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AlphaDojo /dojo_sector_symbol_relations Languages: 简体中文 · English dojo_sector_symbol_relations — Stock–Sector Mapping Overview Maps each stock to L1/L2/L3 sector paths with primary and secondary assignments. One row per (ticker, market) pair. Files File Description data.parquet Full stock ↔ sector relations Key Fields Field Description ticker Stock symbol market us, cn, or hk primary JSON object — primary sector path secondary JSON array —… See the full description on the dataset page: https://huggingface.co/datasets/AlphaDojo/dojo_sector_symbol_relations.text10K<n<100K0 likes14k downloads5d agoHugging Facejustintiensmith /SP_Relational_PlacementThis dataset was created using LeRobot. Episode 40 is a duplicate "Place the pink marker to the back of the green block." Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "so_follower", "total_episodes": 51, "total_frames": 40180, "total_tasks": 9, "chunks_size": 1000, "data_files_size_in_mb": 100, "video_files_size_in_mb": 200, "fps": 30, "splits": { "train": "0:51" }, "data_path":… See the full description on the dataset page: https://huggingface.co/datasets/justintiensmith/SP_Relational_Placement.tabularrobotics10K<n<100K0 likes1.1k downloads3mo agoHugging Faceopenbmb /factnet_relations FactNet Relations Dataset Overview The Synset Relations dataset contains rich semantic relationships between FactSynsets, enabling advanced reasoning and cross-lingual fact retrieval. These relations capture hypernymy, causality, temporality, geographic relationships, and other semantic connections between facts. Paper: https://arxiv.org/abs/2602.03417 Github: https://github.com/yl-shen/factnet Dataset: https://huggingface.co/collections/openbmb/factnet… See the full description on the dataset page: https://huggingface.co/datasets/openbmb/factnet_relations.3 likes837 downloads5mo agoHugging FacehandsomeWilliam /Relation252K Relation252K Dataset Paper | Github This dataset, Relation252K, contains 218 diverse image editing tasks used to evaluate the RelationAdapter model presented in the paper "RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers". The dataset consists of source-target image pairs designed to test the model's ability to capture and apply content-aware visual transformations. Dataset Structure The paired dataset is stored in a .jsonl file.… See the full description on the dataset page: https://huggingface.co/datasets/handsomeWilliam/Relation252K.imageimage-to-image10K<n<100K7 likes528 downloads11mo agoHugging FaceFancylalala /RelationRecognitionvideo1K<n<10K0 likes441 downloads1y agoHugging Facelaxmikant55 /Relationship_charttext1M<n<10M0 likes409 downloads6mo agoHugging Face