Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
ID sequence | Word sequence | Lemma sequence | POS sequence | Definition sequence | Lemma_sentence stringlengths 0 821 | sentence stringlengths 1 1.47k | Lemma_tfidf sequence | Lemma_tfidf_value sequence |
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"a soft greasy substance occurring in organic tissue and consisting of a mixture... | greasy soil typify hydrocarbon fat ester glycerol long chain organic acid | Greasy soils , which are typified by hydrocarbons and fats ( esters of glycerol with long chain organic acids ). | [
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... | stain include wide variety nonparticulate material give color even present very low concentration soiled object | Stains , which include the wide variety of nonparticulate materials which give color even when present in very low concentration on the soiled object . | [
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... | miscellaneous soil primarily include sticky substance liquid evaporate leave residue | Miscellaneous soils , which primarily include sticky substances and colorless liquids which evaporate to leave a residue . | [
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"the force by which one object attracts an... | however major factor bind dirt be attraction surface van der Waal's forces | However , a major factor in binding dirt is the attraction between surfaces that goes under the name of van der Waal's forces . | [
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"the quantity of unbalanced electricity in a body (either positive or negative) and construed as an exc... | obviously colloidal particle bear charge opposite sign kind be charged other kind be not attraction intensify tendency agglomerate greatly reinforce | Obviously , if colloidal particles bear charges of opposite sign or, if one kind is charged and the other kind is not , the attraction will be intensified and the tendency to agglomerate will be greatly reinforced . | [
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[
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"in essence; at bottom ... | washing process soil remove consist basically apply mechanical action loosen dirt particle dried matter presence water help float debris act as some extent dissolving agent solvating agent | The washing process whereby soils are removed consists basically of applying mechanical action to loosen the dirt particles and dried matter in the presence of water which helps to float off the debris and acts , to some extent , as a dissolving and solvating agent. | [
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"path",
"religion",
"path",
"labor",
"path",
"activism"
] | [
"not",
"care",
"belief",
"take",
"along",
"path",
"religion",
"path",
"labor",
"path",
"activism"
] | [
"ADV",
"VERB",
"NOUN",
"VERB",
"ADV",
"NOUN",
"NOUN",
"NOUN",
"NOUN",
"NOUN",
"NOUN"
] | [
"negation of a word or group of words",
"feel concern or interest",
"any cognitive content held as true",
"take somebody somewhere",
"with a forward motion",
"a course of conduct",
"a strong belief in a supernatural power or powers that control human destiny",
"a course of conduct",
"productive work... | not care belief take along path religion path labor path activism | "I do not care if your beliefs take you along a path of religion or a path of labor or a path of activism . | [
"not",
"care",
"belief",
"take",
"along",
"path",
"religion",
"path",
"labor",
"path",
"activism"
] | [
0.114,
0.2174,
0.2482,
0.1496,
0.2315,
0.7764,
0.2164,
0.7764,
0.2285,
0.7764,
0.3166
] |
[
1,
2,
3,
4,
5,
6,
7,
8,
9,
10
] | [
"are",
"here",
"paths",
"travel",
"course",
"thick",
"forest",
"seeking",
"human",
"dignity"
] | [
"be",
"here",
"path",
"travel",
"course",
"thick",
"forest",
"seek",
"human",
"dignity"
] | [
"VERB",
"ADV",
"NOUN",
"VERB",
"NOUN",
"ADJ",
"NOUN",
"VERB",
"ADJ",
"NOUN"
] | [
"happen, occur, take place",
"in or at this place; where the speaker or writer is",
"a course of conduct",
"change location; move, travel, or proceed, also metaphorically",
"general line of orientation",
"having component parts closely crowded together",
"the trees and other plants in a large densely wo... | be here path travel course thick forest seek human dignity | We are here because all our paths travel a blind course through a thick forest , seeking human dignity . | [
"be",
"here",
"path",
"travel",
"course",
"thick",
"forest",
"seek",
"human",
"dignity"
] | [
0.0966,
0.2473,
0.3721,
0.3412,
0.2606,
0.3374,
0.3909,
0.322,
0.2894,
0.3909
] |
End of preview. Expand
in Data Studio
Dataset Card for "SemCor – sense-tagged English corpus"
Description
This dataset is derived from the wsd_semcor dataset, 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 on Hugging Face.
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