Datasets:

dfki-nlp
/

smartdata

- {"smartdata-v3_20200302": {"description": "DFKI SmartData Corpus is a dataset of 2598 German-language documents\nwhich has been annotated with fine-grained geo-entities, such as streets,\nstops and routes, as well as standard named entity types. It has also\nbeen annotated with a set of 15 traffic- and industry-related n-ary\nrelations and events, such as Accidents, Traffic jams, Acquisitions,\nand Strikes. The corpus consists of newswire texts, Twitter messages,\nand traffic reports from radio stations, police and railway companies.\nIt allows for training and evaluating both named entity recognition\nalgorithms that aim for fine-grained typing of geo-entities, as well\nas n-ary relation extraction systems.", "citation": "@InProceedings{SCHIERSCH18.85,\n author = {Martin Schiersch and Veselina Mironova and Maximilian Schmitt and Philippe Thomas and Aleksandra Gabryszak and Leonhard Hennig},\n title = \"{A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events}\",\n booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},\n year = {2018},\n month = {May 7-12, 2018},\n address = {Miyazaki, Japan},\n editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and H\u00e9l\u00e8ne Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},\n publisher = {European Language Resources Association (ELRA)},\n isbn = {979-10-95546-00-9},\n language = {english}\n }\n", "homepage": "https://www.dfki.de/web/forschung/projekte-publikationen/publikationen-uebersicht/publikation/9427/", "license": "CC-BY 4.0", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner_tags": {"feature": {"num_classes": 33, "names": ["O", "B-DATE", "I-DATE", "B-DISASTER_TYPE", "I-DISASTER_TYPE", "B-DISTANCE", "I-DISTANCE", "B-DURATION", "I-DURATION", "B-LOCATION", "I-LOCATION", "B-LOCATION_CITY", "I-LOCATION_CITY", "B-LOCATION_ROUTE", "I-LOCATION_ROUTE", "B-LOCATION_STOP", "I-LOCATION_STOP", "B-LOCATION_STREET", "I-LOCATION_STREET", "B-NUMBER", "I-NUMBER", "B-ORGANIZATION", "I-ORGANIZATION", "B-ORGANIZATION_COMPANY", "I-ORGANIZATION_COMPANY", "B-ORG_POSITION", "I-ORG_POSITION", "B-PERSON", "I-PERSON", "B-TIME", "I-TIME", "B-TRIGGER", "I-TRIGGER"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "smartdata", "config_name": "smartdata-v3_20200302", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2124312, "num_examples": 1861, "dataset_name": "smartdata"}, "test": {"name": "test", "num_bytes": 266529, "num_examples": 230, "dataset_name": "smartdata"}, "validation": {"name": "validation", "num_bytes": 258681, "num_examples": 228, "dataset_name": "smartdata"}}, "download_checksums": {"https://github.com/DFKI-NLP/smartdata-corpus/raw/master/v3_20200302/train.json.gz": {"num_bytes": 14946657, "checksum": "9fbf3edc25e2ef94b13abdcafb14a4664f5de14f416865c5be2d17b2b8c3a8bc"}, "https://github.com/DFKI-NLP/smartdata-corpus/raw/master/v3_20200302/dev.json.gz": {"num_bytes": 1825100, "checksum": "440c4ee02dc5d638d08288aeafa8a88cbb214ab1a97f314e9bbc4c46138bb58f"}, "https://github.com/DFKI-NLP/smartdata-corpus/raw/master/v3_20200302/test.json.gz": {"num_bytes": 2109025, "checksum": "0317e79ef66f0b45bdb2e6572e97f345078d0a3ec644f2d20f7c72c681231d54"}}, "download_size": 18880782, "post_processing_size": null, "dataset_size": 2649522, "size_in_bytes": 21530304}}