| --- |
| license: cc-by-nc-nd-4.0 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: cs781_dataset/train.csv |
| - split: test |
| path: cs781_dataset/test.csv |
| - config_name: Assignment-1 |
| data_files: |
| - split: train |
| path: Assignment-1/train.parquet |
| - split: val |
| path: Assignment-1/validation.parquet |
| |
| |
| |
| |
| |
| |
|
|
| --- |
| # CS781-Fall 2026 IIT-Kanpur |
| Instructor: Dr. Ashutosh Modi |
|
|
| ## Assignment-3 |
| Use the `download_data.py` file in the Student Package to download the data for this assignment |
|
|
| ## Assignment-1 |
| There are 5 main tasks in Assignment-1: |
| 1. Explore Zipf's Law for multilingual data. |
| 2. N-gram language modeling. |
| 3. Neural Network Implementation from Scratch for Word2Vec for English-Hindi mixed corpora. |
| 4. Neural Network Language Model from scratch for English-Hindi mixed corpora. |
| 5. Byte-Pair encoding for subword tokenization and training a NLM model on the same. |
|
|
| The data can be fetched using the datasets API as follows: |
| ```python |
| from datasets import load_dataset |
| |
| # Assignment-1 Dataset |
| train = load_dataset("Exploration-Lab/CS781", data_files={"train": "Assignment-1/train.parquet"}, split="train", token=token) |
| val = load_dataset("Exploration-Lab/CS781", data_files={"val": "Assignment-1/validation.parquet"}, split="val", token=token) |
| test_en = load_dataset("Exploration-Lab/CS781", data_files={"en": "Assignment-1/analogy_test_en.parquet"}, split="en", token=token) |
| test_hi = load_dataset("Exploration-Lab/CS781", data_files={"hi": "Assignment-1/analogy_test_hi.parquet"}, split="hi", token=token) |
| |
| ``` |
