{
  "builder_name": "onestop_english",
  "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",
  "config_name": "default",
  "dataset_name": "onestop_english",
  "dataset_size": 2278039,
  "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",
  "download_checksums": {
    "https://github.com/purvimisal/OneStopCorpus-Compiled/raw/main/Texts-SeparatedByReadingLevel.zip": {
      "num_bytes": 1228804,
      "checksum": null
    }
  },
  "download_size": 1228804,
  "features": {
    "text": {
      "dtype": "string",
      "_type": "Value"
    },
    "label": {
      "names": [
        "ele",
        "int",
        "adv"
      ],
      "_type": "ClassLabel"
    }
  },
  "homepage": "https://github.com/nishkalavallabhi/OneStopEnglishCorpus",
  "license": "Creative Commons Attribution-ShareAlike 4.0 International License",
  "size_in_bytes": 3506843,
  "splits": {
    "train": {
      "name": "train",
      "num_bytes": 2278039,
      "num_examples": 567,
      "dataset_name": "onestop_english"
    }
  },
  "supervised_keys": {},
  "task_templates": [
    {
      "task": "text-classification",
      "label_column": "label"
    }
  ],
  "version": {
    "version_str": "1.1.0",
    "major": 1,
    "minor": 1,
    "patch": 0
  }
}