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61 lines
1.4 KiB
Plaintext
61 lines
1.4 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a91f3280",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Copyright (c) 2026 Microsoft Corporation.\n",
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"# Licensed under the MIT License."
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]
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},
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{
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"cell_type": "markdown",
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"id": "3f76dc60",
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"metadata": {},
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"source": [
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"## Basic sentence chunking with nltk\n",
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"\n",
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"The SentenceChunker class splits text into individual sentences by identifying sentence boundaries. It takes input text and returns a list where each element is a separate sentence, making it easy to process text at the sentence level."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "4c96d3cc",
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"metadata": {},
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"outputs": [],
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"source": [
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"from graphrag_chunking.sentence_chunker import SentenceChunker\n",
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"\n",
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"chunker = SentenceChunker()\n",
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"chunks = chunker.chunk(\"This is a test. Another sentence.\")\n",
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"print(chunks) # [\"This is a test.\", \"Another sentence.\"]"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.9"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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