A temporal dependency occurs when developers change two or more files at the same time (i.e. they are a part of the same commit).
| Pairs | # same commits | # commits 1 | # commits 2 | latest commit |
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| notebooks/zh-CN/fine_tuning_llm_to_generate_persian_product_catalogs_in_json_format.ipynb notebooks/en/fine_tuning_llm_to_generate_persian_product_catalogs_in_json_format.ipynb |
2 | 5 (40%) | 10 (20%) | 2025-06-23 |
| Pairs | # same commits | # commits 1 | # commits 2 | latest commit |
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| notebooks/zh-CN/agents.ipynb notebooks/en/agent_rag.ipynb |
3 | 23 (13%) | 50 (6%) | 2025-05-25 |
| notebooks/zh-CN/phoenix_observability_on_hf_spaces.ipynb notebooks/zh-CN/code_search.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_knowledge_graphs_neo4j.ipynb notebooks/zh-CN/llm_gateway_pii_detection.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/benchmarking_tgi.ipynb notebooks/zh-CN/analyzing_art_with_hf_and_fiftyone.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/llm_gateway_pii_detection.ipynb notebooks/zh-CN/enterprise_cookbook_argilla.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_knowledge_graphs_neo4j.ipynb notebooks/zh-CN/fine_tuning_code_llm_on_single_gpu.ipynb |
2 | 3 (66%) | 14 (14%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_knowledge_graphs_neo4j.ipynb notebooks/zh-CN/code_search.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/fine_tuning_code_llm_on_single_gpu.ipynb notebooks/zh-CN/enterprise_cookbook_argilla.ipynb |
2 | 14 (14%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_sql_reranker.ipynb notebooks/zh-CN/rag_with_knowledge_graphs_neo4j.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/code_search.ipynb notebooks/zh-CN/clean_dataset_judges_distilabel.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/llm_gateway_pii_detection.ipynb notebooks/zh-CN/fine_tuning_llm_to_generate_persian_product_catalogs_in_json_format.ipynb |
2 | 3 (66%) | 5 (40%) | 2025-05-26 |
| notebooks/zh-CN/fine_tuning_llm_to_generate_persian_product_catalogs_in_json_format.ipynb notebooks/en/fine_tuning_llm_to_generate_persian_product_catalogs_in_json_format.ipynb |
2 | 5 (40%) | 10 (20%) | 2025-06-23 |
| notebooks/zh-CN/code_search.ipynb notebooks/zh-CN/fine_tuning_llm_to_generate_persian_product_catalogs_in_json_format.ipynb |
2 | 3 (66%) | 5 (40%) | 2025-05-26 |
| notebooks/zh-CN/fine_tuning_code_llm_on_single_gpu.ipynb notebooks/zh-CN/fine_tuning_llm_to_generate_persian_product_catalogs_in_json_format.ipynb |
2 | 14 (14%) | 5 (40%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_sql_reranker.ipynb notebooks/zh-CN/analyzing_art_with_hf_and_fiftyone.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/phoenix_observability_on_hf_spaces.ipynb notebooks/zh-CN/analyzing_art_with_hf_and_fiftyone.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/clean_dataset_judges_distilabel.ipynb notebooks/zh-CN/analyzing_art_with_hf_and_fiftyone.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/fine_tuning_code_llm_on_single_gpu.ipynb notebooks/zh-CN/analyzing_art_with_hf_and_fiftyone.ipynb |
2 | 14 (14%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/llm_gateway_pii_detection.ipynb notebooks/zh-CN/analyzing_art_with_hf_and_fiftyone.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/phoenix_observability_on_hf_spaces.ipynb notebooks/zh-CN/enterprise_cookbook_argilla.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/enterprise_cookbook_argilla.ipynb notebooks/zh-CN/clean_dataset_judges_distilabel.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/analyzing_art_with_hf_and_fiftyone.ipynb notebooks/zh-CN/fine_tuning_llm_to_generate_persian_product_catalogs_in_json_format.ipynb |
2 | 3 (66%) | 5 (40%) | 2025-05-26 |
| notebooks/zh-CN/semantic_reranking_elasticsearch.ipynb notebooks/zh-CN/clean_dataset_judges_distilabel.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_sql_reranker.ipynb notebooks/zh-CN/llm_gateway_pii_detection.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/fine_tuning_code_llm_on_single_gpu.ipynb notebooks/zh-CN/benchmarking_tgi.ipynb |
2 | 14 (14%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/semantic_reranking_elasticsearch.ipynb notebooks/zh-CN/fine_tuning_llm_to_generate_persian_product_catalogs_in_json_format.ipynb |
2 | 3 (66%) | 5 (40%) | 2025-05-26 |
| notebooks/zh-CN/semantic_reranking_elasticsearch.ipynb notebooks/zh-CN/phoenix_observability_on_hf_spaces.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/enterprise_cookbook_argilla.ipynb notebooks/zh-CN/code_search.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/clean_dataset_judges_distilabel.ipynb notebooks/zh-CN/fine_tuning_llm_to_generate_persian_product_catalogs_in_json_format.ipynb |
2 | 3 (66%) | 5 (40%) | 2025-05-26 |
| notebooks/zh-CN/benchmarking_tgi.ipynb notebooks/zh-CN/fine_tuning_llm_to_generate_persian_product_catalogs_in_json_format.ipynb |
2 | 3 (66%) | 5 (40%) | 2025-05-26 |
| notebooks/zh-CN/llm_gateway_pii_detection.ipynb notebooks/zh-CN/fine_tuning_code_llm_on_single_gpu.ipynb |
2 | 3 (66%) | 14 (14%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_knowledge_graphs_neo4j.ipynb notebooks/zh-CN/fine_tuning_llm_to_generate_persian_product_catalogs_in_json_format.ipynb |
2 | 3 (66%) | 5 (40%) | 2025-05-26 |
| notebooks/zh-CN/phoenix_observability_on_hf_spaces.ipynb notebooks/zh-CN/fine_tuning_code_llm_on_single_gpu.ipynb |
2 | 3 (66%) | 14 (14%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_sql_reranker.ipynb notebooks/zh-CN/fine_tuning_llm_to_generate_persian_product_catalogs_in_json_format.ipynb |
2 | 3 (66%) | 5 (40%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_sql_reranker.ipynb notebooks/zh-CN/enterprise_cookbook_argilla.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_sql_reranker.ipynb notebooks/zh-CN/code_search.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/llm_gateway_pii_detection.ipynb notebooks/zh-CN/clean_dataset_judges_distilabel.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/semantic_reranking_elasticsearch.ipynb notebooks/zh-CN/llm_gateway_pii_detection.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_knowledge_graphs_neo4j.ipynb notebooks/zh-CN/analyzing_art_with_hf_and_fiftyone.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_sql_reranker.ipynb notebooks/zh-CN/benchmarking_tgi.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/enterprise_cookbook_argilla.ipynb notebooks/zh-CN/fine_tuning_llm_to_generate_persian_product_catalogs_in_json_format.ipynb |
2 | 3 (66%) | 5 (40%) | 2025-05-26 |
| notebooks/zh-CN/code_search.ipynb notebooks/zh-CN/benchmarking_tgi.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_sql_reranker.ipynb notebooks/zh-CN/fine_tuning_code_llm_on_single_gpu.ipynb |
2 | 3 (66%) | 14 (14%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_sql_reranker.ipynb notebooks/zh-CN/phoenix_observability_on_hf_spaces.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_knowledge_graphs_neo4j.ipynb notebooks/zh-CN/enterprise_cookbook_argilla.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/semantic_reranking_elasticsearch.ipynb notebooks/zh-CN/rag_with_sql_reranker.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/clean_dataset_judges_distilabel.ipynb notebooks/zh-CN/benchmarking_tgi.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_sql_reranker.ipynb notebooks/zh-CN/clean_dataset_judges_distilabel.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/semantic_reranking_elasticsearch.ipynb notebooks/zh-CN/fine_tuning_code_llm_on_single_gpu.ipynb |
2 | 3 (66%) | 14 (14%) | 2025-05-26 |
| notebooks/zh-CN/phoenix_observability_on_hf_spaces.ipynb notebooks/zh-CN/clean_dataset_judges_distilabel.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| Pairs | # same commits | # commits 1 | # commits 2 | latest commit |
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| notebooks/zh-CN/agents.ipynb notebooks/en/agent_rag.ipynb |
14 | 23 (60%) | 50 (28%) | 2025-05-25 |
| notebooks/en/mlflow_ray_serve.ipynb notebooks/en/agent_rag.ipynb |
9 | 25 (36%) | 50 (18%) | 2025-03-23 |
| notebooks/en/mlflow_ray_serve.ipynb notebooks/zh-CN/agents.ipynb |
9 | 25 (36%) | 23 (39%) | 2025-03-23 |
| notebooks/en/search_and_learn.ipynb notebooks/en/agent_rag.ipynb |
8 | 20 (40%) | 50 (16%) | 2025-03-23 |
| notebooks/en/search_and_learn.ipynb notebooks/en/mlflow_ray_serve.ipynb |
8 | 20 (40%) | 25 (32%) | 2025-03-23 |
| notebooks/en/search_and_learn.ipynb notebooks/zh-CN/agents.ipynb |
8 | 20 (40%) | 23 (34%) | 2025-03-23 |
| notebooks/tr/agent_data_analyst.ipynb notebooks/en/search_and_learn.ipynb |
4 | 8 (50%) | 20 (20%) | 2025-03-23 |
| notebooks/en/vector_search_with_hub_as_backend.ipynb notebooks/en/structured_generation_vision_language_models.ipynb |
4 | 12 (33%) | 8 (50%) | 2025-03-23 |
| notebooks/tr/agents.ipynb notebooks/en/mlflow_ray_serve.ipynb |
4 | 7 (57%) | 25 (16%) | 2025-03-23 |
| notebooks/tr/agent_data_analyst.ipynb notebooks/en/mlflow_ray_serve.ipynb |
4 | 8 (50%) | 25 (16%) | 2025-03-23 |
| notebooks/tr/agent_data_analyst.ipynb notebooks/zh-CN/agents.ipynb |
4 | 8 (50%) | 23 (17%) | 2025-03-23 |
| notebooks/tr/agent_data_analyst.ipynb notebooks/en/agent_rag.ipynb |
4 | 8 (50%) | 50 (8%) | 2025-03-23 |
| notebooks/en/structured_generation_vision_language_models.ipynb notebooks/en/search_and_learn.ipynb |
3 | 8 (37%) | 20 (15%) | 2025-03-23 |
| notebooks/tr/agents.ipynb notebooks/en/agent_rag.ipynb |
3 | 7 (42%) | 50 (6%) | 2025-03-23 |
| notebooks/tr/agents.ipynb notebooks/zh-CN/agents.ipynb |
3 | 7 (42%) | 23 (13%) | 2025-03-23 |
| notebooks/fr/structured_generation.ipynb notebooks/en/vector_search_with_hub_as_backend.ipynb |
3 | 5 (60%) | 12 (25%) | 2025-03-23 |
| notebooks/en/structured_generation_vision_language_models.ipynb notebooks/en/agent_rag.ipynb |
3 | 8 (37%) | 50 (6%) | 2025-03-23 |
| notebooks/fr/structured_generation.ipynb notebooks/en/structured_generation_vision_language_models.ipynb |
3 | 5 (60%) | 8 (37%) | 2025-03-23 |
| notebooks/en/vector_search_with_hub_as_backend.ipynb notebooks/en/search_and_learn.ipynb |
3 | 12 (25%) | 20 (15%) | 2025-03-23 |
| notebooks/en/structured_generation_vision_language_models.ipynb notebooks/zh-CN/agents.ipynb |
3 | 8 (37%) | 23 (13%) | 2025-03-23 |
| notebooks/tr/agent_data_analyst.ipynb notebooks/en/structured_generation_vision_language_models.ipynb |
3 | 8 (37%) | 8 (37%) | 2025-03-23 |
| notebooks/en/structured_generation_vision_language_models.ipynb notebooks/en/mlflow_ray_serve.ipynb |
3 | 8 (37%) | 25 (12%) | 2025-03-23 |
| notebooks/tr/agent_data_analyst.ipynb notebooks/en/vector_search_with_hub_as_backend.ipynb |
3 | 8 (37%) | 12 (25%) | 2025-03-23 |
| notebooks/en/vector_search_with_hub_as_backend.ipynb notebooks/en/mlflow_ray_serve.ipynb |
3 | 12 (25%) | 25 (12%) | 2025-03-23 |
| notebooks/en/vector_search_with_hub_as_backend.ipynb notebooks/zh-CN/agents.ipynb |
3 | 12 (25%) | 23 (13%) | 2025-03-23 |
| notebooks/en/vector_search_with_hub_as_backend.ipynb notebooks/en/agent_rag.ipynb |
3 | 12 (25%) | 50 (6%) | 2025-03-23 |
| notebooks/ko/structured_generation.ipynb notebooks/en/rag_llamaindex_librarian.ipynb |
2 | 52 (3%) | 24 (8%) | 2025-03-06 |
| notebooks/ko/structured_generation.ipynb notebooks/tr/agents.ipynb |
2 | 52 (3%) | 7 (28%) | 2025-03-06 |
| notebooks/zh-CN/rag_with_sql_reranker.ipynb notebooks/zh-CN/fine_tuning_code_llm_on_single_gpu.ipynb |
2 | 3 (66%) | 14 (14%) | 2025-05-26 |
| notebooks/tr/agents.ipynb notebooks/en/vector_search_with_hub_as_backend.ipynb |
2 | 7 (28%) | 12 (16%) | 2025-03-23 |
| notebooks/zh-CN/semantic_reranking_elasticsearch.ipynb notebooks/zh-CN/enterprise_cookbook_argilla.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_knowledge_graphs_neo4j.ipynb notebooks/zh-CN/enterprise_cookbook_argilla.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_knowledge_graphs_neo4j.ipynb notebooks/zh-CN/llm_gateway_pii_detection.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_knowledge_graphs_neo4j.ipynb notebooks/zh-CN/code_search.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/enterprise_cookbook_argilla.ipynb notebooks/zh-CN/clean_dataset_judges_distilabel.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/fine_tuning_code_llm_on_single_gpu.ipynb notebooks/zh-CN/analyzing_art_with_hf_and_fiftyone.ipynb |
2 | 14 (14%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_sql_reranker.ipynb notebooks/zh-CN/analyzing_art_with_hf_and_fiftyone.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/semantic_reranking_elasticsearch.ipynb notebooks/zh-CN/analyzing_art_with_hf_and_fiftyone.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_knowledge_graphs_neo4j.ipynb notebooks/zh-CN/clean_dataset_judges_distilabel.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/tr/agents.ipynb notebooks/en/search_and_learn.ipynb |
2 | 7 (28%) | 20 (10%) | 2025-03-23 |
| notebooks/zh-CN/analyzing_art_with_hf_and_fiftyone.ipynb notebooks/zh-CN/fine_tuning_llm_to_generate_persian_product_catalogs_in_json_format.ipynb |
2 | 3 (66%) | 5 (40%) | 2025-05-26 |
| notebooks/zh-CN/semantic_reranking_elasticsearch.ipynb notebooks/zh-CN/fine_tuning_llm_to_generate_persian_product_catalogs_in_json_format.ipynb |
2 | 3 (66%) | 5 (40%) | 2025-05-26 |
| notebooks/en/phoenix_observability_on_hf_spaces.ipynb notebooks/tr/agents.ipynb |
2 | 17 (11%) | 7 (28%) | 2025-03-06 |
| notebooks/zh-CN/fine_tuning_code_llm_on_single_gpu.ipynb notebooks/zh-CN/code_search.ipynb |
2 | 14 (14%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/benchmarking_tgi.ipynb notebooks/zh-CN/fine_tuning_llm_to_generate_persian_product_catalogs_in_json_format.ipynb |
2 | 3 (66%) | 5 (40%) | 2025-05-26 |
| notebooks/zh-CN/llm_gateway_pii_detection.ipynb notebooks/zh-CN/fine_tuning_code_llm_on_single_gpu.ipynb |
2 | 3 (66%) | 14 (14%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_sql_reranker.ipynb notebooks/zh-CN/enterprise_cookbook_argilla.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/semantic_reranking_elasticsearch.ipynb notebooks/zh-CN/benchmarking_tgi.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_sql_reranker.ipynb notebooks/zh-CN/fine_tuning_llm_to_generate_persian_product_catalogs_in_json_format.ipynb |
2 | 3 (66%) | 5 (40%) | 2025-05-26 |
| notebooks/zh-CN/rag_with_sql_reranker.ipynb notebooks/zh-CN/llm_gateway_pii_detection.ipynb |
2 | 3 (66%) | 3 (66%) | 2025-05-26 |
