README.md

---
dataset_info:
  features:
  - name: ID
    sequence: int64
  - name: Word
    sequence: string
  - name: Lemma
    sequence: string
  - name: POS
    sequence: string
  - name: Definition
    sequence: string
  - name: Lemma_sentence
    dtype: string
  - name: sentence
    dtype: string
  - name: Lemma_tfidf
    sequence: string
  - name: Lemma_tfidf_value
    sequence: float64
  splits:
  - name: train
    num_bytes: 24209901
    num_examples: 20138
  download_size: 8568417
  dataset_size: 24209901
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: mit
task_categories:
- text-classification
language:
- en
size_categories:
- 1K<n<10K
---
# Dataset Card for "SemCor – sense-tagged English corpus"

## Description
This dataset is derived from the [wsd_semcor dataset](https://huggingface.co/datasets/spdenisov/wsd_semcor), originally hosted on Hugging Face. It has been preprocessed for tasks related to Word Sense Disambiguation (WSD) and WordNet integration.

## Preprocessing
The original text data underwent the following preprocessing steps:
- Text splitting into individual words (lemmas).
- TF-IDF (Term Frequency-Inverse Document Frequency) analysis to understand the importance of words within the documents.

## Structure
The dataset contains:
- Lemmas: Words obtained from splitting the text data.
- TF-IDF values: Quantitative measures of word importance within the documents.

## Note
The number of elements in **Lemma** and **Lemma_tfidf** might not match. This is because **Lemma** is based on original dataset and might contain compound words, which might not be recognized by TF-IDF algorithm.

## Intended Use
This dataset is intended for use in WSD and WordNet integration tasks. It provides foundational data for natural language processing (NLP) research and applications, specifically focusing on understanding word meanings and contextual usage.

## Citation
Data sourced from [wsd_semcor dataset](https://huggingface.co/datasets/spdenisov/wsd_semcor) on Hugging Face.

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)