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Purwarianti},\nbooktitle={Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing},\nyear={2020}\n}\n", "homepage": "https://www.indobenchmark.com/", "license": "", "features": {"tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "pos_tags": {"feature": {"num_classes": 26, "names": ["B-PPO", "B-KUA", "B-ADV", "B-PRN", "B-VBI", "B-PAR", "B-VBP", "B-NNP", "B-UNS", "B-VBT", "B-VBL", "B-NNO", "B-ADJ", "B-PRR", "B-PRK", "B-CCN", "B-$$$", "B-ADK", "B-ART", "B-CSN", "B-NUM", "B-SYM", "B-INT", "B-NEG", "B-PRI", "B-VBE"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "indonlu", "config_name": "posp", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2751348, "num_examples": 6720, "dataset_name": "indonlu"}, "validation": {"name": "validation", "num_bytes": 343924, "num_examples": 840, "dataset_name": "indonlu"}, "test": {"name": "test", "num_bytes": 350720, "num_examples": 840, "dataset_name": "indonlu"}}, "download_checksums": {"https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/posp_pos-prosa/train_preprocess.txt": {"num_bytes": 1922251, "checksum": "667d16f7e3e424fc1bf3d1aff8d99a0045ff07ca382c467f612d9ddc420803a1"}, "https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/posp_pos-prosa/valid_preprocess.txt": {"num_bytes": 239887, "checksum": "9af8289324391466c282132a8b47323b38e84daa3f0dd9b0d972da0a9f0970a9"}, "https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/posp_pos-prosa/test_preprocess_masked_label.txt": {"num_bytes": 245068, "checksum": "d120967bc7eaba5db88654902e2958af1ae7121e6a55b396e639cb8cf1d330d0"}}, "download_size": 2407206, "post_processing_size": null, "dataset_size": 3445992, "size_in_bytes": 5853198}, "bapos": {"description": "This POS tagging dataset (Dinakaramani et al., 2014) contains about 1000 sentences, collected from the PAN Localization\nProject. In this dataset, each word is tagged by one of 23 POS tag classes. 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Li and Zhi Yuan Lim and S. Soleman and R. Mahendra and Pascale Fung and Syafri Bahar and A. Purwarianti},\nbooktitle={Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing},\nyear={2020}\n}\n", "homepage": "https://www.indobenchmark.com/", "license": "", "features": {"tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "pos_tags": {"feature": {"num_classes": 41, "names": ["B-PR", "B-CD", "I-PR", "B-SYM", "B-JJ", "B-DT", "I-UH", "I-NND", "B-SC", "I-WH", "I-IN", "I-NNP", "I-VB", "B-IN", "B-NND", "I-CD", "I-JJ", "I-X", "B-OD", "B-RP", "B-RB", "B-NNP", "I-RB", "I-Z", "B-CC", "B-NEG", "B-VB", "B-NN", "B-MD", "B-UH", "I-NN", "B-PRP", "I-SC", "B-Z", "I-PRP", "I-OD", "I-SYM", "B-WH", "B-FW", "I-CC", "B-X"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "indonlu", "config_name": "bapos", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3772459, "num_examples": 8000, "dataset_name": "indonlu"}, "validation": {"name": "validation", "num_bytes": 460058, "num_examples": 1000, "dataset_name": "indonlu"}, "test": {"name": "test", "num_bytes": 474368, "num_examples": 1029, "dataset_name": "indonlu"}}, "download_checksums": {"https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/bapos_pos-idn/train_preprocess.txt": {"num_bytes": 2450176, "checksum": "260f0808b494335c77b5475348e016d7b64fdea1fbd07b45a232b84bc3c300b4"}, "https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/bapos_pos-idn/valid_preprocess.txt": {"num_bytes": 300182, "checksum": "599eebd10e01eaa452625939ff022c527abebedac4a91e84cddfa57abccc3a12"}, "https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/bapos_pos-idn/test_preprocess_masked_label.txt": {"num_bytes": 333663, "checksum": "7dfabd5e212483677e17dceec50d0cd9854a206a7a6e3f99168b446ee2eff5e6"}}, "download_size": 3084021, "post_processing_size": null, "dataset_size": 4706885, "size_in_bytes": 7790906}, "terma": {"description": "This span-extraction dataset is collected from the hotel aggregator platform, AiryRooms (Septiandri and Sutiono, 2019;\nFernando et al., 2019). The dataset consists of thousands of hotel reviews, which each contain a span label for aspect\nand sentiment words representing the opinion of the reviewer on the corresponding aspect. The labels use\nInside-Outside-Beginning (IOB) tagging representation with two kinds of tags, aspect and sentiment.", "citation": "@article{winatmoko2019aspect,\n  title={Aspect and Opinion Term Extraction for Hotel Reviews Using Transfer Learning and Auxiliary Labels},\n  author={Yosef Ardhito Winatmoko, Ali Akbar Septiandri, Arie Pratama Sutiono},\n  journal={arXiv preprint arXiv:1909.11879},\n  year={2019}\n}\n@article{fernando2019aspect,\n  title={Aspect and Opinion Terms Extraction Using Double Embeddings and Attention Mechanism for Indonesian Hotel Reviews},\n  author={Jordhy Fernando, Masayu Leylia Khodra, Ali Akbar Septiandri},\n  journal={arXiv preprint arXiv:1908.04899},\n  year={2019}\n}\n@inproceedings{wilie2020indonlu,\ntitle = {{IndoNLU}: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding},\nauthors={Bryan Wilie and Karissa Vincentio and Genta Indra Winata and Samuel Cahyawijaya and X. Li and Zhi Yuan Lim and S. Soleman and R. 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