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Automated metadata update.
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‎tensorflow_datasets/testing/metadata/ai2dcaption/1.0.0/dataset_info.json

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{
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"citation": "@inproceedings{Zala2024DiagrammerGPT,\n author = {Abhay Zala and Han Lin and Jaemin Cho and Mohit Bansal},\n title = {DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning},\n year = {2024},\n booktitle = {COLM},\n}",
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"description": "This dataset is primarily based off the AI2D Dataset (see [here](\n https://prior.allenai.org/projects/diagram-understanding)).\n\nSee [Section 4.1](https://arxiv.org/pdf/2310.12128) of our paper for\n the AI2D-Caption dataset annotation process.",
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"fileFormat": "array_record",
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"location": {
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"https://huggingface.co/datasets/abhayzala/AI2D-Caption"
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]
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},
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"moduleName": "tensorflow_datasets.datasets.ai2dcaption.ai2dcaption_dataset_builder",
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"name": "ai2dcaption",
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"releaseNotes": {
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"1.0.0": "Initial release."
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‎tensorflow_datasets/testing/metadata/ai2dcaption/1.0.0/features.json

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‎tensorflow_datasets/testing/metadata/aloha_mobile/0.1.0/dataset_info.json

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{
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"citation": "@inproceedings{fu2024mobile,author = {Fu, Zipeng and Zhao, Tony Z. and Finn, Chelsea},title = {Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation},booktitle = {arXiv},year = {2024},}",
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"description": "Real dataset. Imitating mobile manipulation tasks that are bimanual and require whole-body control. 50 demonstrations for each task.",
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"fileFormat": "array_record",
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"location": {
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"urls": [
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"https://mobile-aloha.github.io"
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"moduleName": "tensorflow_datasets.robotics.rtx.rtx",
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"name": "aloha_mobile",
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