Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
n<10K
Language Creators:
machine-generated
Source Datasets:
FS-COCO
Tags:
License:
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README.md ADDED
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+ ---
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+ license: cc-by-nc-sa-4.0
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+ language:
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+ - en
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+ language_creators:
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+ - machine-generated
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+ multilinguality:
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+ - monolingual
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+ pretty_name: 'Sketch Scene Descriptions'
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+ size_categories:
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+ - n<10K
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+ source_datasets:
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+ - FS-COCO
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+ tags: []
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+ task_categories:
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+ - text-to-image
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+ task_ids: []
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+ ---
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+
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+ # Dataset Card for Sketch Scene Descriptions
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+
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+ _Dataset used to train [Sketch Scene text to image model]()_
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+
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+ We advance sketch research to scenes with the first dataset of freehand scene sketches, FS-COCO. With practical applications in mind, we collect sketches that convey well scene content but can be sketched within a few minutes by a person with any sketching skills. Our dataset comprises around 10,000 freehand scene vector sketches with per-point space-time information by 100 non-expert individuals, offering both object- and scene-level abstraction. Each sketch is augmented with its text description.
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+
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+ For each row, the dataset contains `image` and `text` keys. `image` is a varying size PIL jpeg, and `text` is the accompanying text caption. Only a train split is provided.
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+
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+
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+ ## Citation
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+
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+ If you use this dataset, please cite it as:
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+
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+ ```
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+ @inproceedings{fscoco,
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+ title={FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context.}
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+ author={Chowdhury, Pinaki Nath and Sain, Aneeshan and Bhunia, Ayan Kumar and Xiang, Tao and Gryaditskaya, Yulia and Song, Yi-Zhe},
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+ booktitle={ECCV},
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+ year={2022}
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+ }
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+ ```
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dataset_infos.json ADDED
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+ {"mozci--tinysketch": {"description": "", "citation": "", "homepage": "", "license": "", "features": {"image": {"decode": true, "id": null, "_type": "Image"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "imagefolder", "config_name": "sketch", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 237272212, "num_examples": 1000, "dataset_name": "parquet"}}, "download_checksums": null, "post_processing_size": null, "dataset_size": 237272212}}