kelly / dataset_infos.json
Suzen Fylke
Allow null frequency values and normalize SweWac source name
2137d4b
raw
history blame
2.26 kB
{"default": {"description": "The Swedish Kelly list is a freely available frequency-based vocabulary list that comprises general-purpose language of modern Swedish. The list was generated from a large web-acquired corpus (SweWaC) of 114 million words dating from the 2010s. It is adapted to the needs of language learners and contains 8,425 most frequent lemmas that cover 80% of SweWaC.", "citation": "@article{Kilgarriff2013,\ndoi = {10.1007/s10579-013-9251-2},\nurl = {https://doi.org/10.1007/s10579-013-9251-2},\nyear = {2013},\nmonth = sep,\npublisher = {Springer Science and Business Media {LLC}},\nvolume = {48},\nnumber = {1},\npages = {121--163},\nauthor = {Adam Kilgarriff and Frieda Charalabopoulou and Maria Gavrilidou and Janne Bondi Johannessen and Saussan Khalil and Sofie Johansson Kokkinakis and Robert Lew and Serge Sharoff and Ravikiran Vadlapudi and Elena Volodina},\ntitle = {Corpus-based vocabulary lists for language learners for nine languages},\njournal = {Language Resources and Evaluation}\n}\n", "homepage": "https://spraakbanken.gu.se/en/resources/kelly", "license": "CC BY 4.0", "features": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "raw_frequency": {"dtype": "float64", "id": null, "_type": "Value"}, "relative_frequency": {"dtype": "float64", "id": null, "_type": "Value"}, "cefr_level": {"dtype": "string", "id": null, "_type": "Value"}, "source": {"dtype": "string", "id": null, "_type": "Value"}, "marker": {"dtype": "string", "id": null, "_type": "Value"}, "lemma": {"dtype": "string", "id": null, "_type": "Value"}, "pos": {"dtype": "string", "id": null, "_type": "Value"}, "examples": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "kelly", "config_name": "default", "version": {"version_str": "1.0.1", "description": null, "major": 1, "minor": 0, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 568998, "num_examples": 8425, "dataset_name": "kelly"}}, "download_checksums": {"sv.csv": {"num_bytes": 377409, "checksum": "92a8b97affa5b36031c0854729ccbbeda3065d994d3f0e058c4b343bf2c6611c"}}, "download_size": 377409, "post_processing_size": null, "dataset_size": 568998, "size_in_bytes": 946407}}