Datasets:
Tasks:
Text Classification
Formats:
csv
Size:
10K - 100K
ArXiv:
Tags:
llm-routing
semantic-routing
semantic-features
probabilistic-modeling
interpretable-ai
selmroute
License:
Download column_schema.json from Indigma/SeLMRoute-Semantic-Features: direct link, hf CLI and curl.
- Browser
- Download file 15.4 kB
-
https://huggingface.co/datasets/Indigma/SeLMRoute-Semantic-Features/resolve/main/column_schema.json
- Command line
-
hf download hf://datasets/Indigma/SeLMRoute-Semantic-Features/column_schema.json
-
curl -L -o column_schema.json https://huggingface.co/datasets/Indigma/SeLMRoute-Semantic-Features/resolve/main/column_schema.json
15.4 kB
| { | |
| "jev": { | |
| "file": "data/performance/features_jev.csv", | |
| "rows": 11481, | |
| "columns": [ | |
| "sample_id", | |
| "det_char_count", | |
| "det_word_count", | |
| "det_line_count", | |
| "det_question_marks", | |
| "det_digit_count", | |
| "det_code_fence", | |
| "det_numbered_list", | |
| "det_bullet_list", | |
| "det_multiple_choice", | |
| "det_url", | |
| "det_mean_word_len", | |
| "jev_ambiguity__confidence", | |
| "jev_ambiguity__entropy", | |
| "jev_ambiguity__p__0", | |
| "jev_ambiguity__p__1", | |
| "jev_ambiguity__p__2", | |
| "jev_ambiguity__p__3", | |
| "jev_ambiguity__score", | |
| "jev_ambiguity__expected", | |
| "jev_ambiguity__spread", | |
| "jev_answer_openness__confidence", | |
| "jev_answer_openness__entropy", | |
| "jev_answer_openness__p__0", | |
| "jev_answer_openness__p__1", | |
| "jev_answer_openness__p__2", | |
| "jev_answer_openness__p__3", | |
| "jev_answer_openness__score", | |
| "jev_answer_openness__expected", | |
| "jev_answer_openness__spread", | |
| "jev_code_reasoning__noul", | |
| "jev_code_reasoning__entropy", | |
| "jev_constraint_density__confidence", | |
| "jev_constraint_density__entropy", | |
| "jev_constraint_density__p__0", | |
| "jev_constraint_density__p__1", | |
| "jev_constraint_density__p__2", | |
| "jev_constraint_density__p__3", | |
| "jev_constraint_density__score", | |
| "jev_constraint_density__expected", | |
| "jev_constraint_density__spread", | |
| "jev_context_integration__confidence", | |
| "jev_context_integration__entropy", | |
| "jev_context_integration__p__0", | |
| "jev_context_integration__p__1", | |
| "jev_context_integration__p__2", | |
| "jev_context_integration__p__3", | |
| "jev_context_integration__score", | |
| "jev_context_integration__expected", | |
| "jev_context_integration__spread", | |
| "jev_current_information__noul", | |
| "jev_current_information__entropy", | |
| "jev_decomposition_need__confidence", | |
| "jev_decomposition_need__entropy", | |
| "jev_decomposition_need__p__0", | |
| "jev_decomposition_need__p__1", | |
| "jev_decomposition_need__p__2", | |
| "jev_decomposition_need__p__3", | |
| "jev_decomposition_need__score", | |
| "jev_decomposition_need__expected", | |
| "jev_decomposition_need__spread", | |
| "jev_domain_specialization__confidence", | |
| "jev_domain_specialization__entropy", | |
| "jev_domain_specialization__p__0", | |
| "jev_domain_specialization__p__1", | |
| "jev_domain_specialization__p__2", | |
| "jev_domain_specialization__p__3", | |
| "jev_domain_specialization__score", | |
| "jev_domain_specialization__expected", | |
| "jev_domain_specialization__spread", | |
| "jev_exactness__confidence", | |
| "jev_exactness__entropy", | |
| "jev_exactness__p__0", | |
| "jev_exactness__p__1", | |
| "jev_exactness__p__2", | |
| "jev_exactness__p__3", | |
| "jev_exactness__score", | |
| "jev_exactness__expected", | |
| "jev_exactness__spread", | |
| "jev_external_knowledge__noul", | |
| "jev_external_knowledge__entropy", | |
| "jev_factual_recall__noul", | |
| "jev_factual_recall__entropy", | |
| "jev_formal_logic__noul", | |
| "jev_formal_logic__entropy", | |
| "jev_math_reasoning__noul", | |
| "jev_math_reasoning__entropy", | |
| "jev_reasoning_depth__confidence", | |
| "jev_reasoning_depth__entropy", | |
| "jev_reasoning_depth__p__0", | |
| "jev_reasoning_depth__p__1", | |
| "jev_reasoning_depth__p__2", | |
| "jev_reasoning_depth__p__3", | |
| "jev_reasoning_depth__score", | |
| "jev_reasoning_depth__expected", | |
| "jev_reasoning_depth__spread", | |
| "jev_social_affective__noul", | |
| "jev_social_affective__entropy", | |
| "jev_task_family__confidence", | |
| "jev_task_family__entropy", | |
| "jev_task_family__p__code", | |
| "jev_task_family__p__instruction_following", | |
| "jev_task_family__p__knowledge", | |
| "jev_task_family__p__logic", | |
| "jev_task_family__p__mathematics", | |
| "jev_task_family__p__other", | |
| "jev_task_family__p__social_affective", | |
| "jev_task_family__p__tool_use", | |
| "jev_tool_interaction__noul", | |
| "jev_tool_interaction__entropy", | |
| "meta_jev_input_tokens", | |
| "meta_jev_latency_ms" | |
| ], | |
| "sample_id_type": "string", | |
| "other_column_type": "numeric" | |
| }, | |
| "laya": { | |
| "file": "data/performance/features_laya.csv", | |
| "rows": 11481, | |
| "columns": [ | |
| "sample_id", | |
| "det_char_count", | |
| "det_word_count", | |
| "det_line_count", | |
| "det_question_marks", | |
| "det_digit_count", | |
| "det_code_fence", | |
| "det_numbered_list", | |
| "det_bullet_list", | |
| "det_multiple_choice", | |
| "det_url", | |
| "det_mean_word_len", | |
| "laya_ambiguity__confidence", | |
| "laya_ambiguity__entropy", | |
| "laya_ambiguity__p__0", | |
| "laya_ambiguity__p__1", | |
| "laya_ambiguity__p__2", | |
| "laya_ambiguity__p__3", | |
| "laya_ambiguity__score", | |
| "laya_ambiguity__expected", | |
| "laya_ambiguity__spread", | |
| "laya_answer_openness__confidence", | |
| "laya_answer_openness__entropy", | |
| "laya_answer_openness__p__0", | |
| "laya_answer_openness__p__1", | |
| "laya_answer_openness__p__2", | |
| "laya_answer_openness__p__3", | |
| "laya_answer_openness__score", | |
| "laya_answer_openness__expected", | |
| "laya_answer_openness__spread", | |
| "laya_code_reasoning__noul", | |
| "laya_code_reasoning__entropy", | |
| "laya_constraint_density__confidence", | |
| "laya_constraint_density__entropy", | |
| "laya_constraint_density__p__0", | |
| "laya_constraint_density__p__1", | |
| "laya_constraint_density__p__2", | |
| "laya_constraint_density__p__3", | |
| "laya_constraint_density__score", | |
| "laya_constraint_density__expected", | |
| "laya_constraint_density__spread", | |
| "laya_context_integration__confidence", | |
| "laya_context_integration__entropy", | |
| "laya_context_integration__p__0", | |
| "laya_context_integration__p__1", | |
| "laya_context_integration__p__2", | |
| "laya_context_integration__p__3", | |
| "laya_context_integration__score", | |
| "laya_context_integration__expected", | |
| "laya_context_integration__spread", | |
| "laya_current_information__noul", | |
| "laya_current_information__entropy", | |
| "laya_decomposition_need__confidence", | |
| "laya_decomposition_need__entropy", | |
| "laya_decomposition_need__p__0", | |
| "laya_decomposition_need__p__1", | |
| "laya_decomposition_need__p__2", | |
| "laya_decomposition_need__p__3", | |
| "laya_decomposition_need__score", | |
| "laya_decomposition_need__expected", | |
| "laya_decomposition_need__spread", | |
| "laya_domain_specialization__confidence", | |
| "laya_domain_specialization__entropy", | |
| "laya_domain_specialization__p__0", | |
| "laya_domain_specialization__p__1", | |
| "laya_domain_specialization__p__2", | |
| "laya_domain_specialization__p__3", | |
| "laya_domain_specialization__score", | |
| "laya_domain_specialization__expected", | |
| "laya_domain_specialization__spread", | |
| "laya_exactness__confidence", | |
| "laya_exactness__entropy", | |
| "laya_exactness__p__0", | |
| "laya_exactness__p__1", | |
| "laya_exactness__p__2", | |
| "laya_exactness__p__3", | |
| "laya_exactness__score", | |
| "laya_exactness__expected", | |
| "laya_exactness__spread", | |
| "laya_external_knowledge__noul", | |
| "laya_external_knowledge__entropy", | |
| "laya_factual_recall__noul", | |
| "laya_factual_recall__entropy", | |
| "laya_formal_logic__noul", | |
| "laya_formal_logic__entropy", | |
| "laya_math_reasoning__noul", | |
| "laya_math_reasoning__entropy", | |
| "laya_reasoning_depth__confidence", | |
| "laya_reasoning_depth__entropy", | |
| "laya_reasoning_depth__p__0", | |
| "laya_reasoning_depth__p__1", | |
| "laya_reasoning_depth__p__2", | |
| "laya_reasoning_depth__p__3", | |
| "laya_reasoning_depth__score", | |
| "laya_reasoning_depth__expected", | |
| "laya_reasoning_depth__spread", | |
| "laya_social_affective__noul", | |
| "laya_social_affective__entropy", | |
| "laya_task_family__confidence", | |
| "laya_task_family__entropy", | |
| "laya_task_family__p__code", | |
| "laya_task_family__p__instruction_following", | |
| "laya_task_family__p__knowledge", | |
| "laya_task_family__p__logic", | |
| "laya_task_family__p__mathematics", | |
| "laya_task_family__p__other", | |
| "laya_task_family__p__social_affective", | |
| "laya_task_family__p__tool_use", | |
| "laya_tool_interaction__noul", | |
| "laya_tool_interaction__entropy", | |
| "meta_laya_input_tokens", | |
| "meta_laya_latency_ms" | |
| ], | |
| "sample_id_type": "string", | |
| "other_column_type": "numeric" | |
| }, | |
| "jev-compact12": { | |
| "file": "data/performance/features_jev_compact12.csv", | |
| "rows": 11481, | |
| "columns": [ | |
| "sample_id", | |
| "det_char_count", | |
| "det_word_count", | |
| "det_line_count", | |
| "det_question_marks", | |
| "det_digit_count", | |
| "det_code_fence", | |
| "det_numbered_list", | |
| "det_bullet_list", | |
| "det_multiple_choice", | |
| "det_url", | |
| "det_mean_word_len", | |
| "jev_ambiguity__confidence", | |
| "jev_ambiguity__entropy", | |
| "jev_ambiguity__p__0", | |
| "jev_ambiguity__p__1", | |
| "jev_ambiguity__p__2", | |
| "jev_ambiguity__p__3", | |
| "jev_ambiguity__score", | |
| "jev_ambiguity__expected", | |
| "jev_ambiguity__spread", | |
| "jev_code_reasoning__noul", | |
| "jev_code_reasoning__entropy", | |
| "jev_constraint_density__confidence", | |
| "jev_constraint_density__entropy", | |
| "jev_constraint_density__p__0", | |
| "jev_constraint_density__p__1", | |
| "jev_constraint_density__p__2", | |
| "jev_constraint_density__p__3", | |
| "jev_constraint_density__score", | |
| "jev_constraint_density__expected", | |
| "jev_constraint_density__spread", | |
| "jev_current_information__noul", | |
| "jev_current_information__entropy", | |
| "jev_domain_specialization__confidence", | |
| "jev_domain_specialization__entropy", | |
| "jev_domain_specialization__p__0", | |
| "jev_domain_specialization__p__1", | |
| "jev_domain_specialization__p__2", | |
| "jev_domain_specialization__p__3", | |
| "jev_domain_specialization__score", | |
| "jev_domain_specialization__expected", | |
| "jev_domain_specialization__spread", | |
| "jev_exactness__confidence", | |
| "jev_exactness__entropy", | |
| "jev_exactness__p__0", | |
| "jev_exactness__p__1", | |
| "jev_exactness__p__2", | |
| "jev_exactness__p__3", | |
| "jev_exactness__score", | |
| "jev_exactness__expected", | |
| "jev_exactness__spread", | |
| "jev_external_knowledge__noul", | |
| "jev_external_knowledge__entropy", | |
| "jev_factual_recall__noul", | |
| "jev_factual_recall__entropy", | |
| "jev_formal_logic__noul", | |
| "jev_formal_logic__entropy", | |
| "jev_reasoning_depth__confidence", | |
| "jev_reasoning_depth__entropy", | |
| "jev_reasoning_depth__p__0", | |
| "jev_reasoning_depth__p__1", | |
| "jev_reasoning_depth__p__2", | |
| "jev_reasoning_depth__p__3", | |
| "jev_reasoning_depth__score", | |
| "jev_reasoning_depth__expected", | |
| "jev_reasoning_depth__spread", | |
| "jev_social_affective__noul", | |
| "jev_social_affective__entropy", | |
| "jev_tool_interaction__noul", | |
| "jev_tool_interaction__entropy", | |
| "meta_jev_input_tokens", | |
| "meta_jev_latency_ms" | |
| ], | |
| "sample_id_type": "string", | |
| "other_column_type": "numeric" | |
| }, | |
| "jev-cost": { | |
| "file": "data/cost/features_jev.csv", | |
| "rows": 12446, | |
| "columns": [ | |
| "sample_id", | |
| "det_char_count", | |
| "det_word_count", | |
| "det_line_count", | |
| "det_question_marks", | |
| "det_digit_count", | |
| "det_code_fence", | |
| "det_numbered_list", | |
| "det_bullet_list", | |
| "det_multiple_choice", | |
| "det_url", | |
| "det_mean_word_len", | |
| "jev_ambiguity__confidence", | |
| "jev_ambiguity__entropy", | |
| "jev_ambiguity__p__0", | |
| "jev_ambiguity__p__1", | |
| "jev_ambiguity__p__2", | |
| "jev_ambiguity__p__3", | |
| "jev_ambiguity__score", | |
| "jev_ambiguity__expected", | |
| "jev_ambiguity__spread", | |
| "jev_answer_openness__confidence", | |
| "jev_answer_openness__entropy", | |
| "jev_answer_openness__p__0", | |
| "jev_answer_openness__p__1", | |
| "jev_answer_openness__p__2", | |
| "jev_answer_openness__p__3", | |
| "jev_answer_openness__score", | |
| "jev_answer_openness__expected", | |
| "jev_answer_openness__spread", | |
| "jev_code_reasoning__noul", | |
| "jev_code_reasoning__entropy", | |
| "jev_constraint_density__confidence", | |
| "jev_constraint_density__entropy", | |
| "jev_constraint_density__p__0", | |
| "jev_constraint_density__p__1", | |
| "jev_constraint_density__p__2", | |
| "jev_constraint_density__p__3", | |
| "jev_constraint_density__score", | |
| "jev_constraint_density__expected", | |
| "jev_constraint_density__spread", | |
| "jev_context_integration__confidence", | |
| "jev_context_integration__entropy", | |
| "jev_context_integration__p__0", | |
| "jev_context_integration__p__1", | |
| "jev_context_integration__p__2", | |
| "jev_context_integration__p__3", | |
| "jev_context_integration__score", | |
| "jev_context_integration__expected", | |
| "jev_context_integration__spread", | |
| "jev_current_information__noul", | |
| "jev_current_information__entropy", | |
| "jev_decomposition_need__confidence", | |
| "jev_decomposition_need__entropy", | |
| "jev_decomposition_need__p__0", | |
| "jev_decomposition_need__p__1", | |
| "jev_decomposition_need__p__2", | |
| "jev_decomposition_need__p__3", | |
| "jev_decomposition_need__score", | |
| "jev_decomposition_need__expected", | |
| "jev_decomposition_need__spread", | |
| "jev_domain_specialization__confidence", | |
| "jev_domain_specialization__entropy", | |
| "jev_domain_specialization__p__0", | |
| "jev_domain_specialization__p__1", | |
| "jev_domain_specialization__p__2", | |
| "jev_domain_specialization__p__3", | |
| "jev_domain_specialization__score", | |
| "jev_domain_specialization__expected", | |
| "jev_domain_specialization__spread", | |
| "jev_exactness__confidence", | |
| "jev_exactness__entropy", | |
| "jev_exactness__p__0", | |
| "jev_exactness__p__1", | |
| "jev_exactness__p__2", | |
| "jev_exactness__p__3", | |
| "jev_exactness__score", | |
| "jev_exactness__expected", | |
| "jev_exactness__spread", | |
| "jev_external_knowledge__noul", | |
| "jev_external_knowledge__entropy", | |
| "jev_factual_recall__noul", | |
| "jev_factual_recall__entropy", | |
| "jev_formal_logic__noul", | |
| "jev_formal_logic__entropy", | |
| "jev_math_reasoning__noul", | |
| "jev_math_reasoning__entropy", | |
| "jev_reasoning_depth__confidence", | |
| "jev_reasoning_depth__entropy", | |
| "jev_reasoning_depth__p__0", | |
| "jev_reasoning_depth__p__1", | |
| "jev_reasoning_depth__p__2", | |
| "jev_reasoning_depth__p__3", | |
| "jev_reasoning_depth__score", | |
| "jev_reasoning_depth__expected", | |
| "jev_reasoning_depth__spread", | |
| "jev_social_affective__noul", | |
| "jev_social_affective__entropy", | |
| "jev_task_family__confidence", | |
| "jev_task_family__entropy", | |
| "jev_task_family__p__code", | |
| "jev_task_family__p__instruction_following", | |
| "jev_task_family__p__knowledge", | |
| "jev_task_family__p__logic", | |
| "jev_task_family__p__mathematics", | |
| "jev_task_family__p__other", | |
| "jev_task_family__p__social_affective", | |
| "jev_task_family__p__tool_use", | |
| "jev_tool_interaction__noul", | |
| "jev_tool_interaction__entropy", | |
| "meta_jev_input_tokens", | |
| "meta_jev_latency_ms" | |
| ], | |
| "sample_id_type": "string", | |
| "other_column_type": "numeric" | |
| } | |
| } | |