diff --git "a/processing-rp_books.ipynb" "b/processing-rp_books.ipynb"
new file mode 100644--- /dev/null
+++ "b/processing-rp_books.ipynb"
@@ -0,0 +1,17710 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 93,
+ "metadata": {
+ "colab": {
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+ "height": 359,
+ "referenced_widgets": [
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+ "outputId": "5be5051d-aa2f-4103-e4f3-21436e605bf7"
+ },
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "VBox(children=(HTML(value='
\n",
+ " \n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " score | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " count | \n",
+ " 26372.000000 | \n",
+ "
\n",
+ " \n",
+ " mean | \n",
+ " 0.748563 | \n",
+ "
\n",
+ " \n",
+ " std | \n",
+ " 0.136647 | \n",
+ "
\n",
+ " \n",
+ " min | \n",
+ " 0.438285 | \n",
+ "
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+ " \n",
+ " 25% | \n",
+ " 0.631447 | \n",
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+ " \n",
+ " 50% | \n",
+ " 0.757510 | \n",
+ "
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+ " \n",
+ " 75% | \n",
+ " 0.867193 | \n",
+ "
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+ " \n",
+ " max | \n",
+ " 0.994440 | \n",
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+ " \n",
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+ " \n",
+ " \n"
+ ],
+ "application/vnd.google.colaboratory.intrinsic+json": {
+ "type": "dataframe",
+ "summary": "{\n \"name\": \"df\",\n \"rows\": 8,\n \"fields\": [\n {\n \"column\": \"score\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 9323.67899430167,\n \"min\": 0.1366471351440814,\n \"max\": 26372.0,\n \"samples\": [\n 0.748563445686399,\n 0.7575096189975739,\n 26372.0\n ],\n \"num_unique_values\": 8,\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"
+ }
+ },
+ "metadata": {},
+ "execution_count": 15
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "df.label.value_counts()"
+ ],
+ "metadata": {
+ "id": "bGyNruj3iKoC",
+ "outputId": "4b88fb66-b282-43f0-fe94-3f2a9eaaf883",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ }
+ },
+ "execution_count": 16,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "mild gibberish 21286\n",
+ "clean 5084\n",
+ "word salad 2\n",
+ "Name: label, dtype: int64"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 16
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "clean_ds = ds_graded.filter(lambda x: x['label']=='clean' and x['score']>= 0.6)\n",
+ "print(clean_ds)\n",
+ "\n",
+ "mild_ds = ds_graded.filter(lambda x: x['label']=='mild gibberish' and x['score']>= 0.75)\n",
+ "print(mild_ds)\n"
+ ],
+ "metadata": {
+ "id": "7gxQRAnSjQuL",
+ "outputId": "339bc459-b7f8-4b4f-f3c8-69d72834f0c0",
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+ ]
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+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "DatasetDict({\n",
+ " train: Dataset({\n",
+ " features: ['meta', 'text', 'first_25k', 'label', 'score'],\n",
+ " num_rows: 2923\n",
+ " })\n",
+ "})\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Filter: 0%| | 0/26372 [00:00, ? examples/s]"
+ ],
+ "application/vnd.jupyter.widget-view+json": {
+ "version_major": 2,
+ "version_minor": 0,
+ "model_id": "1001e7d5a48842edb831b40568117174"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "DatasetDict({\n",
+ " train: Dataset({\n",
+ " features: ['meta', 'text', 'first_25k', 'label', 'score'],\n",
+ " num_rows: 12711\n",
+ " })\n",
+ "})\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "\n",
+ "clean_ds.remove_columns('first_25k').push_to_hub(\"BEE-spoke-data/rp_books-en\",config_name=\"filtered-clean_grade\")"
+ ],
+ "metadata": {
+ "id": "0VU5SsSEqf7n",
+ "outputId": "0ca6df64-afa4-4c75-ea57-0d91be7bbd38",
+ "colab": {
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+ }
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+ "execution_count": 95,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Uploading the dataset shards: 0%| | 0/3 [00:00, ?it/s]"
+ ],
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+ },
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+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Creating parquet from Arrow format: 0%| | 0/1 [00:00, ?ba/s]"
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+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "README.md: 0%| | 0.00/2.50k [00:00, ?B/s]"
+ ],
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+ "text/plain": [
+ "CommitInfo(commit_url='https://huggingface.co/datasets/BEE-spoke-data/rp_books-en/commit/88b10d748959d25bf470c3b501ea53299c200d8c', commit_message='Upload dataset', commit_description='', oid='88b10d748959d25bf470c3b501ea53299c200d8c', pr_url=None, pr_revision=None, pr_num=None)"
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+ }
+ },
+ "metadata": {},
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+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "mild_ds.remove_columns('first_25k').push_to_hub(\"BEE-spoke-data/rp_books-en\",config_name=\"filtered-mild_grade\")"
+ ],
+ "metadata": {
+ "id": "d6yYzcpMqpKA",
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+ }
+ },
+ "execution_count": 96,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "Uploading the dataset shards: 0%| | 0/11 [00:00, ?it/s]"
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+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "CommitInfo(commit_url='https://huggingface.co/datasets/BEE-spoke-data/rp_books-en/commit/0ad811e6954489b5329690ab93044b8dda0bf7b0', commit_message='Upload dataset', commit_description='', oid='0ad811e6954489b5329690ab93044b8dda0bf7b0', pr_url=None, pr_revision=None, pr_num=None)"
+ ],
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+ "type": "string"
+ }
+ },
+ "metadata": {},
+ "execution_count": 96
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import math\n",
+ "\n",
+ "def basic_distribution_stats(numbers):\n",
+ " if not numbers:\n",
+ " return None\n",
+ "\n",
+ " # Calculate the mean\n",
+ " mean = sum(numbers) / len(numbers)\n",
+ "\n",
+ " # Calculate the median\n",
+ " sorted_numbers = sorted(numbers)\n",
+ " mid = len(sorted_numbers) // 2\n",
+ " median = (sorted_numbers[mid - 1] + sorted_numbers[mid]) / 2 if len(sorted_numbers) % 2 == 0 else sorted_numbers[mid]\n",
+ "\n",
+ " # Calculate the variance and standard deviation\n",
+ " variance = 0\n",
+ " for num in numbers:\n",
+ " variance += (num - mean) ** 2\n",
+ " variance /= len(numbers)\n",
+ " standard_deviation = math.sqrt(variance)\n",
+ "\n",
+ " return {\n",
+ " 'mean': mean,\n",
+ " 'median': median,\n",
+ " \"min\": min(numbers),\n",
+ " \"max\": max(numbers),\n",
+ " 'variance': variance,\n",
+ " 'standard_deviation': standard_deviation\n",
+ " }\n",
+ "#@markdown basic_distribution_stats\n",
+ "# Example usage:\n",
+ "numbers = [1.2, 3.4, 2.5, 5.6, 4.7]\n",
+ "stats = basic_distribution_stats(numbers)\n",
+ "print(\"Mean:\", stats['mean'])\n",
+ "print(\"Median:\", stats['median'])\n",
+ "print(\"Variance:\", stats['variance'])\n",
+ "print(\"Standard Deviation:\", stats['standard_deviation'])"
+ ],
+ "metadata": {
+ "cellView": "form",
+ "id": "qjMqw_I1kc1A",
+ "outputId": "70883833-f8ee-4e38-c0e6-8f88946f54d3",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ }
+ },
+ "execution_count": 32,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Mean: 3.4799999999999995\n",
+ "Median: 3.4\n",
+ "Variance: 2.4295999999999998\n",
+ "Standard Deviation: 1.558717421471897\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "basic_distribution_stats(clean_ds['train']['score'])"
+ ],
+ "metadata": {
+ "id": "jtwwnNy7kiCd",
+ "outputId": "06c59ee5-bc06-465e-bb7a-9548a8392bc9",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ }
+ },
+ "execution_count": 33,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "{'mean': 0.642014354467392,\n",
+ " 'median': 0.6205157935619354,\n",
+ " 'min': 0.4895378053188324,\n",
+ " 'max': 0.9694902896881104,\n",
+ " 'variance': 0.010988485032607827,\n",
+ " 'standard_deviation': 0.10482597499001775}"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 33
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "basic_distribution_stats(mild_ds['train']['score'])\n"
+ ],
+ "metadata": {
+ "id": "HfAvLMnak1bg",
+ "outputId": "431d8c6a-e2e1-4f14-b3b6-7772aeaa146d",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ }
+ },
+ "execution_count": 34,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "{'mean': 0.7740383158512025,\n",
+ " 'median': 0.7920204699039459,\n",
+ " 'min': 0.4629112780094147,\n",
+ " 'max': 0.994440495967865,\n",
+ " 'variance': 0.017140581955241218,\n",
+ " 'standard_deviation': 0.13092204533706772}"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 34
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import random\n",
+ "import json\n",
+ "xx = random.choice(clean_ds['train'])\n",
+ "print(json.dumps(xx['meta'], indent=2))\n",
+ "print(f\"score is: \", xx['score'])\n",
+ "print(xx['first_25k'][:1000])"
+ ],
+ "metadata": {
+ "id": "LpySECRIiPLk",
+ "outputId": "5e91d19c-dc05-4de3-ce18-54facaa9eb17",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ }
+ },
+ "execution_count": 94,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "{\n",
+ " \"publication_date\": 1881,\n",
+ " \"short_book_title\": \"Harper's Young People August 2 1881 by Various\",\n",
+ " \"url\": \"http://www.gutenberg.org/ebooks/48597\"\n",
+ "}\n",
+ "score is: 0.6047353744506836\n",
+ "Produced by Annie R. McGuire\n",
+ "\n",
+ "[Illustration: HARPER'S YOUNG PEOPLE]\n",
+ "\n",
+ " * * * * *\n",
+ "\n",
+ "VOL. II.--NO. 92. PUBLISHED BY HARPER & BROTHERS, NEW YORK. PRICE FOUR\n",
+ "CENTS.\n",
+ "\n",
+ "Tuesday, August 2, 1881. Copyright, 1881, by HARPER & BROTHERS. $1.50\n",
+ "per Year, In Advance.\n",
+ "\n",
+ " * * * * *\n",
+ "\n",
+ "[Illustration: TIM SHOWS THE MARKS OF CAPTAIN BABBIGE'S WHIP.]\n",
+ "\n",
+ "TIM AND TIP;\n",
+ "\n",
+ "OR, THE ADVENTURES OF A BOY AND A DOG.\n",
+ "\n",
+ "BY JAMES OTIS, AUTHOR OF \"TOBY TYLER,\" ETC.\n",
+ "\n",
+ "CHAPTER I.\n",
+ "\n",
+ "TIM'S FLIGHT.\n",
+ "\n",
+ " \"'STRAYED.--A boy from the home of the subscriber; and any one\n",
+ " returning him will be suitably rewarded. Said boy is about eleven\n",
+ " years old, has short light hair, a turned-up nose, and face very\n",
+ " much tanned. When last seen he had on a suit of blue clothes\n",
+ " considerably faded and worn, and had with him a yellow dog with a\n",
+ " long body, short legs, and a short tail. The boy answers to the\n",
+ " name of Tim, and the dog to that of Tip. Any information regarding\n",
+ " the runaway will be liberally paid for. Address Captain Rufus\n",
+ " Babbige, in care of th\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import random\n",
+ "\n",
+ "xx = random.choice(mild_ds['train'])\n",
+ "print(xx['meta'])\n",
+ "print(f\"score is: \", xx['score'])\n",
+ "print(xx['first_25k'][:2000])"
+ ],
+ "metadata": {
+ "id": "bGiM3Y7linEd",
+ "outputId": "e97e9450-808b-49d7-e5fd-d99dc4a2d938",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ }
+ },
+ "execution_count": 83,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "{'publication_date': 1895, 'short_book_title': 'The Story of the Other Wise Man by Henry van Dyke', 'url': 'http://www.gutenberg.org/ebooks/10679'}\n",
+ "score is: 0.8565642833709717\n",
+ "E-text prepared by Margaret Macaskill, David Garcia, and the Project\n",
+ "Gutenberg Online Distributed Proofreading Team\n",
+ "\n",
+ "THE STORY OF THE OTHER WISE MAN\n",
+ "\n",
+ "BY\n",
+ "\n",
+ "HENRY VAN \n",
+ "\n",
+ "[Illustration: \"IT IS THE SIGN\" HE SAID]\n",
+ "\n",
+ "CONTENTS\n",
+ "\n",
+ "INTRODUCTION\n",
+ "\n",
+ "THE SIGN IN THE SKY\n",
+ "\n",
+ "BY THE WATERS OF BABYLON\n",
+ "\n",
+ "FOR THE SAKE OF A LITTLE CHILD\n",
+ "\n",
+ "IN THE HIDDEN WAY OF SORROW\n",
+ "\n",
+ "A PEARL OF GREAT PRICE\n",
+ "\n",
+ "ILLUSTRATIONS\n",
+ "\n",
+ "\"'IT IS THE SIGN,' HE SAID\"\n",
+ "\n",
+ "\"HE CAUGHT IT UP AND READ\"\n",
+ "\n",
+ "\"'THERE IS NONE HERE SAVE ME\"'\n",
+ "\n",
+ "\"HE HEALED THE SICK\"\n",
+ "\n",
+ "\"THE OLD MAN FOLLOWED THE MULTITUDE\"\n",
+ "\n",
+ "\"THE OTHER WISE MAN HAD FOUND THE KING\"\n",
+ "\n",
+ " _Who seeks for heaven alone to save his soul,\n",
+ " May keep the path, but will not reach the goal;\n",
+ " While he who walks in love may wander far,\n",
+ " Yet God will bring him where the blessed are._\n",
+ "\n",
+ "You know the story of the Three Wise Men of the East, and how they\n",
+ "travelled from far away to offer their gifts at the manger-cradle in\n",
+ "Bethlehem. But have you ever heard the story of the Other Wise Man, who\n",
+ "also saw the star in its rising, and set out to follow it, yet did not\n",
+ "arrive with his brethren in the presence of the young child Jesus? Of\n",
+ "the great desire of this fourth pilgrim, and how it was denied, yet\n",
+ "accomplished in the denial; of his many wanderings and the probations of\n",
+ "his soul; of the long way of his seeking, and the strange way of his\n",
+ "finding, the One whom he sought--I would tell the tale as I have heard\n",
+ "fragments of it in the Hall of Dreams, in the palace of the Heart of\n",
+ "Man.\n",
+ "\n",
+ "THE SIGN IN THE SKY\n",
+ "\n",
+ "In the days when Augustus Caesar was master of many kings and Herod\n",
+ "reigned in Jerusalem, there lived in the city of Ecbatana, among the\n",
+ "mountains of Persia, a certain man named Artaban, the Median. His house\n",
+ "stood close to the outermost of the seven walls which encircled the\n",
+ "royal treasury. From his roof he could look over the rising battlements\n",
+ "of black and white and crimson and blue and red and silver and gold, to\n",
+ "the hill where the summer palace of the Parthian emperors glittered like\n",
+ "a jewel in a sev\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [],
+ "metadata": {
+ "id": "onIVfmOIj8Yo"
+ },
+ "execution_count": null,
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