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{
"data_card": {
"Generate LaTeX Documents / Generate Document Topics / Load Generate Topics Triplets": {
"Date & Time": "2025-03-11T20:20:42.618324"
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"@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}"
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"Date & Time": "2025-03-11T20:20:45.865187"
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"Generate LaTeX Documents / Generate Document Topics / Keep Metadata": {
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"Generate LaTeX Documents / Generate Data / Create Generate Data Prompts": {
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"Date & Time": "2025-03-11T20:21:00.671990",
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"@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}"
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"Generate LaTeX Documents / Generate Data / Combine with inputs": {
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"Generate LaTeX Documents / Generate Data / Remove invalid JSON objects": {
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"Generate LaTeX Documents / Generate Data": {
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"Generate LaTeX Documents / Generate Code / Create Generate Code Prompts": {
"Date & Time": "2025-03-11T20:21:00.890394"
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"Date & Time": "2025-03-11T20:21:19.325969",
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"@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}"
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"Generate LaTeX Documents / Generate Code / Generate Images": {
"Date & Time": "2025-03-11T20:21:31.340589"
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"Generate LaTeX Documents / Generate Code / Remove invalid images": {
"Date & Time": "2025-03-11T20:21:31.472779"
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"Generate LaTeX Documents / Generate Code": {
"Date & Time": "2025-03-11T20:21:31.494356"
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"Generate LaTeX Documents / Generate Q&A / Combine inputs": {
"Date & Time": "2025-03-11T20:21:31.585934"
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"Generate LaTeX Documents / Generate Q&A / Create Generate Q&A Prompts": {
"Date & Time": "2025-03-11T20:21:31.625506"
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"Date & Time": "2025-03-11T20:21:43.210127",
"Model Name": [
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"@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}"
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"Generate LaTeX Documents / Generate Q&A / Get Generated Q&A": {
"Date & Time": "2025-03-11T20:21:43.229222"
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"Date & Time": "2025-03-11T20:21:43.360544"
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"Generate LaTeX Documents / Generate Q&A / Process Q&A": {
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"Generate LaTeX Documents": {
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"Combine results from all pipelines": {
"Date & Time": "2025-03-11T20:21:44.163653"
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"__version__": "0.28.0",
"datetime": "2025-03-11T20:21:44.164436",
"type": "ConcatStep",
"name": "Combine results from all pipelines",
"version": 1.0,
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"req_versions": {
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"datasets": "2.19.0",
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},
"interpreter": "3.10.16 (main, Dec 11 2024, 10:22:29) [Clang 14.0.6 ]"
}