There are 3 ipynb file in the submission 1. SelectSentense.ipynb : this file selects 1000 random sentences from the dataset It creates 3 files 1. English.txt : contains the 1000 sentences in english 2. Hindi.txt : contains the 1000 sentences in hindi 3. Bangla.txt : contains the 1000 sentences in bangla
2. translation.ipynb: this file contains all model taining and Scores (except ChatGPTResponses and Scores)
it creates:
1. IndicTransOutput/englishToHindi.txt : contains the 1000 sentences in hindi(translated from english by IndicTrans model)
2. IndicTransOutput/hindiToEnglish.txt : contains the 1000 sentences in English(translated from Hindi by IndicTrans model)
3. IndicTransOutput/hindiToBangla.txt : contains the 1000 sentences in Bangla(translated from Hindi by IndicTrans model)
4. IndicTransOutput/banglaToHindi.txt : contains the 1000 sentences in Hindi(translated from Bangla by IndicTrans model)
5. nllbOutput/englishToHindi.txt : contains the 1000 sentences in hindi(translated from english by nllb model)
6. nllbOutput/hindiToEnglish.txt : contains the 1000 sentences in English(translated from Hindi by nllb model)
7. nllbOutput/hindiToBangla.txt : contains the 1000 sentences in Bangla(translated from Hindi by nllb model)
8. nllbOutput/banglaToHindi.txt : contains the 1000 sentences in Hindi(translated from Bangla by nllb model)
3. ChatGPTTranslation.ipynb : this file translates 50 sentenses using api of ChatGPT
it creates:
0. ChatGPT.txt : selects 50 sentences from data set.(Contains 50 sentences in English, Hindi and Bangla)
1. ChatGPTResponses/englishToHindi.txt : contains the 50 sentences in hindi(translated from english by ChatGPT)
2. ChatGPTResponses/hindiToEnglish.txt : contains the 50 sentences in English(translated from Hindi by ChatGPT)
3. ChatGPTResponses/hindiToBangla.txt : contains the 50 sentences in Bangla(translated from Hindi by ChatGPT)
4. ChatGPTResponses/banglaToHindi.txt : contains the 50 sentences in Hindi(translated from Bangla by ChatGPT)
4.Learnings.ipynb : this file contains the learnings from the project