Roland Tannous 9ca45826d4 feat: parallel URL image probe with time estimate and progress reporting ... - Add 200-sample parallel probe using ThreadPoolExecutor + safe_num_proc to estimate download speed and failure rate before full conversion - Abort with clear error if >=30% of probe images fail to download - Show estimated download time in the training overlay modal - Parallel batch conversion for URL-based datasets (vs sequential for local) - Add warning field to /check-format response for URL-based image datasets - Display URL warning in dataset preview dialog (amber banner) - Thread progress_callback from trainer through format_and_template_dataset to convert_to_vlm_format for real-time status updates		2026-03-04 23:40:38 +00:00
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__init__.py	Add datasets check-format endpoint	2026-02-03 20:42:25 +00:00
chat_templates.py	Cap dataset.map num_proc on multi-GPU machines to prevent fork deadlocks	2026-02-23 14:25:31 +00:00
data_collators.py	Refactor [dataset_utils.py](cci:7://file:///home/support/new-ui-prototype/studio/backend/utils/datasets/dataset_utils.py:0:0-0:0) into focused modules	2026-02-03 14:38:02 +00:00
dataset_utils.py	feat: parallel URL image probe with time estimate and progress reporting	2026-03-04 23:40:38 +00:00
format_conversion.py	feat: parallel URL image probe with time estimate and progress reporting	2026-03-04 23:40:38 +00:00
format_detection.py	Simplify dataset check to 2-tier, improve multimodal detection, auto-set trainOnCompletions, recheck dataset on reload	2026-02-19 11:25:54 +00:00
model_mappings.py	Add GLM, Qwen3 MoE, TinyQwen3 MoE, and Ministral 3 VL model defaults and GLM train_on_responses_only mapping	2026-02-23 05:51:43 +00:00
vlm_processing.py	Refactor [dataset_utils.py](cci:7://file:///home/support/new-ui-prototype/studio/backend/utils/datasets/dataset_utils.py:0:0-0:0) into focused modules	2026-02-03 14:38:02 +00:00