c1024_o200 | 3gpp | bge | 10 | 20260828_001039 | z-ai/glm-5.3 | openrouter | custom_list | 105 | 0.642105 | 0.73494 | 0.126316 | 0.231579 | 0.62045 | 0.565495 | 0.848995 | 1 | 0.809524 | 0 | 0.514286 | 1 | 0.608333 | 0.6445 | 20.263327 | 1.088369 | 0.390885 | 18.78395 | 145,311 | 156,464 | 301,775 | 1,383.914286 | 1,490.133333 | 2,874.047619 | 52,393 | 7,319 | 498.980952 | 69.704762 | 0.788055 | 0.007505 | 105 | {
"api": 105
} | 59.310345 | {
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"n_canonical_source_non_discriminating": 0,
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"accuracy": 0.6,
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"ab... |
z-ai/glm-5.3 | GLM 5.3 (OpenRouter) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_otel-0.6b_text_baseline_none_c1024_o200 | 3gpp | otel-0.6b | 10 | 20260828_004141 | z-ai/glm-5.3 | openrouter | custom_list | 105 | 0.736842 | 0.777778 | 0.052632 | 0.210526 | 0.558034 | 0.394935 | 0.745797 | 1 | 0.838095 | 0 | 0.590476 | 1 | 0.657143 | 0.646593 | 22.027323 | 1.878852 | 0.97321 | 19.17514 | 151,878 | 148,572 | 300,450 | 1,446.457143 | 1,414.971429 | 2,861.428571 | 53,490 | 7,084 | 509.428571 | 67.466667 | 0.72349 | 0.00689 | 105 | {
"api": 105
} | 62.068966 | {
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"n_canonical_source_non_discriminating": 0,
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"mean_accuracy_attempt... |
z-ai/glm-5.3 | GLM 5.3 (OpenRouter) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_otel-0.6b_parent_child_llm_metadata_c512_o50 | 3gpp | otel-0.6b | 10 | 20260828_004648 | z-ai/glm-5.3 | openrouter | custom_list | 105 | 0.431579 | 0.554054 | 0.221053 | 0.347368 | 0.62244 | 0.455726 | 0.737269 | 1 | 0.714286 | 0 | 0.171429 | 1 | 0.405714 | 0.515174 | 22.708721 | 0.090341 | 0.069051 | 22.549204 | 567,030 | 189,577 | 756,607 | 5,400.285714 | 1,805.495238 | 7,205.780952 | 59,997 | 6,760 | 571.4 | 64.380952 | 1.204448 | 0.011471 | 105 | {
"api": 105
} | 35.172414 | {
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"mean_distinct_sources_retrieved": 1,
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"n_canonical_source_non_discriminating": 0,
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"mean_coverage_ratio": 1,
"accuracy": 0.4909090909,
"mean_accuracy_attempt... |
z-ai/glm-5.3 | GLM 5.3 (OpenRouter) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_otel-0.6b_parent_child_metadata_tagging_c512_o50 | 3gpp | otel-0.6b | 10 | 20260828_005120 | z-ai/glm-5.3 | openrouter | custom_list | 105 | 0.642105 | 0.709302 | 0.094737 | 0.263158 | 0.617831 | 0.448062 | 0.761604 | 1 | 0.809524 | 0 | 0.028571 | 1 | 0.717857 | 0.656841 | 21.394364 | 0.092081 | 0.066944 | 21.235213 | 144,819 | 170,282 | 315,101 | 1,379.228571 | 1,621.733333 | 3,000.961905 | 46,939 | 6,179 | 447.038095 | 58.847619 | 0.847801 | 0.008074 | 105 | {
"api": 105
} | 62.758621 | {
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"mean_distinct_sources_retrieved": 1,
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"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.0363636364,
"mean_coverage_ratio": 1,
"accuracy": 0.6181818182,
"mean_accuracy_attempt... |
z-ai/glm-5.3 | GLM 5.3 (OpenRouter) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_otel-0.6b_sliding_window_tokens_none_c512_o50 | 3gpp | otel-0.6b | 10 | 20260828_005615 | z-ai/glm-5.3 | openrouter | custom_list | 105 | 0.452632 | 0.614286 | 0.263158 | 0.284211 | 0.661029 | 0.543845 | 0.685531 | 1 | 0.742857 | 0 | 0.180952 | 1 | 0.593095 | 0.623194 | 23.319587 | 0.068468 | 0.070916 | 23.180075 | 230,544 | 187,917 | 418,461 | 2,195.657143 | 1,789.685714 | 3,985.342857 | 76,780 | 9,488 | 731.238095 | 90.361905 | 0.981497 | 0.009348 | 105 | {
"api": 105
} | 46.896552 | {
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"mean_similarity": 0.6885381818,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7090909091,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.2181818182,
"mean_coverage_ratio": 1,
"accuracy": 0.4727272727,
"mean_accuracy_attempt... |
z-ai/glm-5.3 | GLM 5.3 (OpenRouter) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_otel-109m_text_baseline_none_c1024_o200 | 3gpp | otel-109m | 10 | 20260828_010100 | z-ai/glm-5.3 | openrouter | custom_list | 105 | 0.673684 | 0.761905 | 0.115789 | 0.210526 | 0.587169 | 0.45507 | 0.774981 | 1 | 0.8 | 0 | 0.561905 | 1 | 0.65 | 0.642883 | 21.989936 | 1.131292 | 0.7511 | 20.107426 | 148,860 | 157,097 | 305,957 | 1,417.714286 | 1,496.161905 | 2,913.87619 | 53,747 | 7,629 | 511.87619 | 72.657143 | 0.793985 | 0.007562 | 105 | {
"api": 105
} | 61.37931 | {
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"mean_similarity": 0.76274,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7818181818,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.4909090909,
"mean_coverage_ratio": 1,
"accuracy": 0.6363636364,
"mean_accuracy_attempted": ... |
z-ai/glm-5.3 | GLM 5.3 (OpenRouter) | grid | telecom-specific | otel-reranker-0.6b | 3gpp-r19_bge_text_baseline_none_c1024_o200 | 3gpp | bge | 10 | 20260828_003653 | z-ai/glm-5.3 | openrouter | custom_list | 105 | 0.631579 | 0.705882 | 0.105263 | 0.263158 | 0.545582 | 0.517853 | 0.845741 | 1 | 0.790476 | 0 | 0.542857 | 1 | 0.775 | 0.677156 | 22.386389 | 1.115905 | 1.108558 | 20.161799 | 150,453 | 157,073 | 307,526 | 1,432.885714 | 1,495.933333 | 2,928.819048 | 50,772 | 6,437 | 483.542857 | 61.304762 | 0.770865 | 0.007342 | 105 | {
"api": 105
} | 58.62069 | {
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"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7454545455,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.4727272727,
"mean_coverage_ratio": 1,
"accuracy": 0.5818181818,
"mean_accuracy_attempt... |
z-ai/glm-5.3 | GLM 5.3 (OpenRouter) | no_reranker | null | null | 3gpp-r19_otel-0.6b_text_baseline_none_c1024_o200 | 3gpp | otel-0.6b | 1 | 20260828_094419 | z-ai/glm-5.3 | openrouter | custom_list | 105 | 0.663158 | 0.732558 | 0.094737 | 0.242105 | 0.485954 | 0.401463 | 0.760255 | 1 | 0.828571 | 0 | 0.571429 | 1 | 0.6 | 0.554297 | 24.505595 | 1.778208 | 0 | 22.727285 | 142,062 | 151,170 | 293,232 | 1,352.971429 | 1,439.714286 | 2,792.685714 | 49,232 | 7,055 | 468.87619 | 67.190476 | 0.739346 | 0.007041 | 105 | {
"api": 105
} | 57.241379 | {
"mc": {
"n": 55,
"mean_similarity": 0.7510145455,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7818181818,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.4909090909,
"mean_coverage_ratio": 1,
"accuracy": 0.6,
"mean_accuracy_attempted": 0.66... |
z-ai/glm-5.3 | GLM 5.3 (OpenRouter) | no_reranker | null | null | 3gpp-r19_otel-0.6b_parent_child_llm_metadata_c512_o50 | 3gpp | otel-0.6b | 1 | 20260828_094917 | z-ai/glm-5.3 | openrouter | custom_list | 105 | 0.663158 | 0.732558 | 0.094737 | 0.242105 | 0.596355 | 0.464079 | 0.786719 | 1 | 0.857143 | 0 | 0.361905 | 1 | 0.621905 | 0.629435 | 20.358914 | 0.091064 | 0 | 20.267746 | 575,979 | 158,166 | 734,145 | 5,485.514286 | 1,506.342857 | 6,991.857143 | 65,982 | 6,799 | 628.4 | 64.752381 | 1.06994 | 0.01019 | 105 | {
"api": 105
} | 60.689655 | {
"mc": {
"n": 55,
"mean_similarity": 0.7705654545,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.8363636364,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.3454545455,
"mean_coverage_ratio": 1,
"accuracy": 0.6363636364,
"mean_accuracy_attempt... |
z-ai/glm-5.3 | GLM 5.3 (OpenRouter) | no_reranker | null | null | 3gpp-r19_otel-0.6b_parent_child_metadata_tagging_c512_o50 | 3gpp | otel-0.6b | 1 | 20260828_095340 | z-ai/glm-5.3 | openrouter | custom_list | 105 | 0.6 | 0.678571 | 0.115789 | 0.284211 | 0.625119 | 0.409481 | 0.777741 | 1 | 0.847619 | 0 | 0.047619 | 1 | 0.548571 | 0.638743 | 20.415648 | 0.092024 | 0 | 20.323531 | 136,746 | 157,720 | 294,466 | 1,302.342857 | 1,502.095238 | 2,804.438095 | 49,210 | 6,500 | 468.666667 | 61.904762 | 0.787354 | 0.007499 | 105 | {
"api": 105
} | 56.551724 | {
"mc": {
"n": 55,
"mean_similarity": 0.7612054545,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.8181818182,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.0727272727,
"mean_coverage_ratio": 1,
"accuracy": 0.5090909091,
"mean_accuracy_attempt... |
z-ai/glm-5.3 | GLM 5.3 (OpenRouter) | no_reranker | null | null | 3gpp-r19_otel-0.6b_sliding_window_tokens_none_c512_o50 | 3gpp | otel-0.6b | 1 | 20260828_095836 | z-ai/glm-5.3 | openrouter | custom_list | 105 | 0.547368 | 0.658228 | 0.168421 | 0.284211 | 0.545635 | 0.39836 | 0.714389 | 1 | 0.742857 | 0 | 0.247619 | 1 | 0.569286 | 0.543989 | 23.884752 | 0.068577 | 0 | 23.816061 | 228,039 | 183,213 | 411,252 | 2,171.8 | 1,744.885714 | 3,916.685714 | 64,466 | 6,594 | 613.961905 | 62.8 | 0.958022 | 0.009124 | 105 | {
"api": 105
} | 46.206897 | {
"mc": {
"n": 55,
"mean_similarity": 0.7145854545,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7272727273,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.2545454545,
"mean_coverage_ratio": 1,
"accuracy": 0.5454545455,
"mean_accuracy_attempt... |
z-ai/glm-5.3 | GLM 5.3 (OpenRouter) | no_reranker | null | null | 3gpp-r19_otel-109m_text_baseline_none_c1024_o200 | 3gpp | otel-109m | 1 | 20260828_100308 | z-ai/glm-5.3 | openrouter | custom_list | 105 | 0.547368 | 0.722222 | 0.242105 | 0.210526 | 0.365184 | 0.297561 | 0.789144 | 1 | 0.72381 | 0 | 0.457143 | 1 | 0.566667 | 0.576981 | 21.547469 | 1.135074 | 0 | 20.41227 | 138,690 | 149,700 | 288,390 | 1,320.857143 | 1,425.714286 | 2,746.571429 | 42,721 | 5,169 | 406.866667 | 49.228571 | 0.754642 | 0.007187 | 105 | {
"api": 105
} | 49.655172 | {
"mc": {
"n": 55,
"mean_similarity": 0.7770309091,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.6545454545,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.3636363636,
"mean_coverage_ratio": 1,
"accuracy": 0.4727272727,
"mean_accuracy_attempt... |
z-ai/glm-5.3 | GLM 5.3 (OpenRouter) | no_reranker | null | null | 3gpp-r19_bge_text_baseline_none_c1024_o200 | 3gpp | bge | 1 | 20260828_093914 | z-ai/glm-5.3 | openrouter | custom_list | 105 | 0.568421 | 0.710526 | 0.2 | 0.231579 | 0.411164 | 0.409295 | 0.854764 | 1 | 0.771429 | 0 | 0.47619 | 1 | 0.608333 | 0.49758 | 24.688159 | 1.015603 | 0 | 23.672434 | 150,942 | 158,795 | 309,737 | 1,437.542857 | 1,512.333333 | 2,949.87619 | 40,498 | 4,881 | 385.695238 | 46.485714 | 0.80189 | 0.007637 | 105 | {
"api": 105
} | 47.586207 | {
"mc": {
"n": 55,
"mean_similarity": 0.8493709091,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.7818181818,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.4,
"mean_coverage_ratio": 1,
"accuracy": 0.5454545455,
"mean_accuracy_attempted": 0.68... |
z-ai/glm-5.3 | GLM 5.3 (OpenRouter) | baseline | null | null | 3gpp_baseline_z-ai-glm-5.3_no_retrieval_final_3gpp_105 | 3gpp | baseline-z-ai-glm-5.3 | 0 | 20260828_010344 | final_3gpp_105.json | 105 | 0.042105 | 0.042105 | 0 | 0.957895 | 0 | 0 | 0 | 0 | -1 | 0 | -1 | -1 | 0 | 0 | 14.247575 | 0 | 0 | 14.247552 | 21,264 | 103,972 | 125,236 | 202.514286 | 990.209524 | 1,192.72381 | 0 | 0 | 0 | 0 | 0.487246 | 0.00464 | 105 | {
"api": 105
} | 2.758621 | {
"mc": {
"n": 55,
"mean_similarity": 0,
"mean_distinct_sources_retrieved": 0,
"canonical_hit_rate": -1,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": -1,
"mean_coverage_ratio": -1,
"accuracy": 0.0727272727,
"mean_accuracy_attempted": 0.0727272727,
"absten... | ||
qwen/qwen3.8-27b | Qwen3.8 27B (OpenRouter) | grid | generic-cross-encoder | ms-marco-minilm | 3gpp-r19_otel-0.6b_text_baseline_none_c1024_o200 | 3gpp | otel-0.6b | 10 | 20260828_011950 | qwen/qwen3.8-27b | openrouter | custom_list | 105 | 0.684211 | 0.844156 | 0.189474 | 0.126316 | 0.566136 | 0.337579 | 0.74511 | 1 | 0.87619 | 0 | 0.571429 | 1 | 0.676667 | 0.518745 | 36.360058 | 2.007902 | 0.284509 | 34.067556 | 170,801 | 167,806 | 338,607 | 1,626.67619 | 1,598.152381 | 3,224.828571 | 42,084 | 4,737 | 400.8 | 45.114286 | 0.562999 | 0.005362 | 105 | {
"api": 105
} | 55.172414 | {
"mc": {
"n": 55,
"mean_similarity": 0.72984,
"mean_distinct_sources_retrieved": 1,
"canonical_hit_rate": 0.8909090909,
"n_canonical_source_non_discriminating": 0,
"exact_chunk_hit_rate": 0.5454545455,
"mean_coverage_ratio": 1,
"accuracy": 0.6727272727,
"mean_accuracy_attempted": ... |
End of preview.
telco-analysis
Aggregate (not per-question) evaluation results for my MSc thesis (GSMA Open Telco AI Initiative)
— RAG configuration comparison across 6 generator models, built for supervisor review. Source data
lives in LiamDuero/telco-eval; this repo
is a curated, flattened extract of just the final numbers (accuracy, cost, latency, retrieval
metrics, etc.) with the large per-question arrays stripped out.
Built by telcolens/liam/build_telco_analysis_repo.py, re-runnable at any time to refresh these
files from the latest results on telco-eval.
Scope
Question set: final_3gpp_105.json (105 questions: 55 mc / 40 tf / 10 open, difficulty-first +
series-stratified) — the one set all 6 models below share, so results are directly comparable.
Models (6):
| Model | Backend |
|---|---|
google/gemma-4-31b-it |
local |
KU-DFI/TelecomGPT-R1 |
local |
deepseek/deepseek-v4-pro-0813 |
OpenRouter |
z-ai/glm-5.3 |
OpenRouter |
qwen/qwen3.8-27b |
OpenRouter |
mistralai/mistral-small-2603 |
OpenRouter |
Deliberately excluded: otel-2.0-local — confirmed broken (degenerate output: walls of
tab/newline characters with a stray JSON fragment, same root cause as an earlier documented
chat-template/tokenizer mismatch on that server, just a different garbage pattern) via a live
content audit, not a real result.
Per model, up to 19 evaluation runs: 6 (chunking/enrichment/embedding) combos × 2 rerankers (generic cross-encoder + telecom-specific) + the same 6 combos with no reranker + 1 no-RAG baseline. Self-consistency: every RAG answer is 3 independent generations, majority-voted (mc/tf) or averaged (open).
Known gaps (present in the underlying data, not an error in this repo): Gemma has no baseline
specifically against final_3gpp_105.json (only against the earlier small/medium sets); the 4
OpenRouter models were never run through the no-reranker leg (only Gemma and TelecomGPT-R1 were).
all_results.json simply omits what doesn't exist — nothing here is fabricated or interpolated.
Files
all_results.json— every (model, phase, combo) result as one flat list. Each entry is a full aggregate result (accuracy, abstention/wrong rate, retrieval metrics, latency, tokens, real $ cost,by_formatbreakdown) tagged withmodel_id,phase(grid/no_reranker/baseline),reranker_label/reranker_key(null for no-reranker/baseline), andrun_name.mc_results.json/tf_results.json/open_results.json— the same runs, but only each one's per-format breakdown (by_format["mc"/"tf"/"open"]) pulled out into its own row, so a single format can be compared across every model/combo without digging through the nestedby_formatdict inall_results.json. mc/tf rows carryaccuracy/abstention_rate/wrong_rate; open rows carryfaithfulness/answer_relevancy/context_recall/answer_correctness. All rows also carry retrieval metrics (mean_similarity,canonical_hit_rate, etc.), since those apply regardless of format.
None of these files contain question_results (the per-question array with individual answers/
scores) — for that level of detail, pull the specific result.json from telco-eval directly.
Considerations
Personal working repo for thesis progress, not a curated public benchmark. Cost figures are real
(OpenRouter's own billed usage.cost, or $0.00 for genuinely-free local vLLM), not estimates.
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