| {"conll2000": {"description": " Text chunking consists of dividing a text in syntactically correlated parts of words. For example, the sentence\n He reckons the current account deficit will narrow to only # 1.8 billion in September . can be divided as follows:\n[NP He ] [VP reckons ] [NP the current account deficit ] [VP will narrow ] [PP to ] [NP only # 1.8 billion ]\n[PP in ] [NP September ] .\n\nText chunking is an intermediate step towards full parsing. It was the shared task for CoNLL-2000. Training and test\ndata for this task is available. This data consists of the same partitions of the Wall Street Journal corpus (WSJ)\nas the widely used data for noun phrase chunking: sections 15-18 as training data (211727 tokens) and section 20 as\ntest data (47377 tokens). The annotation of the data has been derived from the WSJ corpus by a program written by\nSabine Buchholz from Tilburg University, The Netherlands.\n", "citation": "@inproceedings{tksbuchholz2000conll,\n author = \"Tjong Kim Sang, Erik F. and Sabine Buchholz\",\n title = \"Introduction to the CoNLL-2000 Shared Task: Chunking\",\n editor = \"Claire Cardie and Walter Daelemans and Claire\n Nedellec and Tjong Kim Sang, Erik\",\n booktitle = \"Proceedings of CoNLL-2000 and LLL-2000\",\n publisher = \"Lisbon, Portugal\",\n pages = \"127--132\",\n year = \"2000\"\n}\n", "homepage": "https://www.clips.uantwerpen.be/conll2000/chunking/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "pos": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "chunk": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "conll2000", "config_name": "conll2000", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 4916429, "num_examples": 8937, "dataset_name": "conll2000"}, "test": {"name": "test", "num_bytes": 1102955, "num_examples": 2013, "dataset_name": "conll2000"}}, "download_checksums": {"https://github.com/teropa/nlp/raw/master/resources/corpora/conll2000/train.txt": {"num_bytes": 2842164, "checksum": "82033cd7a72b209923a98007793e8f9de3abc1c8b79d646c50648eb949b87cea"}, "https://github.com/teropa/nlp/raw/master/resources/corpora/conll2000/test.txt": {"num_bytes": 639396, "checksum": "73b7b1e565fa75a1e22fe52ecdf41b6624d6f59dacb591d44252bf4d692b1628"}}, "download_size": 3481560, "post_processing_size": null, "dataset_size": 6019384, "size_in_bytes": 9500944}} |