Daniel-lopez/uclm_practice_model_fake_or_real_en
Text Classification • 0.1B • Updated • 2
words stringlengths 1 22 ⌀ | isreal int64 0 1 |
|---|---|
aardwolf | 0 |
aaron | 0 |
aback | 0 |
abacus | 0 |
abaft | 0 |
abalone | 0 |
abandon | 0 |
abandoned | 0 |
abandonment | 0 |
abandons | 0 |
abase | 0 |
abased | 0 |
abasement | 0 |
abash | 0 |
abashed | 0 |
abate | 0 |
abated | 0 |
abatement | 0 |
abates | 0 |
abattoir | 0 |
abattoirs | 0 |
abbe | 0 |
abbess | 0 |
abbey | 0 |
abbeys | 0 |
abbot | 0 |
abbots | 0 |
abbreviate | 0 |
abbreviated | 0 |
abbreviates | 0 |
abbreviating | 0 |
abbreviation | 0 |
abbreviations | 0 |
abdicate | 0 |
abdicated | 0 |
abdicates | 0 |
abdicating | 0 |
abdication | 0 |
abdomen | 0 |
abdomens | 0 |
abdominal | 0 |
abduct | 0 |
abducted | 0 |
abducting | 0 |
abduction | 0 |
abductions | 0 |
abductor | 0 |
abductors | 0 |
abducts | 0 |
abe | 0 |
abeam | 0 |
abel | 0 |
abele | 0 |
aberdeen | 0 |
aberrant | 0 |
aberration | 0 |
aberrations | 0 |
abet | 0 |
abets | 0 |
abetted | 0 |
abetting | 0 |
abeyance | 0 |
abhor | 0 |
abhorred | 0 |
abhorrence | 0 |
abhorrent | 0 |
abhors | 0 |
abide | 0 |
abided | 0 |
abides | 0 |
abiding | 0 |
abidjan | 0 |
abies | 0 |
abilities | 0 |
ability | 0 |
abject | 0 |
abjectly | 0 |
abjure | 0 |
abjured | 0 |
ablate | 0 |
ablates | 0 |
ablating | 0 |
ablation | 0 |
ablative | 0 |
ablaze | 0 |
able | 0 |
ablebodied | 0 |
abler | 0 |
ablest | 0 |
abloom | 0 |
ablution | 0 |
ablutions | 0 |
ably | 0 |
abnegation | 0 |
abnormal | 0 |
abnormalities | 0 |
abnormality | 0 |
abnormally | 0 |
aboard | 0 |
abode | 0 |
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This dataset contains fake words and real words. The fake words are classified as "1" and the real words are classified as "0"
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Models trained or fine-tuned on hidude562/Fake-and-real-words