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app.py
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# -*- coding: utf-8 -*-
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"""Kopie von HW1 (more instructed).ipynb
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Automatically generated by Colab.
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Original file is located at
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https://colab.research.google.com/drive/1vFJ6AROcCYNkZRIxpyHs9T1sf-bdB_jW
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"""
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"""## Pre-requisite code
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The code within this section will be used in the tasks. Please do not change these code lines.
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### SciQ loading and counting
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"""
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from dataclasses import dataclass
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import pickle
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import os
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nltk.download("stopwords", quiet=True)
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from nltk.corpus import stopwords as nltk_stopwords
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from nlp4web_codebase.ir.data_loaders.sciq import load_sciq
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import gradio as gr
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from typing import TypedDict
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from __future__ import annotations
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from dataclasses import asdict, dataclass
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import math
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from typing import Iterable, List, Optional, Type
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import tqdm
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from nlp4web_codebase.ir.data_loaders.dm import Document
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from nlp4web_codebase.ir.models import BaseRetriever
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from typing import Type
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from abc import abstractmethod
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from nlp4web_codebase.ir.data_loaders import Split
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import pytrec_eval
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import numpy as np
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LANGUAGE = "english"
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from dataclasses import dataclass
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import pickle
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import os
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nltk.download("stopwords", quiet=True)
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from nltk.corpus import stopwords as nltk_stopwords
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from nlp4web_codebase.ir.data_loaders.sciq import load_sciq
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import gradio as gr
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from typing import TypedDict
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from __future__ import annotations
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from dataclasses import asdict, dataclass
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import math
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from typing import Iterable, List, Optional, Type
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import tqdm
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from nlp4web_codebase.ir.data_loaders.dm import Document
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from nlp4web_codebase.ir.models import BaseRetriever
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from typing import Type
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from abc import abstractmethod
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from nlp4web_codebase.ir.data_loaders import Split
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import pytrec_eval
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import numpy as np
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from matplotlib import pyplot as plt
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from scipy.sparse._csc import csc_matrix
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# -*- coding: utf-8 -*-
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"""Kopie von HW1 (more instructed).ipynb
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Automatically generated by Colab.
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Original file is located at
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https://colab.research.google.com/drive/1vFJ6AROcCYNkZRIxpyHs9T1sf-bdB_jW
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"""
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"""## Pre-requisite code
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The code within this section will be used in the tasks. Please do not change these code lines.
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### SciQ loading and counting
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"""
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LANGUAGE = "english"
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