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+ {
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+ "builder_name": "onestop_english",
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+ "citation": "@inproceedings{vajjala-lucic-2018-onestopenglish,\n title = {OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplification},\n author = {Sowmya Vajjala and Ivana Lu\u010di\u0107},\n booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications},\n year = {2018}\n}\n",
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+ "config_name": "default",
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+ "dataset_name": "onestop_english",
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+ "dataset_size": 2278039,
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+ "description": "This dataset is a compilation of the OneStopEnglish corpus of texts written at three reading levels into one file.\nText documents are classified into three reading levels - ele, int, adv (Elementary, Intermediate and Advance).\nThis dataset demonstrates its usefulness for through two applica-tions - automatic readability assessment and automatic text simplification.\nThe corpus consists of 189 texts, each in three versions/reading levels (567 in total).\n",
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+ "download_checksums": {
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+ "https://github.com/purvimisal/OneStopCorpus-Compiled/raw/main/Texts-SeparatedByReadingLevel.zip": {
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+ "num_bytes": 1228804,
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+ "checksum": null
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+ }
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+ },
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+ "download_size": 1228804,
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+ "features": {
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+ "text": {
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+ "dtype": "string",
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+ "_type": "Value"
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+ },
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+ "label": {
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+ "names": [
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+ "ele",
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+ "int",
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+ "adv"
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+ ],
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+ "_type": "ClassLabel"
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+ }
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+ },
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+ "homepage": "https://github.com/nishkalavallabhi/OneStopEnglishCorpus",
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+ "license": "Creative Commons Attribution-ShareAlike 4.0 International License",
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+ "size_in_bytes": 3506843,
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+ "splits": {
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+ "train": {
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+ "name": "train",
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+ "num_bytes": 2278039,
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+ "num_examples": 567,
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+ "dataset_name": "onestop_english"
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+ }
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+ },
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+ "supervised_keys": {},
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+ "task_templates": [
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+ {
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+ "task": "text-classification",
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+ "label_column": "label"
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+ }
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+ ],
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+ "version": {
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+ "version_str": "1.1.0",
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+ "major": 1,
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+ "minor": 1,
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+ "patch": 0
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+ }
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+ }