data/tool-query/test.jsonl

{"id": 0, "goal": "How many mutual collaborators do Florian Kirchbuchner and Fadi Boutros share? Please give me a numerical value as an answer.", "difficulty": "easy", "subgoals": "Subgoal 1: AuthorNet is loaded.\nSubgoal 2: ['Fadi Boutros', 'Naser Damer', 'Arjan Kuijper', 'Meiling Fang']\nSubgoal 3: ['Naser Damer', 'Florian Kirchbuchner', 'Arjan Kuijper']\nSubgoal 4: 2"}
{"id": 1, "goal": "Which paper by Lazhar Labiod has the most citations in the DBLP citation network?", "difficulty": "hard", "subgoals": "Subgoal 1: PaperNet is loaded.\nSubgoal 2: AuthorNet is loaded.\nSubgoal 3: ['Mohamed Nadif', 'Chakib Fettal']\nSubgoal 4: {'collaborative_papers': ['TensorClus: A python library for tensor (Co)-clustering', 'Efficient Graph Convolution for Joint Node Representation Learning and Clustering']}\nSubgoal 5: {'collaborative_papers': ['Efficient Graph Convolution for Joint Node Representation Learning and Clustering']}\nSubgoal 6: {'authors': ['Lazhar Labiod', 'Mohamed Nadif'], 'year': 2022, 'venue': 'Neurocomputing', 'n_citation': 0, 'keywords': ['Tensors', '(Co)-clustering', 'Multiple graphs', 'Tensor decomposition'], 'doc_type': 'Journal'}\nSubgoal 7: {'authors': ['Chakib Fettal', 'Lazhar Labiod', 'Mohamed Nadif'], 'year': 2022, 'venue': 'WSDM', 'n_citation': 4, 'keywords': ['Graph Convolutional Networks', 'Node Embedding', 'Node Clustering'], 'doc_type': 'Conference'}\nSubgoal 8: Efficient Graph Convolution for Joint Node Representation Learning and Clustering"}
{"id": 2, "goal": "Who are the co-authors with whom Lazhar Labiod has written the paper that has the highest number of citations in the DBLP citation network? Please answer in the form of a list ['author1', 'author2', ...].", "difficulty": "hard", "subgoals": "Subgoal 1: PaperNet is loaded.\nSubgoal 2: AuthorNet is loaded.\nSubgoal 3: ['Mohamed Nadif', 'Chakib Fettal']\nSubgoal 4: {'collaborative_papers': ['TensorClus: A python library for tensor (Co)-clustering', 'Efficient Graph Convolution for Joint Node Representation Learning and Clustering']}\nSubgoal 5: {'collaborative_papers': ['Efficient Graph Convolution for Joint Node Representation Learning and Clustering']}\nSubgoal 6: {'authors': ['Lazhar Labiod', 'Mohamed Nadif'], 'year': 2022, 'venue': 'Neurocomputing', 'n_citation': 0, 'keywords': ['Tensors', '(Co)-clustering', 'Multiple graphs', 'Tensor decomposition'], 'doc_type': 'Journal'}\nSubgoal 7: {'authors': ['Chakib Fettal', 'Lazhar Labiod', 'Mohamed Nadif'], 'year': 2022, 'venue': 'WSDM', 'n_citation': 4, 'keywords': ['Graph Convolutional Networks', 'Node Embedding', 'Node Clustering'], 'doc_type': 'Conference'}\nSubgoal 8: ['Chakib Fettal', 'Mohamed Nadif']"}
{"id": 3, "goal": "In the DBLP citation network, which venue has the most publications by Andrea Omicini?", "difficulty": "hard", "subgoals": "Subgoal 1: PaperNet is loaded.\nSubgoal 2: AuthorNet is loaded.\nSubgoal 3: ['Federico Sabbatini', 'Andrea Agiollo', 'Magnini Matteo']\nSubgoal 4: {'collaborative_papers': ['Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments', 'Semantic Web-Based Interoperability for Intelligent Agents with PSyKE']}\nSubgoal 5: {'collaborative_papers': ['GNN2GNN: Graph neural networks to generate neural networks.']}\nSubgoal 6: {'collaborative_papers': ['On the Design of PSyKI: A Platform for Symbolic Knowledge Injection into Sub-symbolic Predictors']}\nSubgoal 7: {'authors': ['Magnini Matteo', 'Andrea Omicini'], 'year': 2022, 'venue': 'EXPLAINABLE AND TRANSPARENT AI AND MULTI-AGENT SYSTEMS, EXTRAAMAS 2022', 'n_citation': 0, 'keywords': ['Symbolic knowledge injection', 'XAI', 'Neural networks', 'PSyKI'], 'doc_type': 'Conference'}\nSubgoal 8: {'authors': ['Federico Sabbatini', 'Andrea Omicini'], 'year': 2022, 'venue': 'EXPLAINABLE AND TRANSPARENT AI AND MULTI-AGENT SYSTEMS, EXTRAAMAS 2022', 'n_citation': 0, 'keywords': ['Explainable AI', 'Knowledge extraction', 'Semantic Web', 'Intelligent agents', 'PSyKE'], 'doc_type': 'Conference'}\nSubgoal 9: {'authors': ['Federico Sabbatini', 'Andrea Omicini'], 'year': 2022, 'venue': 'INTELLIGENZA ARTIFICIALE', 'n_citation': 0, 'keywords': ['Explainable AI', 'knowledge extraction', 'interpretable prediction', 'PSyKE'], 'doc_type': 'Journal'}\nSubgoal 10: {'authors': ['Andrea Agiollo', 'Andrea Omicini'], 'year': 2022, 'venue': 'International Conference on Uncertainty in Artificial Intelligence', 'n_citation': 0, 'keywords': [], 'doc_type': 'Conference'}\nSubgoal 11: EXPLAINABLE AND TRANSPARENT AI AND MULTI-AGENT SYSTEMS, EXTRAAMAS 2022"}
{"id": 4, "goal": "How many citations do papers co-authored by Florian Kirchbuchner and Fadi Boutros have in the DBLP citation network? Please give me a numerical value as an answer.", "difficulty": "hard", "subgoals": "Subgoal 1: PaperNet is loaded.\nSubgoal 2: AuthorNet is loaded.\nSubgoal 3: {'collaborative_papers': ['PocketNet: Extreme Lightweight Face Recognition Network Using Neural Architecture Search and Multistep Knowledge Distillation', 'ElasticFace: Elastic Margin Loss for Deep Face Recognition.', 'Template-Driven Knowledge Distillation for Compact and Accurate Periocular Biometrics Deep-Learning Models', 'Self-restrained triplet loss for accurate masked face recognition']}\nSubgoal 4: {'authors': ['Fadi Boutros', 'Naser Damer', 'Florian Kirchbuchner', 'Arjan Kuijper'], 'year': 2022, 'venue': 'IEEE ACCESS', 'n_citation': 0, 'keywords': ['Computer architecture', 'Microprocessors', 'Training', 'Task analysis', 'Network architecture', 'Computational modeling', 'Architecture', 'Computer vision', 'deep learning', 'face recognition'], 'doc_type': 'Journal'}\nSubgoal 5: {'authors': ['Fadi Boutros', 'Naser Damer', 'Florian Kirchbuchner', 'Arjan Kuijper'], 'year': 2022, 'venue': 'IEEE Conference on Computer Vision and Pattern Recognition', 'n_citation': 43, 'keywords': [], 'doc_type': 'Conference'}\nSubgoal 6: {'authors': ['Fadi Boutros', 'Naser Damer', 'Florian Kirchbuchner', 'Arjan Kuijper'], 'year': 2022, 'venue': 'SENSORS', 'n_citation': 0, 'keywords': ['biometrics', 'knowledge distillation', 'periocular verification'], 'doc_type': 'Journal'}\nSubgoal 7: {'authors': ['Fadi Boutros', 'Naser Damer', 'Florian Kirchbuchner', 'Arjan Kuijper'], 'year': 2022, 'venue': 'Pattern Recognition', 'n_citation': 8, 'keywords': ['COVID-19', 'Biometric recognition', 'Identity verification', 'Masked face recognition'], 'doc_type': 'Journal'}\nSubgoal 8: 51"}
{"id": 5, "goal": "Who has the most collaborations with Lazhar Labiod in the DBLP citation network?", "difficulty": "easy", "subgoals": "Subgoal 1: AuthorNet is loaded.\nSubgoal 2: ['Mohamed Nadif', 'Chakib Fettal']\nSubgoal 3: {'collaborative_papers': ['TensorClus: A python library for tensor (Co)-clustering', 'Efficient Graph Convolution for Joint Node Representation Learning and Clustering']}\nSubgoal 4: {'collaborative_papers': ['Efficient Graph Convolution for Joint Node Representation Learning and Clustering']}\nSubgoal 5: Mohamed Nadif"}
{"id": 6, "goal": "Which organizations were involved in the research titled 'mToFNet: Object Anti-Spoofing with Mobile Time-of-Flight Data'? Please answer in the form of a list ['org1', 'org2', ...]", "difficulty": "hard", "subgoals": "Subgoal 1: PaperNet is loaded.\nSubgoal 2: AuthorNet is loaded.\nSubgoal 3: {'authors': ['Doyeon Kim_2', 'Jongwon Choi'], 'year': 2022, 'venue': '2022 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2022)', 'n_citation': 0, 'keywords': [], 'doc_type': 'Conference'}\nSubgoal 4: {'name': 'Doyeon Kim_2', 'org': 'Line+'}\nSubgoal 5: {'name': 'Jongwon Choi', 'org': 'Chung-Ang University'}\nSubgoal 6: ['Chung-Ang University', 'Line+']"}
{"id": 7, "goal": "Which keyword does Correia Miguel emphasize most frequently in the DBLP citation network?", "difficulty": "hard", "subgoals": "Subgoal 1: PaperNet is loaded.\nSubgoal 2: AuthorNet is loaded.\nSubgoal 3: ['Medeiros Ib\u00e9ria', 'Luis Rodrigues', 'Jo\u00e3o Manuel R. S. Tavares']\nSubgoal 4: {'collaborative_papers': ['Statically Detecting Vulnerabilities by Processing Programming Languages as Natural Languages']}\nSubgoal 5: {'collaborative_papers': ['Omega: A Secure Event Ordering Service for the Edge']}\nSubgoal 6: {'collaborative_papers': ['SRX-Secure Data Backup and Recovery for SGX Applications']}\nSubgoal 7: {'authors': ['Jo\u00e3o Manuel R. S. Tavares', 'Correia Miguel'], 'year': 2022, 'venue': 'IEEE ACCESS', 'n_citation': 0, 'keywords': ['Codes', 'Passwords', 'Cryptography', 'Software', 'Libraries', 'Encryption', 'Seals', 'Intel SGX', 'sealing', 'backup', 'recovery', 'TEE'], 'doc_type': 'Journal'}\nSubgoal 8: {'authors': ['Correia Miguel', 'Luis Rodrigues'], 'year': 2022, 'venue': 'IEEE Transactions on Dependable and Secure Computing', 'n_citation': 12, 'keywords': ['Fog computing', 'edge computing', 'security', 'IoT', 'Intel SGX'], 'doc_type': 'Journal'}\nSubgoal 9: {'authors': ['Medeiros Ib\u00e9ria', 'Correia Miguel'], 'year': 2022, 'venue': 'IEEE Transactions on Reliability', 'n_citation': 4, 'keywords': ['Natural language processing', 'sequence models', 'software security', 'static analysis', 'vulnerabilities', 'web application'], 'doc_type': 'Journal'}\nSubgoal 10: Intel SGX"}
{"id": 8, "goal": "Who wrote the paper titled 'Density Ratio Estimation via Infinitesimal Classification'? Please answer in the form of a list ['author1', 'author2', ...].", "difficulty": "easy", "subgoals": "Subgoal 1: PaperNet is loaded.\nSubgoal 2: {'authors': ['Chenlin Meng', 'Yang Song_2', 'Stefano Ermon'], 'year': 2022, 'venue': 'INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 151', 'n_citation': 0, 'keywords': [], 'doc_type': 'Conference'}\nSubgoal 3: ['Chenlin Meng', 'Stefano Ermon', 'Yang Song_2']"}
{"id": 9, "goal": "Do the authors of 'Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting._2' and 'Evolutionary Clustering of Moving Objects' have any overlap? Please respond with 'Yes' or 'No'.", "difficulty": "easy", "subgoals": "Subgoal 1: PaperNet is loaded.\nSubgoal 2: {'authors': ['Zhao Zhang', 'Wei Wei_5', 'Fei Wang_16', 'Yongjun Xu_2', 'Xin Cao', 'Jensen Christian S.'], 'year': 2022, 'venue': 'Proceedings of the VLDB Endowment', 'n_citation': 0, 'keywords': [], 'doc_type': 'Journal'}\nSubgoal 3: {'authors': ['Lu Chen', 'Jensen Christian S.', 'Pedersen Torben Bach', 'Yunjun Gao'], 'year': 2022, 'venue': '2022 IEEE 38TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2022)', 'n_citation': 0, 'keywords': ['evolutionary clustering', 'moving objects', 'temporal', 'smoothness'], 'doc_type': 'Conference'}\nSubgoal 4: Yes"}
{"id": 10, "goal": "Which organizations is Yilun Zhou affiliated with?", "difficulty": "easy", "subgoals": "Subgoal 1: AuthorNet is loaded.\nSubgoal 2: {'name': 'Yilun Zhou', 'org': 'MIT'}\nSubgoal 3: MIT"}
{"id": 11, "goal": "Is Tonghan Wang_2 affiliated with the same organization as Zeyang Zhang? Please answer 'Yes' or 'No'.", "difficulty": "easy", "subgoals": "Subgoal 1: AuthorNet is loaded.\nSubgoal 2: {'name': 'Tonghan Wang_2', 'org': 'Tsinghua University'}\nSubgoal 3: {'name': 'Zeyang Zhang', 'org': 'Tsinghua University'}\nSubgoal 4: Yes"}
{"id": 12, "goal": "How many papers within the DBLP citation network reference the work titled 'Joint extraction of entities and overlapping relations by improved graph convolutional networks'? Please give me a numerical value as an answer.", "difficulty": "easy", "subgoals": "Subgoal 1: PaperNet is loaded.\nSubgoal 2: {'authors': ['Qi Sun_5', 'Kun Zhang_5', 'Laishui Lv', 'Xun Li_2'], 'year': 2022, 'venue': 'Applied Intelligence', 'n_citation': 8, 'keywords': ['GCN', 'Multi-task learning', 'Attention mechanism', 'Overlapping relations'], 'doc_type': 'Journal'}\nSubgoal 3: 8"}
{"id": 13, "goal": "Which paper has received more citations: 'Stability and Risk Bounds of Iterative Hard Thresholding' or 'Compressive Wideband Spectrum Sensing and Signal Recovery With Unknown Multipath Channels'?", "difficulty": "easy", "subgoals": "Subgoal 1: PaperNet is loaded.\nSubgoal 2: {'authors': ['Xiaotong Yuan', 'Ping Li_10'], 'year': 2022, 'venue': 'IEEE Transactions on Information Theory', 'n_citation': 5, 'keywords': ['Statistical learning', 'Iterative Hard Thresholding (IHT)', 'risk bounds', 'sparsity'], 'doc_type': 'Journal'}\nSubgoal 3: {'authors': ['Hongwei Wang_4', 'Jun Fang_2', 'Huiping Duan_2', 'Hongbin Li'], 'year': 2022, 'venue': 'IEEE Transactions on Wireless Communications', 'n_citation': 2, 'keywords': ['Wideband spectrum sensing', 'CANDECOMP/PARAFAC decomposition', 'sub-Nyquist sampling', 'multipath propagation'], 'doc_type': 'Journal'}\nSubgoal 4: Stability and Risk Bounds of Iterative Hard Thresholding"}
{"id": 14, "goal": "Which paper was published first: 'Topology optimization of structures undergoing brittle fracture' or 'Classification Model for IDS Using Auto Cryptographic Denoising Technique'?", "difficulty": "easy", "subgoals": "Subgoal 1: PaperNet is loaded.\nSubgoal 2: {'authors': ['Gregoire Allaire'], 'year': 2022, 'venue': 'Journal of Computational Physics', 'n_citation': 4, 'keywords': ['Topology optimization', 'Level-set method', 'Remeshing', 'Gradient damage model'], 'doc_type': 'Journal'}\nSubgoal 3: {'authors': ['N. Karthikeyan'], 'year': 2023, 'venue': 'COMPUTER SYSTEMS SCIENCE AND ENGINEERING', 'n_citation': 0, 'keywords': ['Auto cryptographic denoising (ACD)', 'classifier', 'intrusion detection system (IDS)', 'optimizer', 'performance measures'], 'doc_type': 'Journal'}\nSubgoal 4: Topology optimization of structures undergoing brittle fracture"}
{"id": 15, "goal": "Is the article 'Road Traffic Forecast Based on Meteorological Information through Deep Learning Methods' from the same publication venue as 'Dynamic Selection Techniques for Detecting GPS Spoofing Attacks on UAVs'? Please answer 'Yes' or 'No'.", "difficulty": "easy", "subgoals": "Subgoal 1: PaperNet is loaded.\nSubgoal 2: {'authors': ['Jo\u00e3o Ferreira', 'Jo\u00e3o Almeida', 'Pedro F. C. Goncalves'], 'year': 2022, 'venue': 'SENSORS', 'n_citation': 0, 'keywords': ['weather-based traffic prediction', 'highway traffic', 'deep learning', 'method comparison'], 'doc_type': 'Journal'}\nSubgoal 3: {'authors': [], 'year': 2022, 'venue': 'SENSORS', 'n_citation': 0, 'keywords': ['unmanned aerial vehicles', 'global positioning system', 'GPS spoofing attacks', 'detection techniques', 'machine learning', 'dynamic selection', 'hyperparameter tuning'], 'doc_type': 'Journal'}\nSubgoal 4: Yes"}
{"id": 16, "goal": "Are the articles 'Road Traffic Forecast Based on Meteorological Information through Deep Learning Methods' and 'Dynamic Selection Techniques for Detecting GPS Spoofing Attacks on UAVs' published in the same venue and in the same year? Please answer 'Yes' or 'No'.", "difficulty": "easy", "subgoals": "Subgoal 1: PaperNet is loaded.\nSubgoal 2: {'authors': ['Jo\u00e3o Ferreira', 'Jo\u00e3o Almeida', 'Pedro F. C. Goncalves'], 'year': 2022, 'venue': 'SENSORS', 'n_citation': 0, 'keywords': ['weather-based traffic prediction', 'highway traffic', 'deep learning', 'method comparison'], 'doc_type': 'Journal'}\nSubgoal 3: {'authors': [], 'year': 2022, 'venue': 'SENSORS', 'n_citation': 0, 'keywords': ['unmanned aerial vehicles', 'global positioning system', 'GPS spoofing attacks', 'detection techniques', 'machine learning', 'dynamic selection', 'hyperparameter tuning'], 'doc_type': 'Journal'}\nSubgoal 4: Yes"}
{"id": 17, "goal": "Are 'Sliding Mode FTC of an Octoplane UAV transition mode' and 'Panoptic Visual Analytics of Eye Tracking Data' both conference papers? Please answer 'Yes' or 'No'.", "difficulty": "easy", "subgoals": "Subgoal 1: PaperNet is loaded.\nSubgoal 2: {'authors': [], 'year': 2022, 'venue': \"2022 8TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT'22)\", 'n_citation': 0, 'keywords': [], 'doc_type': 'Conference'}\nSubgoal 3: {'authors': [], 'year': 2022, 'venue': 'PROCEEDINGS OF THE 17TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (IVAPP), VOL 3', 'n_citation': 0, 'keywords': ['Eye Tracking', 'Visualization', 'Semantic Areas of Interest', 'Panoptic Segmentation'], 'doc_type': 'Conference'}\nSubgoal 4: Yes"}
{"id": 18, "goal": "Who are the collaborators of Jay Leverett from the same organization as him? Please provide the names in the following format: ['author1', 'author2', ...]", "difficulty": "hard", "subgoals": "Subgoal 1: AuthorNet is loaded.\nSubgoal 2: {'name': 'Jay Leverett', 'org': 'Meta'}\nSubgoal 3: ['Justin Theiss', 'Daeil Kim', 'Aayush Prakash']\nSubgoal 4: {'name': 'Justin Theiss', 'org': 'University of California, Berkeley'}\nSubgoal 5: {'name': 'Daeil Kim', 'org': 'Meta'}\nSubgoal 6: {'name': 'Aayush Prakash', 'org': 'Meta'}\nSubgoal 7: ['Aayush Prakash', 'Daeil Kim']"}
{"id": 19, "goal": "Of Fred Zhang's collaborators, who are from different organizations than Fred Zhang? Please provide a list in the format: ['author1', 'author2', ...].", "difficulty": "hard", "subgoals": "Subgoal 1: AuthorNet is loaded.\nSubgoal 2: {'name': 'Fred Zhang', 'org': 'UC Berkeley'}\nSubgoal 3: ['Justin Y. Chen', 'Sandeep Silwal_3', 'Ali Vakilian']\nSubgoal 4: {'name': 'Justin Y. Chen', 'org': 'MIT'}\nSubgoal 5: {'name': 'Sandeep Silwal_3', 'org': 'MIT'}\nSubgoal 6: {'name': 'Ali Vakilian', 'org': 'Toyota Technological Institute at Chicago'}\nSubgoal 7: ['Ali Vakilian', 'Justin Y. Chen', 'Sandeep Silwal_3']"}
{"id": 20, "goal": "Where was the director of Minions: The Rise of Gru born?", "difficulty": "easy", "subgoals": "Subgoal 1: [{'id': 438148, 'title': 'Minions: The Rise of Gru'}]\nSubgoal 2: {'crew': [{'id': 5720, 'name': 'Chris Meledandri', 'job': 'Producer'}, {'id': 8023, 'name': 'Kyle Balda', 'job': 'Director'}, {'id': 65674, 'name': 'Janet Healy', 'job': 'Producer'}, {'id': 124748, 'name': 'Chris Renaud', 'job': 'Producer'}, {'id': 7963, 'name': 'Carter Goodrich', 'job': 'Character Designer'}, {'id': 94028, 'name': 'Robert Taylor', 'job': 'Associate Producer'}, {'id': 32715, 'name': 'Diana Ross', 'job': 'Songs'}, {'id': 52361, 'name': 'Cinco Paul', 'job': 'Characters'}, {'id': 59706, 'name': 'Heitor Pereira', 'job': 'Original Music Composer'}, {'id': 71536, 'name': 'Matthew Wood', 'job': 'ADR Mixer'}]}\nSubgoal 3: {'name': 'Kyle Balda', 'birthday': '1971-03-09', 'place_of_birth': 'Tucson, Arizona, USA'}\nSubgoal 4: Tucson, Arizona, USA"}
{"id": 21, "goal": "Is the director of The Dark Knight the same as the director of Spider-Man: Across the Spider-Verse\uff1fAnswer Yes or No.", "difficulty": "hard", "subgoals": "Subgoal 1: [{'id': 155, 'title': 'The Dark Knight'}]\nSubgoal 2: {'crew': [{'id': 282, 'name': 'Charles Roven', 'job': 'Producer'}, {'id': 525, 'name': 'Christopher Nolan', 'job': 'Director'}, {'id': 525, 'name': 'Christopher Nolan', 'job': 'Producer'}, {'id': 556, 'name': 'Emma Thomas', 'job': 'Producer'}, {'id': 20643, 'name': 'Lorne Orleans', 'job': 'Producer'}, {'id': 1113, 'name': 'Lucinda Syson', 'job': 'Casting'}, {'id': 947, 'name': 'Hans Zimmer', 'job': 'Original Music Composer'}, {'id': 527, 'name': 'Jonathan Nolan', 'job': 'Screenplay'}, {'id': 559, 'name': 'Wally Pfister', 'job': 'Director of Photography'}, {'id': 561, 'name': 'John Papsidera', 'job': 'Casting'}]}\nSubgoal 3: [{'id': 569094, 'title': 'Spider-Man: Across the Spider-Verse'}]\nSubgoal 4: {'crew': [{'id': 7626, 'name': 'Avi Arad', 'job': 'Producer'}, {'id': 35666, 'name': 'Christina Steinberg', 'job': 'Producer'}, {'id': 57264, 'name': 'Dave Callaham', 'job': 'Writer'}, {'id': 107446, 'name': 'Phil Lord', 'job': 'Producer'}, {'id': 107446, 'name': 'Phil Lord', 'job': 'Writer'}, {'id': 89596, 'name': 'Joaquim Dos Santos', 'job': 'Director'}, {'id': 155267, 'name': 'Christopher Miller', 'job': 'Producer'}, {'id': 155267, 'name': 'Christopher Miller', 'job': 'Writer'}, {'id': 1046497, 'name': 'Justin K. Thompson', 'job': 'Director'}, {'id': 1425616, 'name': 'Amy Pascal', 'job': 'Producer'}, {'id': 2451598, 'name': 'Kemp Powers', 'job': 'Director'}]}\nSubgoal 5: No"}
{"id": 22, "goal": "Avatar versus Forrest Gump, which has a higher rating? ", "difficulty": "hard", "subgoals": "Subgoal 1: [{'id': 19995, 'title': 'Avatar'}]\nSubgoal 2: {'title': 'Avatar'}\nSubgoal 3: [{'id': 13, 'title': 'Forrest Gump'}]\nSubgoal 4: {'title': 'Forrest Gump'}\nSubgoal 5: Forrest Gump"}
{"id": 23, "goal": "Did the movie 'How do you know' make a profit? Answer Yes or No.", "difficulty": "easy", "subgoals": "Subgoal 1: [{'id': 42888, 'title': 'How Do You Know'}]\nSubgoal 2: {'title': 'How Do You Know'}\nSubgoal 3: No"}
{"id": 24, "goal": "In 'The Dark Knight' and 'The Pursuit of Happyness', which of the two movies had higher earnings?", "difficulty": "hard", "subgoals": "Subgoal 1: [{'id': 155, 'title': 'The Dark Knight'}]\nSubgoal 2: {'title': 'The Dark Knight'}\nSubgoal 3: [{'id': 1402, 'title': 'The Pursuit of Happyness'}]\nSubgoal 4: {'title': 'The Pursuit of Happyness'}\nSubgoal 5: The Dark Knight"}
{"id": 25, "goal": "Does Top Gun: Maverick and Black Panther: Wakanda Forever share a common genre ? Answer Yes or No.", "difficulty": "hard", "subgoals": "Subgoal 1: [{'id': 361743, 'title': 'Top Gun: Maverick'}]\nSubgoal 2: {'title': 'Top Gun: Maverick'}\nSubgoal 3: [{'id': 505642, 'title': 'Black Panther: Wakanda Forever'}]\nSubgoal 4: {'title': 'Black Panther: Wakanda Forever'}\nSubgoal 5: Yes"}
{"id": 26, "goal": "What character did Cate Blanchett play in Don't Look Up ?", "difficulty": "easy", "subgoals": "Subgoal 1: [{'id': 646380, 'title': \"Don't Look Up\"}]\nSubgoal 2: {'cast': [{'id': 72129, 'name': 'Jennifer Lawrence', 'character': 'Kate Dibiasky'}, {'id': 6193, 'name': 'Leonardo DiCaprio', 'character': 'Dr. Randall Mindy'}, {'id': 5064, 'name': 'Meryl Streep', 'character': 'President Orlean'}, {'id': 1281250, 'name': 'Rob Morgan', 'character': 'Dr. Teddy Oglethorpe'}, {'id': 21007, 'name': 'Jonah Hill', 'character': 'Jason Orlean'}, {'id': 112, 'name': 'Cate Blanchett', 'character': 'Brie Evantee'}, {'id': 40900, 'name': 'Mark Rylance', 'character': 'Peter Isherwell'}, {'id': 80602, 'name': 'Tyler Perry', 'character': 'Jack Bremmer'}, {'id': 1190668, 'name': 'Timoth\u00e9e Chalamet', 'character': 'Yule'}, {'id': 2372, 'name': 'Ron Perlman', 'character': 'Benedict Drask'}]}\nSubgoal 3: Brie Evantee"}
{"id": 27, "goal": "The actress who palyed Evelyn Wang in \"Everything Everywhere All at Once\", what role did she paly in \"Crouching Tiger, Hidden Dragon\"?", "difficulty": "hard", "subgoals": "Subgoal 1: [{'id': 545611, 'title': 'Everything Everywhere All at Once'}]\nSubgoal 2: {'cast': [{'id': 1620, 'name': 'Michelle Yeoh', 'character': 'Evelyn Wang'}, {'id': 1381186, 'name': 'Stephanie Hsu', 'character': 'Joy Wang / Jobu Tupaki'}, {'id': 690, 'name': 'Ke Huy Quan', 'character': 'Waymond Wang'}, {'id': 20904, 'name': 'James Hong', 'character': 'Gong Gong'}, {'id': 8944, 'name': 'Jamie Lee Curtis', 'character': 'Deirdre Beaubeirdre'}, {'id': 1071151, 'name': 'Tallie Medel', 'character': 'Becky Sregor'}, {'id': 213001, 'name': 'Jenny Slate', 'character': 'Big Nose'}, {'id': 232499, 'name': 'Harry Shum Jr.', 'character': 'Chad'}, {'id': 1367122, 'name': 'Biff Wiff', 'character': 'Rick'}, {'id': 1375002, 'name': 'Sunita Mani', 'character': 'TV Musical - Queen'}]}\nSubgoal 3: [{'id': 146, 'title': 'Crouching Tiger, Hidden Dragon'}]\nSubgoal 4: {'cast': [{'id': 1619, 'name': 'Chow Yun-fat', 'character': 'Master Li Mu Bai'}, {'id': 1620, 'name': 'Michelle Yeoh', 'character': 'Yu Shu Lien'}, {'id': 1339, 'name': 'Zhang Ziyi', 'character': 'Jen Yu'}, {'id': 1622, 'name': 'Chang Chen', 'character': 'Lo \"Dark Cloud\"'}, {'id': 1623, 'name': 'Sihung Lung', 'character': 'Sir Te'}, {'id': 1624, 'name': 'Cheng Pei-pei', 'character': 'Jade Fox'}, {'id': 1625, 'name': 'Li Fazeng', 'character': 'Governor Yu'}, {'id': 1626, 'name': \"Gao Xi'an\", 'character': 'Bo'}, {'id': 1627, 'name': 'Hai Yan', 'character': 'Madame Yu'}, {'id': 1628, 'name': 'Wang Deming', 'character': 'Police Inspector Tsai'}]}\nSubgoal 5: Yu Shu Lien"}
{"id": 28, "goal": "Which movie was released earlier, Turning Red or Everything Everywhere All at Once?", "difficulty": "hard", "subgoals": "Subgoal 1: [{'id': 508947, 'title': 'Turning Red'}]\nSubgoal 2: {'title': 'Turning Red'}\nSubgoal 3: [{'id': 545611, 'title': 'Everything Everywhere All at Once'}]\nSubgoal 4: {'title': 'Everything Everywhere All at Once'}\nSubgoal 5: Turning Red"}
{"id": 29, "goal": "Is Black Panther: Wakanda Forever a movie produced by Marvel Studios? Answer Yes or No.", "difficulty": "easy", "subgoals": "Subgoal 1: [{'id': 505642, 'title': 'Black Panther: Wakanda Forever'}]\nSubgoal 2: {'production_companies': [{'id': 420, 'logo_path': '/hUzeosd33nzE5MCNsZxCGEKTXaQ.png', 'name': 'Marvel Studios', 'origin_country': 'US'}]}\nSubgoal 3: Yes"}
{"id": 30, "goal": "Is the movie 'Disenchanted' an Japanese film? Answer Yes or No.", "difficulty": "easy", "subgoals": "Subgoal 1: [{'id': 338958, 'title': 'Disenchanted'}]\nSubgoal 2: {'production_countries': [{'iso_3166_1': 'US', 'name': 'United States of America'}]}\nSubgoal 3: No"}
{"id": 31, "goal": "Are 'Disenchanted' and 'Lighting Up the Stars' movies from the same country? Answer Yes or No.", "difficulty": "hard", "subgoals": "Subgoal 1: [{'id': 338958, 'title': 'Disenchanted'}]\nSubgoal 2: {'production_countries': [{'iso_3166_1': 'US', 'name': 'United States of America'}]}\nSubgoal 3: [{'id': 945664, 'title': 'Lighting Up the Stars'}]\nSubgoal 4: {'production_countries': [{'iso_3166_1': 'CN', 'name': 'China'}]}\nSubgoal 5: No"}
{"id": 32, "goal": "What is the television debut directing of the director of 'Babylon'?", "difficulty": "easy", "subgoals": "Subgoal 1: [{'id': 615777, 'title': 'Babylon'}]\nSubgoal 2: {'crew': [{'id': 23485, 'name': 'Marc Platt', 'job': 'Producer'}, {'id': 136495, 'name': 'Damien Chazelle', 'job': 'Director'}, {'id': 136495, 'name': 'Damien Chazelle', 'job': 'Writer'}, {'id': 1501297, 'name': 'Matthew Plouffe', 'job': 'Producer'}, {'id': 1634328, 'name': 'Olivia Hamilton', 'job': 'Producer'}, {'id': 6410, 'name': 'Francine Maisler', 'job': 'Casting'}, {'id': 2219, 'name': 'Tobey Maguire', 'job': 'Executive Producer'}, {'id': 6040, 'name': 'Wyck Godfrey', 'job': 'Executive Producer'}, {'id': 7418, 'name': 'Mary Zophres', 'job': 'Costume Design'}, {'id': 35546, 'name': 'Chris Palermo', 'job': 'Stunt Driver'}]}\nSubgoal 3: {'name': 'Damien Chazelle', 'birthday': '1985-01-19', 'place_of_birth': 'Providence, Rhode Island, USA'}\nSubgoal 4: The Eddy"}
{"id": 33, "goal": "Which year did the director of the movie 'Glass Onion: A Knives Out Mystery' win the America Award for Outstanding Directing \u2013 Drama Series?", "difficulty": "easy", "subgoals": "Subgoal 1: [{'id': 661374, 'title': 'Glass Onion: A Knives Out Mystery'}]\nSubgoal 2: {'crew': [{'id': 67367, 'name': 'Rian Johnson', 'job': 'Director'}, {'id': 67367, 'name': 'Rian Johnson', 'job': 'Producer'}, {'id': 67367, 'name': 'Rian Johnson', 'job': 'Writer'}, {'id': 60047, 'name': 'Ram Bergman', 'job': 'Producer'}, {'id': 1226, 'name': 'Rick Heinrichs', 'job': 'Production Design'}, {'id': 553, 'name': 'John Dexter', 'job': 'Art Direction'}, {'id': 5914, 'name': 'Mary Vernieu', 'job': 'Casting'}, {'id': 4844, 'name': 'Tom Karnowski', 'job': 'Executive Producer'}, {'id': 4844, 'name': 'Tom Karnowski', 'job': 'Unit Production Manager'}, {'id': 7784, 'name': 'Bob Ducsay', 'job': 'Editor'}]}\nSubgoal 3: {'name': 'Rian Johnson', 'birthday': '1973-12-17', 'place_of_birth': 'Silver Spring, Maryland, USA'}\nSubgoal 4: 2013"}
{"id": 34, "goal": "May I ask, in which movie did Brad Pitt first gain attention?", "difficulty": "easy", "subgoals": "Subgoal 1: [{'id': 287, 'name': 'Brad Pitt'}]\nSubgoal 2: {'name': 'Brad Pitt', 'birthday': '1963-12-18', 'place_of_birth': 'Shawnee, Oklahoma, USA'}\nSubgoal 3: Thelma & Louise"}
{"id": 35, "goal": "Who is the director of the film that Brad Pitt first gain attention?", "difficulty": "hard", "subgoals": "Subgoal 1: [{'id': 287, 'name': 'Brad Pitt'}]\nSubgoal 2: {'name': 'Brad Pitt', 'birthday': '1963-12-18', 'place_of_birth': 'Shawnee, Oklahoma, USA'}\nSubgoal 3: [{'id': 1541, 'title': 'Thelma & Louise'}]\nSubgoal 4: {'crew': [{'id': 578, 'name': 'Ridley Scott', 'job': 'Director'}, {'id': 578, 'name': 'Ridley Scott', 'job': 'Producer'}, {'id': 17398, 'name': 'Mimi Polk Gitlin', 'job': 'Producer'}, {'id': 947, 'name': 'Hans Zimmer', 'job': 'Original Music Composer'}, {'id': 949, 'name': 'Louis DiGiaimo', 'job': 'Casting'}, {'id': 13677, 'name': 'Anne H. Ahrens', 'job': 'Set Decoration'}, {'id': 5710, 'name': 'Elizabeth McBride', 'job': 'Costume Design'}, {'id': 5712, 'name': 'Laura Perlman', 'job': 'Music Editor'}, {'id': 7783, 'name': 'Adrian Biddle', 'job': 'Director of Photography'}, {'id': 7849, 'name': 'Lisa Dean', 'job': 'Art Direction'}]}\nSubgoal 5: Ridley Scott"}
{"id": 36, "goal": "In the movie for which Michelle Yeoh won the Oscar for Best Actress, what role did Jamie Lee Curtis play?", "difficulty": "hard", "subgoals": "Subgoal 1: [{'id': 1620, 'name': 'Michelle Yeoh'}]\nSubgoal 2: {'name': 'Michelle Yeoh', 'birthday': '1962-08-06', 'place_of_birth': 'Ipoh, Perak, Malaysia'}\nSubgoal 3: [{'id': 545611, 'title': 'Everything Everywhere All at Once'}]\nSubgoal 4: {'cast': [{'id': 1620, 'name': 'Michelle Yeoh', 'character': 'Evelyn Wang'}, {'id': 1381186, 'name': 'Stephanie Hsu', 'character': 'Joy Wang / Jobu Tupaki'}, {'id': 690, 'name': 'Ke Huy Quan', 'character': 'Waymond Wang'}, {'id': 20904, 'name': 'James Hong', 'character': 'Gong Gong'}, {'id': 8944, 'name': 'Jamie Lee Curtis', 'character': 'Deirdre Beaubeirdre'}, {'id': 1071151, 'name': 'Tallie Medel', 'character': 'Becky Sregor'}, {'id': 213001, 'name': 'Jenny Slate', 'character': 'Big Nose'}, {'id': 232499, 'name': 'Harry Shum Jr.', 'character': 'Chad'}, {'id': 1367122, 'name': 'Biff Wiff', 'character': 'Rick'}, {'id': 1375002, 'name': 'Sunita Mani', 'character': 'TV Musical - Queen'}]}\nSubgoal 5: Deirdre Beaubeirdre"}
{"id": 37, "goal": "I am very interested in the actress who plays Wanda Maximoff in Doctor Strange in the Multiverse of Madness. What is her IMDB ID?", "difficulty": "easy", "subgoals": "Subgoal 1: [{'id': 453395, 'title': 'Doctor Strange in the Multiverse of Madness'}]\nSubgoal 2: {'cast': [{'id': 71580, 'name': 'Benedict Cumberbatch', 'character': 'Dr. Stephen Strange / Sinister Strange / Defender Strange'}, {'id': 550843, 'name': 'Elizabeth Olsen', 'character': 'Wanda Maximoff / The Scarlet Witch'}, {'id': 5294, 'name': 'Chiwetel Ejiofor', 'character': 'Baron Karl Mordo'}, {'id': 30082, 'name': 'Benedict Wong', 'character': 'Wong'}, {'id': 1912381, 'name': 'Xochitl Gomez', 'character': 'America Chavez'}, {'id': 1538879, 'name': 'Jett Klyne', 'character': 'Tommy Maximoff'}, {'id': 2047847, 'name': 'Julian Hilliard', 'character': 'Billy Maximoff'}, {'id': 1851642, 'name': 'Sheila Atim', 'character': 'Sara'}, {'id': 2211274, 'name': 'Adam Hugill', 'character': 'Rintrah (voice)'}, {'id': 72873, 'name': 'Michael Stuhlbarg', 'character': \"Dr. Nicodemus 'Nic' West\"}]}\nSubgoal 3: {'imdb_id': 'nm0647634', 'facebook_id': 'OfficiallyElizabethOlsen', 'instagram_id': '', 'twitter_id': None}\nSubgoal 4: nm0647634"}
{"id": 38, "goal": "Brendan Fraser won the Academy Award for Best Actor in 2023. I would like to see the movie for which he won the award. What is its official Korean title?", "difficulty": "hard", "subgoals": "Subgoal 1: [{'id': 18269, 'name': 'Brendan Fraser'}]\nSubgoal 2: {'name': 'Brendan Fraser', 'birthday': '1968-12-03', 'place_of_birth': 'Indianapolis, Indiana, USA'}\nSubgoal 3: [{'id': 785084, 'title': 'The Whale'}]\nSubgoal 4: {'id': 785084, 'titles': [{'iso_3166_1': 'PL', 'title': 'Wieloryb', 'type': ''}, {'iso_3166_1': 'EE', 'title': 'Vaal', 'type': ''}, {'iso_3166_1': 'RU', 'title': '\u041a\u0438\u0442', 'type': ''}, {'iso_3166_1': 'PT', 'title': 'A Baleia', 'type': ''}, {'iso_3166_1': 'IR', 'title': '\u0648\u0627\u0644', 'type': ''}, {'iso_3166_1': 'LV', 'title': 'Valis', 'type': ''}, {'iso_3166_1': 'MX', 'title': 'La ballena', 'type': ''}, {'iso_3166_1': 'IL', 'title': '\u05d4\u05dc\u05d5\u05d9\u05d9\u05ea\u05df', 'type': ''}, {'iso_3166_1': 'CA', 'title': 'La baleine', 'type': ''}, {'iso_3166_1': 'KR', 'title': '\ub354 \uc6e8\uc77c', 'type': ''}, {'iso_3166_1': 'TW', 'title': '\u6211\u7684\u9be8\u9b5a\u8001\u7238', 'type': ''}]}\nSubgoal 5: \ub354 \uc6e8\uc77c"}
{"id": 39, "goal": "Jessica Chastain won the Academy Award for Best Actress in 2022. Please give you an overview in Dutch about the movie for which she won the award", "difficulty": "hard", "subgoals": "Subgoal 1: [{'id': 83002, 'name': 'Jessica Chastain'}]\nSubgoal 2: {'name': 'Jessica Chastain', 'birthday': '1977-03-24', 'place_of_birth': 'Southern California, California, USA'}\nSubgoal 3: [{'id': 601470, 'title': 'The Eyes of Tammy Faye'}]\nSubgoal 4: {'id': 601470, 'translations': [{'iso_3166_1': 'DE', 'iso_639_1': 'de', 'name': 'Deutsch', 'english_name': 'German', 'data': {'homepage': '', 'overview': 'Der au\u00dfergew\u00f6hnliche Fall der Fernsehprediger Jim und Tammy Faye Bakker sorgte in den 1970er- und 1980er-Jahren f\u00fcr gro\u00dfes Aufsehen. Tammy und ihr Ehemann Jim wuchsen in bescheidenen Verh\u00e4ltnissen auf und haben nur einen Wunsch: die Welt mit Liebe und Akzeptanz zu begeistern. Als Fernsehprediger sehen sie ihre Chance, ihre Mission in die Welt zu tragen und entwickeln sich mit ihrem eigenen Sender zu einem nationalen Erfolgsunternehmen\\xa0\u2013 Themenparks inklusive! W\u00e4hrend Tammy mit ihrer eigensinnigen Art, den markanten Wimpern und jeder Menge Ehrgeiz von Toleranz und N\u00e4chstenliebe predigt, bahnt sich hinter den Kulissen eine drohende Katastrophe an. Der Traum vom weltweiten Imperium ger\u00e4t in Gefahr, als sich erste Skandale, finanzielle Probleme und Attacken von Rivalen mehren und das religi\u00f6se Kartenhaus zum Einsturz bringen. Was folgt, ist der Untergang der Tammy Faye.', 'runtime': 0, 'tagline': 'Manchmal muss man im Leben seine Wimpern mitnehmen.'}}, {'iso_3166_1': 'US', 'iso_639_1': 'en', 'name': 'English', 'english_name': 'English', 'data': {'homepage': 'https://www.searchlightpictures.com/theeyesoftammyfaye/', 'overview': \"From the 1960's to the 1980's, evangelist Jim Baker and his ambitious wife, Tammy Faye, rose from humble beginnings to to build an empire based on big-time evangelical Christianity--only for the couple to fall from grace because of some all-too-human sins.\", 'runtime': 126, 'tagline': 'Sometimes in life, you have to take your lashes.'}}, {'iso_3166_1': 'NL', 'iso_639_1': 'nl', 'name': 'Nederlands', 'english_name': 'Dutch', 'data': {'homepage': '', 'overview': \"In de jaren 70 en 80 cre\u00eberden Tammy Faye en haar man, Jim Bakker, vanuit het niets 's werelds grootste religieuze omroep en themapark en werden ze vereerd vanwege hun boodschap van liefde, acceptatie en welvaart. Het duurde echter niet lang voordat financi\u00eble onregelmatigheden, sluwe rivalen en schandalen hun zorgvuldig opgebouwde rijk ten val brachten.\", 'runtime': 0, 'tagline': ''}}, {'iso_3166_1': 'CN', 'iso_639_1': 'zh', 'name': '\u666e\u901a\u8bdd', 'english_name': 'Mandarin', 'data': {'homepage': '', 'overview': '\u300a\u7efc\u827a\u300b\u62a5\u9053\uff1a\u6770\u897f\u5361\u00b7\u67e5\u65af\u5766\u4e0e\u5b89\u5fb7\u9c81\u00b7\u52a0\u83f2\u5c14\u5fb7\u5c06\u51fa\u6f14[\u798f\u65af\u63a2\u7167\u706f]\u4f20\u8bb0\u7247\u300a#\u5854\u7c73\u00b7\u83f2\u7684\u773c\u775b#\u300b\uff08Eyes of Tammy Faye\uff09\u3002\u8be5\u4f5c\u54c1\u6539\u7f16\u81ea2000\u5e74\u540c\u540d\u7eaa\u5f55\u7247\uff0c\u8bb2\u8ff0\u5854\u7c73\u00b7\u83f2\uff08\u6770\u897f\u5361\u00b7\u67e5\u65af\u5766 \u9970\uff09\u548c\u5409\u59c6\u00b7\u8d1d\u514b\uff08\u5b89\u5fb7\u9c81\u00b7\u52a0\u83f2\u5c14\u5fb7 \u9970\uff09\u8fd9\u5bf9\u592b\u5987\u4f5c\u4e3a\u7535\u89c6\u798f\u97f3\u5e03\u9053\u5bb6\u7684\u5927\u8d77\u5927\u843d\u3002\u5728\u4e0a\u4e16\u7eaa70-80\u5e74\u4ee3\uff0c\u5854\u7c73\u00b7\u83f2\u548c\u5409\u59c6\u00b7\u8d1d\u514b\u4ece\u8d2b\u5bd2\u4e2d\u594b\u8d77\uff0c\u521b\u5efa\u4e86\u5f53\u65f6\u4e16\u754c\u4e0a\u6700\u5e9e\u5927\u7684\u5b97\u6559\u5e7f\u64ad\u7535\u89c6\u7f51\u548c\u4e00\u4e2a\u4e3b\u9898\u516c\u56ed\uff0c\u4ece\u800c\u53d7\u4eba\u656c\u4ef0\u3002\u4e0d\u8fc7\u597d\u666f\u4e0d\u957f\uff0c\u7ecf\u6d4e\u4e0a\u7684\u4e0d\u5f53\u884c\u4e3a\u3001\u8be1\u8ba1\u591a\u7aef\u7684\u7ade\u4e89\u5bf9\u624b\u4ee5\u53ca\u6027\u4e11\u95fb\u7684\u7206\u53d1\u4f7f\u5f97\u8fd9\u5bf9\u592b\u5987\u7684\u5a5a\u59fb\u7834\u88c2\uff0c\u5bfc\u81f4\u4ed6\u4eec\u7cbe\u5fc3\u6784\u5efa\u8d77\u6765\u7684\u5e1d\u56fd\u4ece\u800c\u5d29\u584c\u3002\u5f71\u7247\u5c06\u7531\u201c\u5927\u75c5\u201d\u5bfc\u6f14\u8fc8\u514b\u5c14\u00b7\u8096\u6c83\u7279\u6267\u5bfc\u3002\u6770\u897f\u5361\u00b7\u67e5\u65af\u5766\u4f1a\u62c5\u4efb\u672c\u7247\u5236\u7247\u4eba\u3002', 'runtime': 126, 'tagline': ''}}]}\nSubgoal 5: In de jaren 70 en 80 cre\u00eberden Tammy Faye en haar man, Jim Bakker, vanuit het niets 's werelds grootste religieuze omroep en themapark en werden ze vereerd vanwege hun boodschap van liefde, acceptatie en welvaart. Het duurde echter niet lang voordat financi\u00eble onregelmatigheden, sluwe rivalen en schandalen hun zorgvuldig opgebouwde rijk ten val brachten."}
{"id": 40, "goal": "What was the average temperature in Celsius yesterday? Please give me a number as an answer.", "difficulty": "easy", "subgoals": "Subgoal 1: 2013-06-15\nSubgoal 2: New York\nSubgoal 3: {'results': [{'name': 'New York', 'latitude': 40.71427, 'longitude': -74.00597, 'country_code': 'US'}, {'name': 'York', 'latitude': 40.86807, 'longitude': -97.592, 'country_code': 'US'}, {'name': 'Clinton', 'latitude': 42.55779, 'longitude': -88.86511, 'country_code': 'US'}]}\nSubgoal 4: {'latitude': 40.699997, 'longitude': -74.0, 'daily_units': {'time': 'iso8601', 'temperature_2m_max': '\u00b0C', 'temperature_2m_min': '\u00b0C', 'temperature_2m_mean': '\u00b0C'}, 'daily': {'time': ['2013-06-14']}}\nSubgoal 5: 15.7"}
{"id": 41, "goal": "Today is really hot, it seems like it wasn't this hot last year. What was the highest temperature on this day last year? Please give me a number as an answer.", "difficulty": "easy", "subgoals": "Subgoal 1: 2014-07-16\nSubgoal 2: Los Angeles\nSubgoal 3: {'results': [{'name': 'Los Angeles', 'latitude': 34.05223, 'longitude': -118.24368, 'country_code': 'US'}, {'name': 'Los \u00c1ngeles', 'latitude': -37.46973, 'longitude': -72.35366, 'country_code': 'CL'}, {'name': 'Los \u00c1ngeles', 'latitude': 7.88463, 'longitude': -80.35497, 'country_code': 'PA'}]}\nSubgoal 4: {'latitude': 34.1, 'longitude': -118.2, 'daily_units': {'time': 'iso8601', 'temperature_2m_max': '\u00b0C', 'temperature_2m_min': '\u00b0C', 'temperature_2m_mean': '\u00b0C'}, 'daily': {'time': ['2013-07-16']}}\nSubgoal 5: 32.7"}
{"id": 42, "goal": "It's snowing outside today, it's so cold, what's the lowest temperature today? Please give me a number as an answer.", "difficulty": "easy", "subgoals": "Subgoal 1: 2014-12-30\nSubgoal 2: New York\nSubgoal 3: {'results': [{'name': 'New York', 'latitude': 40.71427, 'longitude': -74.00597, 'country_code': 'US'}, {'name': 'York', 'latitude': 40.86807, 'longitude': -97.592, 'country_code': 'US'}, {'name': 'Clinton', 'latitude': 42.55779, 'longitude': -88.86511, 'country_code': 'US'}]}\nSubgoal 4: {'latitude': 40.699997, 'longitude': -74.0, 'daily_units': {'time': 'iso8601', 'temperature_2m_max': '\u00b0C', 'temperature_2m_min': '\u00b0C', 'temperature_2m_mean': '\u00b0C'}, 'daily': {'time': ['2014-12-30']}}\nSubgoal 5: -3.5"}
{"id": 43, "goal": "I want to wear short sleeves tomorrow. What is the average temperature tomorrow according to the weather forecast? Please give me a number as an answer.", "difficulty": "easy", "subgoals": "Subgoal 1: 2011-06-12\nSubgoal 2: Los Angeles\nSubgoal 3: {'results': [{'name': 'Los Angeles', 'latitude': 34.05223, 'longitude': -118.24368, 'country_code': 'US'}, {'name': 'Los \u00c1ngeles', 'latitude': -37.46973, 'longitude': -72.35366, 'country_code': 'CL'}, {'name': 'Los \u00c1ngeles', 'latitude': 7.88463, 'longitude': -80.35497, 'country_code': 'PA'}]}\nSubgoal 4: {'latitude': 34.1, 'longitude': -118.2, 'daily_units': {'time': 'iso8601', 'temperature_2m_max': '\u00b0C', 'temperature_2m_min': '\u00b0C', 'temperature_2m_mean': '\u00b0C'}, 'daily': {'time': ['2011-06-13']}}\nSubgoal 5: 18.3"}
{"id": 44, "goal": "Is the average temperature today higher than yesterday? Answer Yes or No.", "difficulty": "hard", "subgoals": "Subgoal 1: 2014-05-15\nSubgoal 2: Pittsburgh\nSubgoal 3: {'results': [{'name': 'Pittsburgh', 'latitude': 40.44062, 'longitude': -79.99589, 'country_code': 'US'}, {'name': 'Hymera', 'latitude': 39.18643, 'longitude': -87.30168, 'country_code': 'US'}, {'name': 'Tipton', 'latitude': 39.34307, 'longitude': -98.4709, 'country_code': 'US'}]}\nSubgoal 4: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'temperature_2m_max': '\u00b0C', 'temperature_2m_min': '\u00b0C', 'temperature_2m_mean': '\u00b0C'}, 'daily': {'time': ['2014-05-15']}}\nSubgoal 5: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'temperature_2m_max': '\u00b0C', 'temperature_2m_min': '\u00b0C', 'temperature_2m_mean': '\u00b0C'}, 'daily': {'time': ['2014-05-14']}}\nSubgoal 6: No"}
{"id": 45, "goal": "Among the 20th, 25th, and 30th of this month, which day has the highest average temperature? Please provide the answer in the YYYY-MM-DD format.", "difficulty": "hard", "subgoals": "Subgoal 1: 2014-05-15\nSubgoal 2: Pittsburgh\nSubgoal 3: {'results': [{'name': 'Pittsburgh', 'latitude': 40.44062, 'longitude': -79.99589, 'country_code': 'US'}, {'name': 'Hymera', 'latitude': 39.18643, 'longitude': -87.30168, 'country_code': 'US'}, {'name': 'Tipton', 'latitude': 39.34307, 'longitude': -98.4709, 'country_code': 'US'}]}\nSubgoal 4: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'temperature_2m_max': '\u00b0C', 'temperature_2m_min': '\u00b0C', 'temperature_2m_mean': '\u00b0C'}, 'daily': {'time': ['2014-05-20']}}\nSubgoal 5: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'temperature_2m_max': '\u00b0C', 'temperature_2m_min': '\u00b0C', 'temperature_2m_mean': '\u00b0C'}, 'daily': {'time': ['2014-05-25']}}\nSubgoal 6: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'temperature_2m_max': '\u00b0C', 'temperature_2m_min': '\u00b0C', 'temperature_2m_mean': '\u00b0C'}, 'daily': {'time': ['2014-05-30']}}\nSubgoal 7: 2014-05-30"}
{"id": 46, "goal": "I'm going to Washington on a business trip the day after tomorrow. On the day after tomorrow, is the average temperature there higher than the average temperature here? Answer Yes or No.", "difficulty": "hard", "subgoals": "Subgoal 1: 2015-05-15\nSubgoal 2: Pittsburgh\nSubgoal 3: {'results': [{'name': 'Pittsburgh', 'latitude': 40.44062, 'longitude': -79.99589, 'country_code': 'US'}, {'name': 'Hymera', 'latitude': 39.18643, 'longitude': -87.30168, 'country_code': 'US'}, {'name': 'Tipton', 'latitude': 39.34307, 'longitude': -98.4709, 'country_code': 'US'}]}\nSubgoal 4: {'results': [{'name': 'Washington', 'latitude': 38.89511, 'longitude': -77.03637, 'country_code': 'US'}, {'name': 'Macomb', 'latitude': 40.45921, 'longitude': -90.6718, 'country_code': 'US'}, {'name': 'Washington', 'latitude': 40.17396, 'longitude': -80.24617, 'country_code': 'US'}]}\nSubgoal 5: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'temperature_2m_max': '\u00b0C', 'temperature_2m_min': '\u00b0C', 'temperature_2m_mean': '\u00b0C'}, 'daily': {'time': ['2015-05-17']}}\nSubgoal 6: {'latitude': 38.90001, 'longitude': -77.0, 'daily_units': {'time': 'iso8601', 'temperature_2m_max': '\u00b0C', 'temperature_2m_min': '\u00b0C', 'temperature_2m_mean': '\u00b0C'}, 'daily': {'time': ['2015-05-17']}}\nSubgoal 7: Yes"}
{"id": 47, "goal": "I will be going to Los Angeles on a business trip on the 8th of next month. What is the temperature difference in Los Angeles on that day? Please give me a number as an answer.", "difficulty": "easy", "subgoals": "Subgoal 1: 2015-05-15\nSubgoal 2: {'results': [{'name': 'Los Angeles', 'latitude': 34.05223, 'longitude': -118.24368, 'country_code': 'US'}, {'name': 'Los \u00c1ngeles', 'latitude': -37.46973, 'longitude': -72.35366, 'country_code': 'CL'}, {'name': 'Los \u00c1ngeles', 'latitude': 7.88463, 'longitude': -80.35497, 'country_code': 'PA'}]}\nSubgoal 3: {'latitude': 34.1, 'longitude': -118.2, 'daily_units': {'time': 'iso8601', 'temperature_2m_max': '\u00b0C', 'temperature_2m_min': '\u00b0C', 'temperature_2m_mean': '\u00b0C'}, 'daily': {'time': ['2015-06-08']}}\nSubgoal 4: 20.9"}
{"id": 48, "goal": "I'm going to travel on the 3rd of next month, New York or Los Angeles, please help me choose a place where the temperature difference is not very big that day.", "difficulty": "hard", "subgoals": "Subgoal 1: 2015-05-15\nSubgoal 2: {'results': [{'name': 'New York', 'latitude': 40.71427, 'longitude': -74.00597, 'country_code': 'US'}, {'name': 'York', 'latitude': 40.86807, 'longitude': -97.592, 'country_code': 'US'}, {'name': 'Clinton', 'latitude': 42.55779, 'longitude': -88.86511, 'country_code': 'US'}]}\nSubgoal 3: {'results': [{'name': 'Los Angeles', 'latitude': 34.05223, 'longitude': -118.24368, 'country_code': 'US'}, {'name': 'Los \u00c1ngeles', 'latitude': -37.46973, 'longitude': -72.35366, 'country_code': 'CL'}, {'name': 'Los \u00c1ngeles', 'latitude': 7.88463, 'longitude': -80.35497, 'country_code': 'PA'}]}\nSubgoal 4: {'latitude': 40.699997, 'longitude': -74.0, 'daily_units': {'time': 'iso8601', 'temperature_2m_max': '\u00b0C', 'temperature_2m_min': '\u00b0C', 'temperature_2m_mean': '\u00b0C'}, 'daily': {'time': ['2015-06-03']}}\nSubgoal 5: {'latitude': 34.1, 'longitude': -118.2, 'daily_units': {'time': 'iso8601', 'temperature_2m_max': '\u00b0C', 'temperature_2m_min': '\u00b0C', 'temperature_2m_mean': '\u00b0C'}, 'daily': {'time': ['2015-06-03']}}\nSubgoal 6: New York"}
{"id": 49, "goal": "On the 19th or the 25th, I want to choose a day to go hiking. Which day has less rainfall? Please provide the answer in the YYYY-MM-DD format.", "difficulty": "hard", "subgoals": "Subgoal 1: 2015-05-15\nSubgoal 2: Pittsburgh\nSubgoal 3: {'results': [{'name': 'Pittsburgh', 'latitude': 40.44062, 'longitude': -79.99589, 'country_code': 'US'}, {'name': 'Hymera', 'latitude': 39.18643, 'longitude': -87.30168, 'country_code': 'US'}, {'name': 'Tipton', 'latitude': 39.34307, 'longitude': -98.4709, 'country_code': 'US'}]}\nSubgoal 4: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'rain_sum': 'mm'}, 'daily': {'time': ['2015-05-19'], 'rain_sum': [5.9]}}\nSubgoal 5: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'rain_sum': 'mm'}, 'daily': {'time': ['2015-05-25'], 'rain_sum': [0.0]}}\nSubgoal 6: 2015-05-25"}
{"id": 50, "goal": "The recent rainfall has been quite substantial. It feels like there wasn't much rain last year. Is today's rainfall higher than last year's on the same day? Answer Yes or No.", "difficulty": "hard", "subgoals": "Subgoal 1: 2013-08-19\nSubgoal 2: Pittsburgh\nSubgoal 3: {'results': [{'name': 'Pittsburgh', 'latitude': 40.44062, 'longitude': -79.99589, 'country_code': 'US'}, {'name': 'Hymera', 'latitude': 39.18643, 'longitude': -87.30168, 'country_code': 'US'}, {'name': 'Tipton', 'latitude': 39.34307, 'longitude': -98.4709, 'country_code': 'US'}]}\nSubgoal 4: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'rain_sum': 'mm'}, 'daily': {'time': ['2013-08-19'], 'rain_sum': [4.6]}}\nSubgoal 5: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'rain_sum': 'mm'}, 'daily': {'time': ['2012-08-19'], 'rain_sum': [0.4]}}\nSubgoal 6: Yes"}
{"id": 51, "goal": "Which day had a greater amount of rainfall, the 7th of last month or the 20th of last month? Please provide the answer in the YYYY-MM-DD format.", "difficulty": "hard", "subgoals": "Subgoal 1: 2015-05-15\nSubgoal 2: Pittsburgh\nSubgoal 3: {'results': [{'name': 'Pittsburgh', 'latitude': 40.44062, 'longitude': -79.99589, 'country_code': 'US'}, {'name': 'Hymera', 'latitude': 39.18643, 'longitude': -87.30168, 'country_code': 'US'}, {'name': 'Tipton', 'latitude': 39.34307, 'longitude': -98.4709, 'country_code': 'US'}]}\nSubgoal 4: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'rain_sum': 'mm'}, 'daily': {'time': ['2015-04-07'], 'rain_sum': [9.6]}}\nSubgoal 5: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'rain_sum': 'mm'}, 'daily': {'time': ['2015-04-20'], 'rain_sum': [17.6]}}\nSubgoal 6: 2015-04-20"}
{"id": 52, "goal": "Which year in the previous 3 years had the most snowfall on December 1st? Please provide the answer in the YYYY format.", "difficulty": "hard", "subgoals": "Subgoal 1: 2014-11-01\nSubgoal 2: New York\nSubgoal 3: {'results': [{'name': 'New York', 'latitude': 40.71427, 'longitude': -74.00597, 'country_code': 'US'}, {'name': 'York', 'latitude': 40.86807, 'longitude': -97.592, 'country_code': 'US'}, {'name': 'Clinton', 'latitude': 42.55779, 'longitude': -88.86511, 'country_code': 'US'}]}\nSubgoal 4: {'latitude': 40.699997, 'longitude': -74.0, 'daily_units': {'time': 'iso8601', 'snowfall_sum': 'cm'}, 'daily': {'time': ['2011-12-10'], 'snowfall_sum': [0.0]}}\nSubgoal 5: {'latitude': 40.699997, 'longitude': -74.0, 'daily_units': {'time': 'iso8601', 'snowfall_sum': 'cm'}, 'daily': {'time': ['2012-12-10'], 'snowfall_sum': [0.0]}}\nSubgoal 6: {'latitude': 40.699997, 'longitude': -74.0, 'daily_units': {'time': 'iso8601', 'snowfall_sum': 'cm'}, 'daily': {'time': ['2013-12-10'], 'snowfall_sum': [4.41]}}\nSubgoal 7: 2013"}
{"id": 53, "goal": "I'm going to Ulaanbaatar on a business trip. It is said that it is on a plateau. How much higher is the elevation there than here? Please give me a number as an answer.", "difficulty": "hard", "subgoals": "Subgoal 1: Pittsburgh\nSubgoal 2: {'results': [{'name': 'Pittsburgh', 'latitude': 40.44062, 'longitude': -79.99589, 'country_code': 'US'}, {'name': 'Hymera', 'latitude': 39.18643, 'longitude': -87.30168, 'country_code': 'US'}, {'name': 'Tipton', 'latitude': 39.34307, 'longitude': -98.4709, 'country_code': 'US'}]}\nSubgoal 3: {'results': [{'name': 'Ulaanbaatar', 'latitude': 47.90771, 'longitude': 106.88324, 'country_code': 'MN'}, {'name': 'Ulaanbaatar Heliport', 'latitude': 47.67456, 'longitude': 106.42953, 'country_code': 'MN'}, {'name': 'Ulaanbaatar Chinggis Khaan International Airport', 'latitude': 47.84306, 'longitude': 106.76664, 'country_code': 'MN'}]}\nSubgoal 4: {'elevation': [236.0]}\nSubgoal 5: {'elevation': [1285.0]}\nSubgoal 6: 1049.0"}
{"id": 54, "goal": "I went to New York on a business trip on the 1st of this month. I feel that the air quality is not very good. How was the air quality level there that day?", "difficulty": "easy", "subgoals": "Subgoal 1: 2022-11-15\nSubgoal 2: {'results': [{'name': 'New York', 'latitude': 40.71427, 'longitude': -74.00597, 'country_code': 'US'}, {'name': 'York', 'latitude': 40.86807, 'longitude': -97.592, 'country_code': 'US'}, {'name': 'Clinton', 'latitude': 42.55779, 'longitude': -88.86511, 'country_code': 'US'}]}\nSubgoal 3: {'latitude': 40.800003, 'longitude': -74.0, 'daily_units': {'time': 'iso8601', 'european_aqi_pm2_5': 'EAQI'}, 'daily': {'time': ['2022-11-01T12:00'], 'european_aqi_pm2_5': [62]}}\nSubgoal 4: poor\nSubgoal 5: poor"}
{"id": 55, "goal": "I will be on a business trip to New York on the 1st of next month. How far is it from my current location? Please give me a number as an answer.", "difficulty": "easy", "subgoals": "Subgoal 1: Pittsburgh\nSubgoal 2: {'results': [{'name': 'Pittsburgh', 'latitude': 40.44062, 'longitude': -79.99589, 'country_code': 'US'}, {'name': 'Hymera', 'latitude': 39.18643, 'longitude': -87.30168, 'country_code': 'US'}, {'name': 'Tipton', 'latitude': 39.34307, 'longitude': -98.4709, 'country_code': 'US'}]}\nSubgoal 3: {'results': [{'name': 'New York', 'latitude': 40.71427, 'longitude': -74.00597, 'country_code': 'US'}, {'name': 'York', 'latitude': 40.86807, 'longitude': -97.592, 'country_code': 'US'}, {'name': 'Clinton', 'latitude': 42.55779, 'longitude': -88.86511, 'country_code': 'US'}]}\nSubgoal 4: 1486.4114227100274\nSubgoal 5: 1486.4114227100274"}
{"id": 56, "goal": "I'm going to New York on a business trip on the 11th. I'm not sure about the air there. Is the air quality level there the same as here today? Answer in Yes or No", "difficulty": "hard", "subgoals": "Subgoal 1: 2022-12-01\nSubgoal 2: Pittsburgh\nSubgoal 3: {'results': [{'name': 'Pittsburgh', 'latitude': 40.44062, 'longitude': -79.99589, 'country_code': 'US'}, {'name': 'Hymera', 'latitude': 39.18643, 'longitude': -87.30168, 'country_code': 'US'}, {'name': 'Tipton', 'latitude': 39.34307, 'longitude': -98.4709, 'country_code': 'US'}]}\nSubgoal 4: {'results': [{'name': 'New York', 'latitude': 40.71427, 'longitude': -74.00597, 'country_code': 'US'}, {'name': 'York', 'latitude': 40.86807, 'longitude': -97.592, 'country_code': 'US'}, {'name': 'Clinton', 'latitude': 42.55779, 'longitude': -88.86511, 'country_code': 'US'}]}\nSubgoal 5: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'european_aqi_pm2_5': 'EAQI'}, 'daily': {'time': ['2022-12-01T12:00'], 'european_aqi_pm2_5': [7]}}\nSubgoal 6: {'latitude': 40.800003, 'longitude': -74.0, 'daily_units': {'time': 'iso8601', 'european_aqi_pm2_5': 'EAQI'}, 'daily': {'time': ['2022-12-01T12:00'], 'european_aqi_pm2_5': [14]}}\nSubgoal 7: good\nSubgoal 8: good\nSubgoal 9: Yes"}
{"id": 57, "goal": "On the 1st and the 22nd of next month, which days will have both rain and snow? Please provide the answer in the form of a list ['YYYY-MM-DD', ...].", "difficulty": "hard", "subgoals": "Subgoal 1: 2018-11-15\nSubgoal 2: Pittsburgh\nSubgoal 3: {'results': [{'name': 'Pittsburgh', 'latitude': 40.44062, 'longitude': -79.99589, 'country_code': 'US'}, {'name': 'Hymera', 'latitude': 39.18643, 'longitude': -87.30168, 'country_code': 'US'}, {'name': 'Tipton', 'latitude': 39.34307, 'longitude': -98.4709, 'country_code': 'US'}]}\nSubgoal 4: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'rain_sum': 'mm'}, 'daily': {'time': ['2018-12-01'], 'rain_sum': [9.8]}}\nSubgoal 5: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'rain_sum': 'mm'}, 'daily': {'time': ['2018-12-22'], 'rain_sum': [2.5]}}\nSubgoal 6: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'snowfall_sum': 'cm'}, 'daily': {'time': ['2018-12-01'], 'snowfall_sum': [0.0]}}\nSubgoal 7: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'snowfall_sum': 'cm'}, 'daily': {'time': ['2018-12-22'], 'snowfall_sum': [1.96]}}\nSubgoal 8: ['2018-12-22']"}
{"id": 58, "goal": "Will tomorrow's snowfall decrease? Answer in Yes or No", "difficulty": "hard", "subgoals": "Subgoal 1: 2018-12-21\nSubgoal 2: Pittsburgh\nSubgoal 3: {'results': [{'name': 'Pittsburgh', 'latitude': 40.44062, 'longitude': -79.99589, 'country_code': 'US'}, {'name': 'Hymera', 'latitude': 39.18643, 'longitude': -87.30168, 'country_code': 'US'}, {'name': 'Tipton', 'latitude': 39.34307, 'longitude': -98.4709, 'country_code': 'US'}]}\nSubgoal 4: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'snowfall_sum': 'cm'}, 'daily': {'time': ['2018-12-21'], 'snowfall_sum': [0.07]}}\nSubgoal 5: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'snowfall_sum': 'cm'}, 'daily': {'time': ['2018-12-22'], 'snowfall_sum': [1.96]}}\nSubgoal 6: No"}
{"id": 59, "goal": "On the the 21st and 28th of this month, which days has more rainfall than snowfall? Please provide the answer in the form of a list ['YYYY-MM-DD',...].", "difficulty": "hard", "subgoals": "Subgoal 1: 2018-12-15\nSubgoal 2: Pittsburgh\nSubgoal 3: {'results': [{'name': 'Pittsburgh', 'latitude': 40.44062, 'longitude': -79.99589, 'country_code': 'US'}, {'name': 'Hymera', 'latitude': 39.18643, 'longitude': -87.30168, 'country_code': 'US'}, {'name': 'Tipton', 'latitude': 39.34307, 'longitude': -98.4709, 'country_code': 'US'}]}\nSubgoal 4: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'rain_sum': 'mm'}, 'daily': {'time': ['2018-12-21'], 'rain_sum': [27.2]}}\nSubgoal 5: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'rain_sum': 'mm'}, 'daily': {'time': ['2018-12-28'], 'rain_sum': [9.9]}}\nSubgoal 6: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'snowfall_sum': 'cm'}, 'daily': {'time': ['2018-12-21'], 'snowfall_sum': [0.07]}}\nSubgoal 7: {'latitude': 40.40001, 'longitude': -80.0, 'daily_units': {'time': 'iso8601', 'snowfall_sum': 'cm'}, 'daily': {'time': ['2018-12-28'], 'snowfall_sum': [0.0]}}\nSubgoal 8: ['2018-12-21', '2018-12-28']"}