Exploration-Lab/CS779-Fall25

CS779-Fall 2025 IIT-Kanpur

Instructor: Dr. Ashutosh Modi

Assignment-3

There are 3 main tasks in Assignment-3:

1. Neural Network Implementation from Scratch for Word2Vec using Wikipedia Text
2. Naive Bayes Classifier for Topic classification on Wikipedia Articles
3. Expectation-Maximization Based clustering on Wikipedia Articles

The data can be fetched using the datasets API as follows:

from datasets import load_dataset

# Word2Vec Dataset
word2vec_train = load_dataset("Exploration-Lab/CS779-Fall25", "Assignment-3-word2vec", split="train")
word2vec_test = load_dataset("Exploration-Lab/CS779-Fall25", "Assignment-3-word2vec-analogy", split="test")

# Naive Bayes
naive_bayes_train = load_dataset("Exploration-Lab/CS779-Fall25", "Assignment-3-naive-bayes", split="train")
naive_bayes_test = load_dataset("Exploration-Lab/CS779-Fall25", "Assignment-3-naive-bayes", split="test")

# Expectation-Maximization
em_train = load_dataset("Exploration-Lab/CS779-Fall25", "Assignment-3-em", split="train")
em_test = load_dataset("Exploration-Lab/CS779-Fall25", "Assignment-3-em", split="test")

Assignment-4

This assignment involves Named Entity Recognition (NER) on a Hindi dataset (NED) on a custom dataset. The dataset consists of sentences with tokens and their corresponding NER tags. The list of NER tags includes:

• B-FESTIVAL
• B-GAME
• B-LANGUAGE
• B-LITERATURE
• B-LOCATION
• B-MISC
• B-NUMEX
• B-ORGANIZATION
• B-PERSON
• B-RELIGION
• B-TIMEX
• I-FESTIVAL
• I-GAME
• I-LANGUAGE
• I-LITERATURE
• I-LOCATION
• I-MISC
• I-NUMEX
• I-ORGANIZATION
• I-PERSON
• I-RELIGION
• I-TIMEX
• O

The data can be fetched using the datasets API as follows:

from datasets import load_dataset

# Train
train = load_dataset("Exploration-Lab/CS779-Fall25", "Assignment-4", split="train")
# Test
test = load_dataset("Exploration-Lab/CS779-Fall25", "Assignment-4", split="test")
# Validation
val = load_dataset("Exploration-Lab/CS779-Fall25", "Assignment-4", split="val")