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{
"data_card": {
"Generate Matplotlib Charts / Generate Chart Topics / Load Generate Topics Triplets": {
"Date & Time": "2024-07-24T12:37:47.859569"
},
"Generate Matplotlib Charts / Generate Chart Topics / Create Generate Topics Prompts": {
"Date & Time": "2024-07-24T12:37:47.896454"
},
"Generate Matplotlib Charts / Generate Chart Topics / Generate": {
"Date & Time": "2024-07-24T12:37:50.486374",
"Model Name": [
"gpt-4o"
],
"Model Card": [
"https://cdn.openai.com/papers/gpt-4-system-card.pdf"
],
"License Information": [
"https://openai.com/policies"
],
"Citation Information": [
"@article{OpenAI2023GPT4TR,\n title={GPT-4 Technical Report},\n author={OpenAI},\n journal={ArXiv},\n year={2023},\n volume={abs/2303.08774},\n url={https://api.semanticscholar.org/CorpusID:257532815}\n}",
"@article{ouyang2022training,\n title={Training language models to follow instructions with human feedback},\n author={Ouyang, Long and Wu, Jeffrey and Jiang, Xu and Almeida, Diogo and Wainwright, Carroll and Mishkin, Pamela and Zhang, Chong and Agarwal, Sandhini and Slama, Katarina and Ray, Alex and others},\n journal={Advances in Neural Information Processing Systems},\n volume={35},\n pages={27730--27744},\n year={2022}\n}"
]
},
"Generate Matplotlib Charts / Generate Chart Topics / Get Generated Topics": {
"Date & Time": "2024-07-24T12:37:50.518331"
},
"Generate Matplotlib Charts / Generate Chart Topics / Keep Metadata": {
"Date & Time": "2024-07-24T12:37:50.578625"
},
"Generate Matplotlib Charts / Generate Chart Topics / Extract Topics": {
"Date & Time": "2024-07-24T12:37:50.640860"
},
"Generate Matplotlib Charts / Generate Chart Topics / Extract Topics (shuffle)": {
"Date & Time": "2024-07-24T12:37:50.670092"
},
"Generate Matplotlib Charts / Generate Chart Topics / Keep only desired number of topics": {
"Date & Time": "2024-07-24T12:37:50.673610"
},
"Generate Matplotlib Charts / Generate Chart Topics": {
"Date & Time": "2024-07-24T12:37:50.681575"
},
"Generate Matplotlib Charts / Generate Data / Combine inputs": {
"Date & Time": "2024-07-24T12:37:50.708655"
},
"Generate Matplotlib Charts / Generate Data / Create Generate Data Prompts": {
"Date & Time": "2024-07-24T12:37:50.742821"
},
"Generate Matplotlib Charts / Generate Data / Generate": {
"Date & Time": "2024-07-24T12:37:57.346819",
"Model Name": [
"gpt-4o"
],
"Model Card": [
"https://cdn.openai.com/papers/gpt-4-system-card.pdf"
],
"License Information": [
"https://openai.com/policies"
],
"Citation Information": [
"@article{OpenAI2023GPT4TR,\n title={GPT-4 Technical Report},\n author={OpenAI},\n journal={ArXiv},\n year={2023},\n volume={abs/2303.08774},\n url={https://api.semanticscholar.org/CorpusID:257532815}\n}",
"@article{ouyang2022training,\n title={Training language models to follow instructions with human feedback},\n author={Ouyang, Long and Wu, Jeffrey and Jiang, Xu and Almeida, Diogo and Wainwright, Carroll and Mishkin, Pamela and Zhang, Chong and Agarwal, Sandhini and Slama, Katarina and Ray, Alex and others},\n journal={Advances in Neural Information Processing Systems},\n volume={35},\n pages={27730--27744},\n year={2022}\n}"
]
},
"Generate Matplotlib Charts / Generate Data / Get Generated Data": {
"Date & Time": "2024-07-24T12:37:57.368665"
},
"Generate Matplotlib Charts / Generate Data / Combine with inputs": {
"Date & Time": "2024-07-24T12:37:57.422573"
},
"Generate Matplotlib Charts / Generate Data / Remove invalid CSV objects": {
"Date & Time": "2024-07-24T12:37:57.486154"
},
"Generate Matplotlib Charts / Generate Data": {
"Date & Time": "2024-07-24T12:37:57.510081"
},
"Generate Matplotlib Charts / Generate Code / Combine inputs": {
"Date & Time": "2024-07-24T12:37:57.537302"
},
"Generate Matplotlib Charts / Generate Code / Create Generate Code Prompts": {
"Date & Time": "2024-07-24T12:37:57.573731"
},
"Generate Matplotlib Charts / Generate Code / Generate": {
"Date & Time": "2024-07-24T12:38:08.550004",
"Model Name": [
"gpt-4o"
],
"Model Card": [
"https://cdn.openai.com/papers/gpt-4-system-card.pdf"
],
"License Information": [
"https://openai.com/policies"
],
"Citation Information": [
"@article{OpenAI2023GPT4TR,\n title={GPT-4 Technical Report},\n author={OpenAI},\n journal={ArXiv},\n year={2023},\n volume={abs/2303.08774},\n url={https://api.semanticscholar.org/CorpusID:257532815}\n}",
"@article{ouyang2022training,\n title={Training language models to follow instructions with human feedback},\n author={Ouyang, Long and Wu, Jeffrey and Jiang, Xu and Almeida, Diogo and Wainwright, Carroll and Mishkin, Pamela and Zhang, Chong and Agarwal, Sandhini and Slama, Katarina and Ray, Alex and others},\n journal={Advances in Neural Information Processing Systems},\n volume={35},\n pages={27730--27744},\n year={2022}\n}"
]
},
"Generate Matplotlib Charts / Generate Code / Get Generated Code": {
"Date & Time": "2024-07-24T12:38:08.573651"
},
"Generate Matplotlib Charts / Generate Code / Combine with inputs": {
"Date & Time": "2024-07-24T12:38:08.630167"
},
"Generate Matplotlib Charts / Generate Code / Save combine with inputs": {
"Date & Time": "2024-07-24T12:38:08.688033"
},
"Generate Matplotlib Charts / Generate Code / Generate Images": {
"Date & Time": "2024-07-24T12:38:22.399258"
},
"Generate Matplotlib Charts / Generate Code / Remove invalid images": {
"Date & Time": "2024-07-24T12:38:22.997292"
},
"Generate Matplotlib Charts / Generate Code": {
"Date & Time": "2024-07-24T12:38:23.020380"
},
"Generate Matplotlib Charts": {
"Date & Time": "2024-07-24T12:38:23.043382"
},
"Combine results from all pipelines": {
"Date & Time": "2024-07-24T12:38:25.707359"
}
},
"__version__": "0.28.0",
"datetime": "2024-07-24T12:38:25.707532",
"type": "ConcatStep",
"name": "Combine results from all pipelines",
"version": 1.0,
"fingerprint": "c96d8408df06879e",
"pickled": false,
"req_versions": {
"dill": "0.3.8",
"sqlitedict": "2.1.0",
"torch": "2.3.1",
"numpy": "1.26.4",
"transformers": "4.40.1",
"datasets": "2.19.0",
"huggingface_hub": "0.23.4",
"accelerate": "0.29.3",
"peft": "0.11.1",
"tiktoken": "0.7.0",
"tokenizers": "0.19.1",
"openai": "1.35.5",
"ctransformers": "0.2.27",
"optimum": "1.20.0",
"bitsandbytes": "0.42.0",
"litellm": "1.31.14",
"trl": "0.8.1",
"setfit": "1.0.3"
},
"interpreter": "3.10.9 (main, Dec 27 2023, 13:53:52) [Clang 14.0.3 (clang-1403.0.22.14.1)]"
}