{"fusing--dog_captions": { "description": "Google's Conceptual Captions dataset has more than 3 million images, paired with natural-language captions.\nIn contrast with the curated style of the MS-COCO images, Conceptual Captions images and their raw descriptions are harvested from the web,\nand therefore represent a wider variety of styles. The raw descriptions are harvested from the Alt-text HTML attribute associated with web images.\nThe authors developed an automatic pipeline that extracts, filters, and transforms candidate image/caption pairs, with the goal of achieving a balance of cleanliness,\ninformativeness, fluency, and learnability of the resulting captions.\n", "citation": "@inproceedings{sharma2018conceptual,\n title = {Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning},\n author = {Sharma, Piyush and Ding, Nan and Goodman, Sebastian and Soricut, Radu},\n booktitle = {Proceedings of ACL},\n year = {2018},\n}\n", "homepage": "http://data.statmt.org/cc-100/", "license": "The dataset may be freely used for any purpose, although acknowledgement of\nGoogle LLC (\"Google\") as the data source would be appreciated. The dataset is\nprovided \"AS IS\" without any warranty, express or implied. Google disclaims all\nliability for any damages, direct or indirect, resulting from the use of the\ndataset.\n", "features": { "caption": { "dtype": "string", "id": null, "_type": "Value" }, "image": { "decode": true, "id": null, "_type": "Image" } }, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "conceptual_captions", "config_name": "labeled", "version": { "version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0 }, "splits": { "train": { "name": "train", "num_bytes": 731014910.6205974, "num_examples": 25064, "dataset_name": "dog_captions" } }, "download_checksums": null, "download_size": 781802773, "post_processing_size": null, "dataset_size": 731014910.6205974, "size_in_bytes": 1512817683.6205974 }}