Datasets:
scb_mt_enth_2020

- {"enth": {"description": "scb-mt-en-th-2020: A Large English-Thai Parallel Corpus\nThe primary objective of our work is to build a large-scale English-Thai dataset for machine translation.\nWe construct an English-Thai machine translation dataset with over 1 million segment pairs, curated from various sources,\nnamely news, Wikipedia articles, SMS messages, task-based dialogs, web-crawled data and government documents.\nMethodology for gathering data, building parallel texts and removing noisy sentence pairs are presented in a reproducible manner.\nWe train machine translation models based on this dataset. Our models' performance are comparable to that of\nGoogle Translation API (as of May 2020) for Thai-English and outperform Google when the Open Parallel Corpus (OPUS) is\nincluded in the training data for both Thai-English and English-Thai translation.\nThe dataset, pre-trained models, and source code to reproduce our work are available for public use.\n", "citation": "@article{lowphansirikul2020scb,\n title={scb-mt-en-th-2020: A Large English-Thai Parallel Corpus},\n author={Lowphansirikul, Lalita and Polpanumas, Charin and Rutherford, Attapol T and Nutanong, Sarana},\n journal={arXiv preprint arXiv:2007.03541},\n year={2020}\n}\n", "homepage": "https://airesearch.in.th/", "license": "", "features": {"translation": {"languages": ["en", "th"], "id": null, "_type": "Translation"}, "subdataset": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "scb_mt_enth2020", "config_name": "enth", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 390411946, "num_examples": 801402, "dataset_name": "scb_mt_enth2020"}, "validation": {"name": "validation", "num_bytes": 54167280, "num_examples": 100173, "dataset_name": "scb_mt_enth2020"}, "test": {"name": "test", "num_bytes": 53782790, "num_examples": 100177, "dataset_name": "scb_mt_enth2020"}}, "download_checksums": {"https://archive.org/download/scb_mt_enth_2020/data.zip": {"num_bytes": 138415559, "checksum": "58441cf2ee5fd4c4995930afb1a460ec80210d77e6109b4365eab5f117497afc"}}, "download_size": 138415559, "post_processing_size": null, "dataset_size": 498362016, "size_in_bytes": 636777575}, "then": {"description": "scb-mt-en-th-2020: A Large English-Thai Parallel Corpus\nThe primary objective of our work is to build a large-scale English-Thai dataset for machine translation.\nWe construct an English-Thai machine translation dataset with over 1 million segment pairs, curated from various sources,\nnamely news, Wikipedia articles, SMS messages, task-based dialogs, web-crawled data and government documents.\nMethodology for gathering data, building parallel texts and removing noisy sentence pairs are presented in a reproducible manner.\nWe train machine translation models based on this dataset. Our models' performance are comparable to that of\nGoogle Translation API (as of May 2020) for Thai-English and outperform Google when the Open Parallel Corpus (OPUS) is\nincluded in the training data for both Thai-English and English-Thai translation.\nThe dataset, pre-trained models, and source code to reproduce our work are available for public use.\n", "citation": "@article{lowphansirikul2020scb,\n title={scb-mt-en-th-2020: A Large English-Thai Parallel Corpus},\n author={Lowphansirikul, Lalita and Polpanumas, Charin and Rutherford, Attapol T and Nutanong, Sarana},\n journal={arXiv preprint arXiv:2007.03541},\n year={2020}\n}\n", "homepage": "https://airesearch.in.th/", "license": "", "features": {"translation": {"languages": ["th", "en"], "id": null, "_type": "Translation"}, "subdataset": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "scb_mt_enth2020", "config_name": "then", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 390411946, "num_examples": 801402, "dataset_name": "scb_mt_enth2020"}, "validation": {"name": "validation", "num_bytes": 54167280, "num_examples": 100173, "dataset_name": "scb_mt_enth2020"}, "test": {"name": "test", "num_bytes": 53782790, "num_examples": 100177, "dataset_name": "scb_mt_enth2020"}}, "download_checksums": {"https://archive.org/download/scb_mt_enth_2020/data.zip": {"num_bytes": 138415559, "checksum": "58441cf2ee5fd4c4995930afb1a460ec80210d77e6109b4365eab5f117497afc"}}, "download_size": 138415559, "post_processing_size": null, "dataset_size": 498362016, "size_in_bytes": 636777575}}