Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
Commit
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Parent(s):
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README.md
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data_files:
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- split: train
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path: data/train-*
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---
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# Dataset Card for "SemCor"
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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data_files:
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- split: train
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path: data/train-*
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license: mit
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task_categories:
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- text-classification
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language:
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- en
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size_categories:
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- 1K<n<10K
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---
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# Dataset Card for "SemCor – sense-tagged English corpus"
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## Description
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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.
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## Preprocessing
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The original text data underwent the following preprocessing steps:
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- Text splitting into individual words (lemmas).
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- TF-IDF (Term Frequency-Inverse Document Frequency) analysis to understand the importance of words within the documents.
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## Structure
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The dataset contains:
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- Lemmas: Words obtained from splitting the text data.
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- TF-IDF values: Quantitative measures of word importance within the documents.
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## Intended Use
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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.
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## Citation
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Data sourced from [wsd_semcor dataset](https://huggingface.co/datasets/spdenisov/wsd_semcor) on Hugging Face.
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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