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haystack/tutorials/Tutorial5_Evaluation.ipynb
Julian Risch 54f776350c
Update evaluation tutorial to cover the new pipeline.eval() (#1765) 
* Replace old tutorial 5 with new code based on test cases

* Add latest docstring and tutorial changes

* Use pipeline.eval() in tutorial

* Add latest docstring and tutorial changes

* Restructure notebook

* Add latest docstring and tutorial changes

* Add dataframe example

* Add latest docstring and tutorial changes

* Get eval data from doc store

* Add latest docstring and tutorial changes

* Load data from doc store

* Add latest docstring and tutorial changes

* Clear outputs

* Add latest docstring and tutorial changes

* Change example and add python script

* Add latest docstring and tutorial changes

* Fetch aggregated multilabels from doc store

* Add latest docstring and tutorial changes

* Incorporate review feedback on text comments

* Add latest docstring and tutorial changes

* Add Notebook output

* Remove queries param from pipeline.eval()

* Add latest docstring and tutorial changes

* Add output with all metrics

* Add printing of multiple metrics to script

* Add latest docstring and tutorial changes

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2021-12-03 11:19:41 +01:00

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"cells": [
{
"cell_type": "markdown",
"source": [
"# Evaluation of a Pipeline and its Components\n",
"\n",
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/deepset-ai/haystack/blob/master/tutorials/Tutorial5_Evaluation.ipynb)\n",
"\n",
"To be able to make a statement about the quality of results a question-answering pipeline or any other pipeline in haystack produces, it is important to evaluate it. Furthermore, evaluation allows determining which components of the pipeline can be improved.\n",
"The results of the evaluation can be saved as CSV files, which contain all the information to calculate additional metrics later on or inspect individual predictions."
],
"metadata": {
"collapsed": true,
"id": "MGSXn0USOhtu",
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "markdown",
"source": [
"### Prepare environment\n",
"\n",
"#### Colab: Enable the GPU runtime\n",
"Make sure you enable the GPU runtime to experience decent speed in this tutorial.\n",
"**Runtime -> Change Runtime type -> Hardware accelerator -> GPU**\n",
"\n",
"<img src=\"https://raw.githubusercontent.com/deepset-ai/haystack/master/docs/_src/img/colab_gpu_runtime.jpg\">"
],
"metadata": {
"collapsed": false,
"id": "lEKOjCS5U7so"
}
},
{
"cell_type": "code",
"execution_count": null,
"source": [
"# Make sure you have a GPU running\n",
"!nvidia-smi"
],
"outputs": [],
"metadata": {
"pycharm": {
"name": "#%%\n"
},
"id": "xhFIMX_7U7ss",
"outputId": "285b2491-01e5-4bfd-cba9-c2279d4417c4",
"colab": {
"base_uri": "https://localhost:8080/"
}
}
},
{
"cell_type": "code",
"execution_count": null,
"source": [
"# Install the latest release of Haystack in your own environment \n",
"#! pip install farm-haystack\n",
"\n",
"# Install the latest master of Haystack\n",
"!pip install grpcio-tools==1.34.1\n",
"!pip install git+https://github.com/deepset-ai/haystack.git\n",
"\n",
"# If you run this notebook on Google Colab, you might need to\n",
"# restart the runtime after installing haystack."
],
"outputs": [],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "vgmFOp82Oht_",
"pycharm": {
"name": "#%%\n"
},
"outputId": "5bbcbb42-3a90-43a9-ebfd-598a98fa7143"
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"from haystack.modeling.utils import initialize_device_settings\n",
"devices, n_gpu = initialize_device_settings(use_cuda=True)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "markdown",
"source": [
"## Start an Elasticsearch server\n",
"You can start Elasticsearch on your local machine instance using Docker. If Docker is not readily available in your environment (eg., in Colab notebooks), then you can manually download and execute Elasticsearch from source."
],
"metadata": {
"collapsed": false
}
},
{
"cell_type": "code",
"execution_count": null,
"source": [
"# If Docker is available: Start Elasticsearch as docker container\n",
"# from haystack.utils import launch_es\n",
"# launch_es()\n",
"\n",
"# Alternative in Colab / No Docker environments: Start Elasticsearch from source\n",
"! wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.9.2-linux-x86_64.tar.gz -q\n",
"! tar -xzf elasticsearch-7.9.2-linux-x86_64.tar.gz\n",
"! chown -R daemon:daemon elasticsearch-7.9.2\n",
"\n",
"import os\n",
"from subprocess import Popen, PIPE, STDOUT\n",
"es_server = Popen(['elasticsearch-7.9.2/bin/elasticsearch'],\n",
" stdout=PIPE, stderr=STDOUT,\n",
" preexec_fn=lambda: os.setuid(1) # as daemon\n",
" )\n",
"# wait until ES has started\n",
"! sleep 30"
],
"outputs": [],
"metadata": {
"id": "tNoaWcDKOhuL",
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "markdown",
"source": [
"## Fetch, Store And Preprocess the Evaluation Dataset"
],
"metadata": {
"collapsed": false
}
},
{
"cell_type": "code",
"execution_count": null,
"source": [
"from haystack.utils import fetch_archive_from_http\n",
"\n",
"# Download evaluation data, which is a subset of Natural Questions development set containing 50 documents with one question per document and multiple annotated answers\n",
"doc_dir = \"../data/nq\"\n",
"s3_url = \"https://s3.eu-central-1.amazonaws.com/deepset.ai-farm-qa/datasets/nq_dev_subset_v2.json.zip\"\n",
"fetch_archive_from_http(url=s3_url, output_dir=doc_dir)"
],
"outputs": [],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "tTXxr6TAOhuz",
"pycharm": {
"name": "#%%\n"
},
"outputId": "586d4775-4354-4ed9-a72c-c30bedcdfbee"
}
},
{
"cell_type": "code",
"execution_count": null,
"source": [
"# make sure these indices do not collide with existing ones, the indices will be wiped clean before data is inserted\n",
"doc_index = \"tutorial5_docs\"\n",
"label_index = \"tutorial5_labels\""
],
"outputs": [],
"metadata": {
"id": "T-G7Ay2jU7s_"
}
},
{
"cell_type": "code",
"execution_count": null,
"source": [
"# Connect to Elasticsearch\n",
"from haystack.document_stores import ElasticsearchDocumentStore\n",
"\n",
"# Connect to Elasticsearch\n",
"document_store = ElasticsearchDocumentStore(host=\"localhost\", username=\"\", password=\"\", index=doc_index,\n",
" label_index=label_index, embedding_field=\"emb\",\n",
" embedding_dim=768, excluded_meta_data=[\"emb\"])"
],
"outputs": [],
"metadata": {
"id": "B_NEtezLOhu5",
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": null,
"source": [
"from haystack.nodes import PreProcessor\n",
"\n",
"# Add evaluation data to Elasticsearch Document Store\n",
"# We first delete the custom tutorial indices to not have duplicate elements\n",
"# and also split our documents into shorter passages using the PreProcessor\n",
"preprocessor = PreProcessor(\n",
" split_length=200,\n",
" split_overlap=0,\n",
" split_respect_sentence_boundary=False,\n",
" clean_empty_lines=False,\n",
" clean_whitespace=False\n",
")\n",
"document_store.delete_documents(index=doc_index)\n",
"document_store.delete_documents(index=label_index)\n",
"\n",
"# The add_eval_data() method converts the given dataset in json format into Haystack document and label objects. Those objects are then indexed in their respective document and label index in the document store. The method can be used with any dataset in SQuAD format.\n",
"document_store.add_eval_data(\n",
" filename=\"../data/nq/nq_dev_subset_v2.json\",\n",
" doc_index=doc_index,\n",
" label_index=label_index,\n",
" preprocessor=preprocessor\n",
")"
],
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"source": [
"## Initialize the Two Components of an ExtractiveQAPipeline: Retriever and Reader"
],
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"source": [
"# Initialize Retriever\n",
"from haystack.nodes import ElasticsearchRetriever\n",
"retriever = ElasticsearchRetriever(document_store=document_store)\n",
"# Alternative: Evaluate dense retrievers (DensePassageRetriever or EmbeddingRetriever)\n",
"# DensePassageRetriever uses two separate transformer based encoders for query and document.\n",
"# In contrast, EmbeddingRetriever uses a single encoder for both.\n",
"# Please make sure the \"embedding_dim\" parameter in the DocumentStore above matches the output dimension of your models!\n",
"# Please also take care that the PreProcessor splits your files into chunks that can be completely converted with\n",
"# the max_seq_len limitations of Transformers\n",
"# The SentenceTransformer model \"all-mpnet-base-v2\" generally works well with the EmbeddingRetriever on any kind of English text.\n",
"# For more information check out the documentation at: https://www.sbert.net/docs/pretrained_models.html\n",
"# from haystack.retriever import DensePassageRetriever, EmbeddingRetriever\n",
"# retriever = DensePassageRetriever(document_store=document_store,\n",
"# query_embedding_model=\"facebook/dpr-question_encoder-single-nq-base\",\n",
"# passage_embedding_model=\"facebook/dpr-ctx_encoder-single-nq-base\",\n",
"# use_gpu=True,\n",
"# max_seq_len_passage=256,\n",
"# embed_title=True)\n",
"# retriever = EmbeddingRetriever(document_store=document_store, model_format=\"sentence_transformers\",\n",
"# embedding_model=\"all-mpnet-base-v2\")\n",
"# document_store.update_embeddings(retriever, index=doc_index)"
],
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"cell_type": "code",
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"source": [
"# Initialize Reader\n",
"from haystack.nodes import FARMReader\n",
"\n",
"reader = FARMReader(\"deepset/roberta-base-squad2\", top_k=4, return_no_answer=True)\n",
"\n",
"# Define a pipeline consisting of the initialized retriever and reader\n",
"from haystack.pipelines import ExtractiveQAPipeline\n",
"pipeline = ExtractiveQAPipeline(reader=reader, retriever=retriever)\n",
"\n",
"# The evaluation also works with any other pipeline.\n",
"# For example you could use a DocumentSearchPipeline as an alternative:\n",
"# from haystack.pipelines import DocumentSearchPipeline\n",
"# pipeline = DocumentSearchPipeline(retriever=retriever)"
],
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"source": [
"## Evaluation of an ExtractiveQAPipeline\n",
"Here we evaluate retriever and reader in open domain fashion on the full corpus of documents i.e. a document is considered\n",
"correctly retrieved if it contains the gold answer string within it. The reader is evaluated based purely on the\n",
"predicted answer string, regardless of which document this came from and the position of the extracted span.\n",
"\n",
"The generation of predictions is seperated from the calculation of metrics. This allows you to run the computation-heavy model predictions only once and then iterate flexibly on the metrics or reports you want to generate.\n"
],
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"source": [
"from haystack.schema import EvaluationResult, MultiLabel\n",
"\n",
"# We can load evaluation labels from the document store\n",
"eval_labels = document_store.get_all_labels_aggregated(drop_negative_labels=True, drop_no_answers=False)\n",
"\n",
"# Alternative: Define queries and labels directly\n",
"# from haystack.schema import Answer, Document, Label, Span\n",
"# eval_labels = [\n",
"# MultiLabel(labels=[Label(query=\"who is written in the book of life\",\n",
"# answer=Answer(answer=\"every person who is destined for Heaven or the World to Come\",\n",
"# offsets_in_context=[Span(374, 434)]),\n",
"# document=Document(id='1b090aec7dbd1af6739c4c80f8995877-0',\n",
"# content_type=\"text\",\n",
"# content='Book of Life - wikipedia Book of Life Jump to: navigation, search This article is about the book mentioned in Christian and Jewish religious teachings. For other uses, see The Book of Life. In Christianity and Judaism, the Book of Life (Hebrew: ספר החיים, transliterated Sefer HaChaim; Greek: βιβλίον τῆς ζωῆς Biblíon tēs Zōēs) is the book in which God records the names of every person who is destined for Heaven or the World to Come. According to the Talmud it is open on Rosh Hashanah, as is its analog for the wicked, the Book of the Dead. For this reason extra mention is made for the Book of Life during Amidah recitations during the Days of Awe, the ten days between Rosh Hashanah, the Jewish new year, and Yom Kippur, the day of atonement (the two High Holidays, particularly in the prayer Unetaneh Tokef). Contents (hide) 1 In the Hebrew Bible 2 Book of Jubilees 3 References in the New Testament 4 The eschatological or annual roll-call 5 Fundraising 6 See also 7 Notes 8 References In the Hebrew Bible(edit) In the Hebrew Bible the Book of Life - the book or muster-roll of God - records forever all people considered righteous before God'),\n",
"# is_correct_answer=True,\n",
"# is_correct_document=True,\n",
"# origin=\"gold-label\")])\n",
"# ]\n",
"\n",
"# Similar to pipeline.run() we can execute pipeline.eval()\n",
"eval_result = pipeline.eval(\n",
" labels=eval_labels,\n",
" params={\"Retriever\": {\"top_k\": 5}}\n",
")"
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{
"data": {
"text/plain": " content \\\n0 people considered righteous before God. God has such a book, and to be blott... \n1 as adversaries (of God). Also, according to ib. xxxvi. 10, one who contrives... \n2 the citizens' registers. The life which the righteous participate in is to b... \n3 apostles' names are ``written in heaven'' (Luke x. 20), or ``the fellow-work... \n4 The Absolutely True Diary of a Part-Time Indian - wikipedia The Absolutely T... \n\n document_id type \\\n0 1b090aec7dbd1af6739c4c80f8995877-1 document \n1 1b090aec7dbd1af6739c4c80f8995877-2 document \n2 1b090aec7dbd1af6739c4c80f8995877-6 document \n3 1b090aec7dbd1af6739c4c80f8995877-3 document \n4 e9260cbbc129f4246ee8fcfbbe385822-0 document \n\n gold_document_ids \\\n0 [1b090aec7dbd1af6739c4c80f8995877-0, 1b090aec7dbd1af6739c4c80f8995877-0] \n1 [1b090aec7dbd1af6739c4c80f8995877-0, 1b090aec7dbd1af6739c4c80f8995877-0] \n2 [1b090aec7dbd1af6739c4c80f8995877-0, 1b090aec7dbd1af6739c4c80f8995877-0] \n3 [1b090aec7dbd1af6739c4c80f8995877-0, 1b090aec7dbd1af6739c4c80f8995877-0] \n4 [1b090aec7dbd1af6739c4c80f8995877-0, 1b090aec7dbd1af6739c4c80f8995877-0] \n\n gold_document_contents \\\n0 [Book of Life - wikipedia Book of Life Jump to: navigation, search This arti... \n1 [Book of Life - wikipedia Book of Life Jump to: navigation, search This arti... \n2 [Book of Life - wikipedia Book of Life Jump to: navigation, search This arti... \n3 [Book of Life - wikipedia Book of Life Jump to: navigation, search This arti... \n4 [Book of Life - wikipedia Book of Life Jump to: navigation, search This arti... \n\n gold_id_match answer_match gold_id_or_answer_match rank node \\\n0 0.0 0.0 0.0 1 Retriever \n1 0.0 0.0 0.0 2 Retriever \n2 0.0 0.0 0.0 3 Retriever \n3 0.0 0.0 0.0 4 Retriever \n4 0.0 0.0 0.0 5 Retriever \n\n query \n0 who is written in the book of life \n1 who is written in the book of life \n2 who is written in the book of life \n3 who is written in the book of life \n4 who is written in the book of life ",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>content</th>\n <th>document_id</th>\n <th>type</th>\n <th>gold_document_ids</th>\n <th>gold_document_contents</th>\n <th>gold_id_match</th>\n <th>answer_match</th>\n <th>gold_id_or_answer_match</th>\n <th>rank</th>\n <th>node</th>\n <th>query</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>people considered righteous before God. God has such a book, and to be blott...</td>\n <td>1b090aec7dbd1af6739c4c80f8995877-1</td>\n <td>document</td>\n <td>[1b090aec7dbd1af6739c4c80f8995877-0, 1b090aec7dbd1af6739c4c80f8995877-0]</td>\n <td>[Book of Life - wikipedia Book of Life Jump to: navigation, search This arti...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>1</td>\n <td>Retriever</td>\n <td>who is written in the book of life</td>\n </tr>\n <tr>\n <th>1</th>\n <td>as adversaries (of God). Also, according to ib. xxxvi. 10, one who contrives...</td>\n <td>1b090aec7dbd1af6739c4c80f8995877-2</td>\n <td>document</td>\n <td>[1b090aec7dbd1af6739c4c80f8995877-0, 1b090aec7dbd1af6739c4c80f8995877-0]</td>\n <td>[Book of Life - wikipedia Book of Life Jump to: navigation, search This arti...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>2</td>\n <td>Retriever</td>\n <td>who is written in the book of life</td>\n </tr>\n <tr>\n <th>2</th>\n <td>the citizens' registers. The life which the righteous participate in is to b...</td>\n <td>1b090aec7dbd1af6739c4c80f8995877-6</td>\n <td>document</td>\n <td>[1b090aec7dbd1af6739c4c80f8995877-0, 1b090aec7dbd1af6739c4c80f8995877-0]</td>\n <td>[Book of Life - wikipedia Book of Life Jump to: navigation, search This arti...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>3</td>\n <td>Retriever</td>\n <td>who is written in the book of life</td>\n </tr>\n <tr>\n <th>3</th>\n <td>apostles' names are ``written in heaven'' (Luke x. 20), or ``the fellow-work...</td>\n <td>1b090aec7dbd1af6739c4c80f8995877-3</td>\n <td>document</td>\n <td>[1b090aec7dbd1af6739c4c80f8995877-0, 1b090aec7dbd1af6739c4c80f8995877-0]</td>\n <td>[Book of Life - wikipedia Book of Life Jump to: navigation, search This arti...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>4</td>\n <td>Retriever</td>\n <td>who is written in the book of life</td>\n </tr>\n <tr>\n <th>4</th>\n <td>The Absolutely True Diary of a Part-Time Indian - wikipedia The Absolutely T...</td>\n <td>e9260cbbc129f4246ee8fcfbbe385822-0</td>\n <td>document</td>\n <td>[1b090aec7dbd1af6739c4c80f8995877-0, 1b090aec7dbd1af6739c4c80f8995877-0]</td>\n <td>[Book of Life - wikipedia Book of Life Jump to: navigation, search This arti...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>5</td>\n <td>Retriever</td>\n <td>who is written in the book of life</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
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"metadata": {},
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}
],
"source": [
"# The EvaluationResult contains a pandas dataframe for each pipeline node.\n",
"# That's why there are two dataframes in the EvaluationResult of an ExtractiveQAPipeline.\n",
"\n",
"retriever_result = eval_result[\"Retriever\"]\n",
"retriever_result.head()"
],
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{
"data": {
"text/plain": " answer \\\n0 \n1 those whose names are written in the Book of Life from the foundation of the... \n2 only the names of the righteous \n3 those who are found written in the book and who shall escape the troubles pr... \n0 her cousin \n\n document_id offsets_in_document \\\n0 None [{'start': 0, 'end': 0}] \n1 1b090aec7dbd1af6739c4c80f8995877-3 [{'start': 576, 'end': 658}] \n2 1b090aec7dbd1af6739c4c80f8995877-1 [{'start': 498, 'end': 529}] \n3 1b090aec7dbd1af6739c4c80f8995877-6 [{'start': 135, 'end': 305}] \n0 965a125f65658579529b39f8e4344969-3 [{'start': 423, 'end': 433}] \n\n context \\\n0 None \n1 ohn of Patmos. As described, only those whose names are written in the Book ... \n2 . The Psalmist likewise speaks of the Book of Life in which only the names o... \n3 those who are found written in the book and who shall escape the troubles pr... \n0 ng a story in the newspaper of a 12-year-old girl getting pregnant by her co... \n\n type \\\n0 answer \n1 answer \n2 answer \n3 answer \n0 answer \n\n gold_answers \\\n0 [all people considered righteous before God, every person who is destined fo... \n1 [all people considered righteous before God, every person who is destined fo... \n2 [all people considered righteous before God, every person who is destined fo... \n3 [all people considered righteous before God, every person who is destined fo... \n0 [Ethel ``Edy'' Proctor] \n\n gold_offsets_in_documents \\\n0 [[Span(start=1107, end=1149)], [Span(start=374, end=434)]] \n1 [[Span(start=1107, end=1149)], [Span(start=374, end=434)]] \n2 [[Span(start=1107, end=1149)], [Span(start=374, end=434)]] \n3 [[Span(start=1107, end=1149)], [Span(start=374, end=434)]] \n0 [[Span(start=181, end=202)]] \n\n gold_document_ids \\\n0 [1b090aec7dbd1af6739c4c80f8995877-0, 1b090aec7dbd1af6739c4c80f8995877-0] \n1 [1b090aec7dbd1af6739c4c80f8995877-0, 1b090aec7dbd1af6739c4c80f8995877-0] \n2 [1b090aec7dbd1af6739c4c80f8995877-0, 1b090aec7dbd1af6739c4c80f8995877-0] \n3 [1b090aec7dbd1af6739c4c80f8995877-0, 1b090aec7dbd1af6739c4c80f8995877-0] \n0 [965a125f65658579529b39f8e4344969-3] \n\n exact_match f1 rank node \\\n0 0.0 0.000000 1 Reader \n1 0.0 0.083333 2 Reader \n2 0.0 0.200000 3 Reader \n3 0.0 0.111111 4 Reader \n0 0.0 0.000000 1 Reader \n\n query \n0 who is written in the book of life \n1 who is written in the book of life \n2 who is written in the book of life \n3 who is written in the book of life \n0 who was the girl in the video brenda got a baby ",
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},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"reader_result = eval_result[\"Reader\"]\n",
"reader_result.head()"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"# We can filter for all documents retrieved for a given query\n",
"retriever_book_of_life = retriever_result[retriever_result['query'] == \"who is written in the book of life\"]"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"# We can also filter for all answers predicted for a given query\n",
"reader_book_of_life = reader_result[reader_result['query'] == \"who is written in the book of life\"]"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"# Save the evaluation result so that we can reload it later and calculate evaluation metrics without running the pipeline again.\n",
"eval_result.save(\"../\")"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "markdown",
"source": [
"## Calculating Evaluation Metrics\n",
"Load an EvaluationResult to quickly calculate standard evaluation metrics for all predictions, such as F1-score of each individual prediction of the Reader node or recall of the retriever."
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "code",
"execution_count": 10,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Retriever - Recall (single relevant document): 0.38\n",
"Retriever - Recall (multiple relevant documents): 0.38\n",
"Retriever - Mean Reciprocal Rank: 0.23433333333333334\n",
"Retriever - Precision: 0.07600000000000001\n",
"Retriever - Mean Average Precision: 0.23433333333333334\n",
"Reader - F1-Score: 0.7578128538128539\n",
"Reader - Exact Match: 0.72\n"
]
}
],
"source": [
"saved_eval_result = EvaluationResult.load(\"../\")\n",
"metrics = saved_eval_result.calculate_metrics()\n",
"print(f'Retriever - Recall (single relevant document): {metrics[\"Retriever\"][\"recall_single_hit\"]}')\n",
"print(f'Retriever - Recall (multiple relevant documents): {metrics[\"Retriever\"][\"recall_multi_hit\"]}')\n",
"print(f'Retriever - Mean Reciprocal Rank: {metrics[\"Retriever\"][\"mrr\"]}')\n",
"print(f'Retriever - Precision: {metrics[\"Retriever\"][\"precision\"]}')\n",
"print(f'Retriever - Mean Average Precision: {metrics[\"Retriever\"][\"map\"]}')\n",
"\n",
"print(f'Reader - F1-Score: {metrics[\"Reader\"][\"f1\"]}')\n",
"print(f'Reader - Exact Match: {metrics[\"Reader\"][\"exact_match\"]}')"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "markdown",
"source": [
"## Generating an Evaluation Report\n",
"A summary of the evaluation results can be printed to get a quick overview. It includes some aggregated metrics and also shows a few wrongly predicted examples."
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "code",
"execution_count": 15,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"================== Evaluation Report ==================\n",
"=======================================================\n",
" Pipeline Overview\n",
"=======================================================\n",
" Query\n",
" |\n",
" |\n",
" Retriever\n",
" |\n",
" | recall_single_hit: 0.42\n",
" | recall_single_hit_top_1: 0.42\n",
" |\n",
" Reader\n",
" |\n",
" | exact_match: 0.72\n",
" | exact_match_top_1: 0.48\n",
" | f1: 0.758\n",
" | f1_top_1: 0.5\n",
" |\n",
" Output\n",
"=======================================================\n",
"\n",
" Wrong Retriever Examples\n",
"=======================================================\n",
"Query: \n",
" \twho is written in the book of life\n",
"Gold Document Ids: \n",
" \t1b090aec7dbd1af6739c4c80f8995877-0\n",
" \t1b090aec7dbd1af6739c4c80f8995877-0\n",
"Metrics: \n",
" \trecall_multi_hit: 0.0\n",
" \trecall_single_hit: 0.0\n",
" \tprecision: 0.0\n",
" \tmap: 0.0\n",
" \tmrr: 0.0\n",
"Documents: \n",
" \tcontent: people considered righteous before God. God has such a book, and to be blotted out of it signifies death. It is with reference to the Book of Life that the holy remnant is spoken of as being written unto life in Jerusalem; compare also Ezekiel ix. 4, where one of the six heavenly envoys ``who had the scribe's inkhorn upon his loins'' is told to mark the righteous for life, while the remainder of the inhabitants of Jerusalem are doomed. The Psalmist likewise speaks of the Book of Life in which only the names of the righteous are written ``and from which the unrighteous are blotted out''. Even the tears of men are recorded in this Book of God. ``Every one that shall be found written in the book ... shall awake to everlasting life''. This book is probably identical with the ``Book of Remembrance'' in which are recorded the deeds of those that fear the Lord. Book of Jubilees(edit) The Book of Jubilees speaks of two heavenly tablets or books: a Book of Life for the righteous, and a Book of Death for those that walk in the paths of impurity and are written down on the heavenly tablets\n",
" \tdocument_id: 1b090aec7dbd1af6739c4c80f8995877-1\n",
" \tgold_id_match: 0.0\n",
" \tanswer_match: 0.0\n",
" \tgold_id_or_answer_match: 0.0\n",
" \trank: 1\n",
"\n",
" \tcontent: as adversaries (of God). Also, according to ib. xxxvi. 10, one who contrives evil against his neighbor will be blotted out of the Book of Remembrance of men, and will not be written in the Book of Life, but in the Book of Perdition. In Dan. vii. 10 and Enoch xlvii. 3 ``the Ancient of Days'' is described as seated upon His throne of glory with ``the Book'' or ``the Books of Life'' (``of the Living'') opened before Him. So are, according to Enoch civ. 1, the righteous ``written before the glory of the Great One,'' and, according to Enoch cviii. 3, the transgressors ``blotted out of the Book of Life and out of the books of the holy ones.'' To this Book of Life reference is made also in Hermas (Vision i. 3; Mandate viii.; Similitude ii.); in Rev. iii. 5, xiii. 8, xvii. 8, xx. 12-15, where ``two Books'' are spoken of as being ``opened before the throne, the Book of Life, and the Book of Death, in which latter the unrighteous are recorded together with their evil deeds, in order to be cast into the lake of fire.'' It is the Book of Life in which the\n",
" \tdocument_id: 1b090aec7dbd1af6739c4c80f8995877-2\n",
" \tgold_id_match: 0.0\n",
" \tanswer_match: 0.0\n",
" \tgold_id_or_answer_match: 0.0\n",
" \trank: 2\n",
"\n",
" \tcontent: the citizens' registers. The life which the righteous participate in is to be understood in a temporal sense. In Dan. xii. 1, however, those who are found written in the book and who shall escape the troubles preparatory to the coming of the Messianic kingdom are they who, together with the risen martyrs, are destined to share in the everlasting life referred to in verse 2. The eternal life is certainly meant in Enoch xlvii. 3, civ. 1, cviii. 3, and frequently in the New Testament (especially in Revelation). The Targum (Isa. iv. 3; Ezek. xiii. 9) speaks of the ``Book of Eternal Life.'' Temporal life is apparently prayed for in the liturgical formula: ``Inscribe us in the Book of Life'' (see Atonement, Day of). The Mishnah tells us that the deeds of every human being are recorded in a book (Abot, ii. 1; see iii. 16). The Sefer Ḥasidim (xxxiii) pointedly adds that God is in no need of a book of records; ``the Torah speaks the language of man''; i.e., figuratively. Fundraising(edit) A book of life motif is frequently found in Jewish houses of worship. It is both a decorative feature and fundraiser. Some synagogues have raised money\n",
" \tdocument_id: 1b090aec7dbd1af6739c4c80f8995877-6\n",
" \tgold_id_match: 0.0\n",
" \tanswer_match: 0.0\n",
" \tgold_id_or_answer_match: 0.0\n",
" \trank: 3\n",
"\n",
" \tcontent: apostles' names are ``written in heaven'' (Luke x. 20), or ``the fellow-workers'' of Paul (Phil. iv. 3), and ``the assembly of the first-born'' (Heb. xii. 23; compare I Clem. xlv.). To these Books of Records allusion is made also in Enoch lxxxi. 4, lxxxix. 61-77, xc. 17-20, xcviii. 76, civ. 7; Apoc. Baruch, xxiv. 1; Ascensio Isa. ix. 20. References in the New Testament(edit) The Book of Life is referred to seven times in the Book of Revelation (3:5 13:8 17:8 20:12 20:15 21:27 22:19) one of the books of the New Testament, attributed to John of Patmos. As described, only those whose names are written in the Book of Life from the foundation of the world, and have not been blotted out by the Lamb, are saved at the Last Judgment; all others are doomed. And whosoever was not found written in the book of life was cast into the lake of fire (Rev. 20:15, King James Version). And I saw the dead, small and great, stand before God; and the books were opened: and another book was opened, which is the book of life: and the dead were judged out of those things which were written in the\n",
" \tdocument_id: 1b090aec7dbd1af6739c4c80f8995877-3\n",
" \tgold_id_match: 0.0\n",
" \tanswer_match: 0.0\n",
" \tgold_id_or_answer_match: 0.0\n",
" \trank: 4\n",
"\n",
" \tcontent: The Absolutely True Diary of a Part-Time Indian - wikipedia The Absolutely True Diary of a Part-Time Indian Jump to: navigation, search The Absolutely True Diary of a Part Time Indian First edition cover Author Sherman Alexie Illustrator Ellen Forney Cover artist Kirk Benshoff Country United States Language English Genre Young adult fiction Publisher Little, Brown and Company Publication date September 12, 2007 Media type Print (hardcover & paperback) Pages 230 ISBN 978-0-316-01368-0 OCLC 154698238 LC Class PZ7.A382 Ab 2007 The Absolutely True Diary of a Part Time Indian is a 2007 novel for young adults written by Sherman Alexie and illustrated by Ellen Forney. The book won several awards, and was the first young adult fiction work by Alexie, a stand-up comedian, screenwriter, film producer, and songwriter who has previously written adult novels, short stories, poems, and screenplays. Alexie stated, ``I (wrote the book) because so many librarians, teachers, and teenagers kept asking me to write one.'' The Absolutely True Diary is a first-person narrative from the perspective of Native American teenager Arnold Spirit Jr., also known as ``Junior'', a 14-year-old budding cartoonist. The book is a bildungsroman, detailing Junior's life on the Spokane Indian Reservation, and his decision,\n",
" \tdocument_id: e9260cbbc129f4246ee8fcfbbe385822-0\n",
" \tgold_id_match: 0.0\n",
" \tanswer_match: 0.0\n",
" \tgold_id_or_answer_match: 0.0\n",
" \trank: 5\n",
"_______________________________________________________\n",
"Query: \n",
" \twhat is the packing factor of sic in that structure\n",
"Gold Document Ids: \n",
" \t\n",
"Metrics: \n",
" \trecall_multi_hit: 0.0\n",
" \trecall_single_hit: 0.0\n",
" \tprecision: 0.0\n",
" \tmap: 0.0\n",
" \tmrr: 0.0\n",
"Documents: \n",
" \tcontent: viewed as a pair of intersecting face-centered cubic lattices, with each separated by 1/4 of the width of the unit cell in each dimension. Many compound semiconductors such as gallium arsenide, β-silicon carbide, and indium antimonide adopt the analogous zincblende structure, where each atom has nearest neighbors of an unlike element. Zincblende's space group is F43m, but many of its structural properties are quite similar to the diamond structure. The atomic packing factor of the diamond cubic structure (the proportion of space that would be filled by spheres that are centered on the vertices of the structure and are as large as possible without overlapping) is π√3/16 ≈ 0.34, significantly smaller (indicating a less dense structure) than the packing factors for the face-centered and body-centered cubic lattices. Zincblende structures have higher packing factors than 0.34 depending on the relative sizes of their two component atoms. The first-, second-, third-, fourth- and fifth-nearest-neighbor distances in units of the cubic lattice constant are √3/4, √2/2, √11/4, 1 and √19/4, respectively. Mathematical structure(edit) Mathematically, the points of the diamond cubic structure can be given coordinates as a subset of a three-dimensional integer lattice by using a cubic unit cell four units across. With\n",
" \tdocument_id: 573abb58a7f9db2c4a60fcfedb2bb632-1\n",
" \tgold_id_match: 0.0\n",
" \tanswer_match: 0.0\n",
" \tgold_id_or_answer_match: 0.0\n",
" \trank: 1\n",
"\n",
" \tcontent: the octet truss, have been found to be more effective for this purpose. See also(edit) Allotropes of carbon Crystallography Laves graph Triakis truncated tetrahedral honeycomb References(edit) Jump up ^ Kobashi, Koji (2005), ``2.1 Structure of diamond'', Diamond films: chemical vapor deposition for oriented and heteroepitaxial growth, Elsevier, p. 9, ISBN 978-0-08-044723-0 . Jump up ^ Wiberg, Egon; Wiberg, Nils; Holleman, Arnold Frederick (2001), Inorganic chemistry, Academic Press, p. 1300, ISBN 978-0-12-352651-9 . Jump up ^ Askeland, Donald R.; Phulé, Pradeep Prabhakar (2006), ``Example 3-15: Determining the Packing Factor for Diamond Cubic Silicon'', The Science and Engineering of Materials, Cengage Learning, p. 82, ISBN 978-0-534-55396-8 . Jump up ^ Novikov, Vladimir (2003), Concise Dictionary of Materials Science: Structure and Characterization of Polycrystalline Materials, CRC Press, p. 9, ISBN 978-0-8493-0970-0 . ^ Jump up to: Nagy, Benedek; Strand, Robin (2009), ``Neighborhood sequences in the diamond grid -- algorithms with four neighbors'', Combinatorial Image Analysis: 13th International Workshop, IWCIA 2009, Playa Del Carmen, Mexico, November 24--27, 2009, Proceedings, Lecture Notes in Computer Science, 5852, Springer-Verlag, pp. 109--121, Bibcode:2009LNCS.5852...109N, doi:10.1007/978-3-642-10210-3_9 . ^ Jump up to: Eppstein, David (2009), ``Isometric diamond subgraphs'', Proc. 16th International Symposium on Graph Drawing, Heraklion, Crete, 2008, Lecture Notes in\n",
" \tdocument_id: 573abb58a7f9db2c4a60fcfedb2bb632-5\n",
" \tgold_id_match: 0.0\n",
" \tanswer_match: 0.0\n",
" \tgold_id_or_answer_match: 0.0\n",
" \trank: 2\n",
"\n",
" \tcontent: these coordinates, the points of the structure have coordinates (x, y, z) satisfying the equations x = y = z (mod 2), and x + y + z = 0 or 1 (mod 4). There are eight points (modulo 4) that satisfy these conditions: (0,0,0), (0,2,2), (2,0,2), (2,2,0), (3,3,3), (3,1,1), (1,3,1), (1,1,3) All of the other points in the structure may be obtained by adding multiples of four to the x, y, and z coordinates of these eight points. Adjacent points in this structure are at distance √3 apart in the integer lattice; the edges of the diamond structure lie along the body diagonals of the integer grid cubes. This structure may be scaled to a cubical unit cell that is some number a of units across by multiplying all coordinates by a/4. Alternatively, each point of the diamond cubic structure may be given by four-dimensional integer coordinates whose sum is either zero or one. Two points are adjacent in the diamond structure if and only if their four-dimensional coordinates differ by one in a single coordinate. The total difference in coordinate values between any two points (their four-dimensional Manhattan distance) gives the number of edges in the shortest path\n",
" \tdocument_id: 573abb58a7f9db2c4a60fcfedb2bb632-2\n",
" \tgold_id_match: 0.0\n",
" \tanswer_match: 0.0\n",
" \tgold_id_or_answer_match: 0.0\n",
" \trank: 3\n",
"\n",
" \tcontent: Diamond cubic - wikipedia Diamond cubic Jump to: navigation, search Unit cell of the diamond cubic crystal structure Rotating model of the diamond cubic crystal structure Pole figure in stereographic projection of the diamond lattice showing the 3-fold symmetry along the (111) direction. The diamond cubic crystal structure is a repeating pattern of 8 atoms that certain materials may adopt as they solidify. While the first known example was diamond, other elements in group 14 also adopt this structure, including α-tin, the semiconductors silicon and germanium, and silicon/germanium alloys in any proportion. Contents (hide) 1 Crystallographic structure 2 Mathematical structure 3 Mechanical properties 4 See also 5 References 6 External links Crystallographic structure(edit) Visualisation of a diamond cubic unit cell: 1. Components of a unit cell, 2. One unit cell, 3. A lattice of 3 × 3 × 3 unit cells Diamond cubic is in the Fd3m space group, which follows the face-centered cubic Bravais lattice. The lattice describes the repeat pattern; for diamond cubic crystals this lattice is ``decorated'' with a motif of two tetrahedrally bonded atoms in each primitive cell, separated by 1/4 of the width of the unit cell in each dimension. The diamond lattice can be\n",
" \tdocument_id: 573abb58a7f9db2c4a60fcfedb2bb632-0\n",
" \tgold_id_match: 0.0\n",
" \tanswer_match: 0.0\n",
" \tgold_id_or_answer_match: 0.0\n",
" \trank: 4\n",
"\n",
" \tcontent: poor people who came from poor people, all the way back to the very first poor people,'' he writes. Junior is ``wounded,'' which Alexie shows through Junior's alcoholic father, his misguided sister, and his defeating social life. Through Diary, Alexie aims to make a larger statement about the need for change in both the internal structure and the external perception of Native American communities in the United States.Columbus and his men colonized the new land they encountered in horrid ways that diminished Native people of anything they had. Violent invasions by Columbus and his crew left the Indians with nothing to call their own. Sacred land, animals, plants, and relatives were all lost during the time of what Maria Yellow Brave Heart and Lemyra DeBruyn called the ``American Indian Holocaust.'' The ones that were somewhat fortunate enough to stay alive were brainwashed of everything they knew, and were forced to believe and follow the religious practices of the Christian faith despite the fact it was not what they believed in. The Indians were also forced to relocate and leave everything, which led to many of them dying due to illness or unbearable conditions they had to walk in. Some Native\n",
" \tdocument_id: e9260cbbc129f4246ee8fcfbbe385822-37\n",
" \tgold_id_match: 0.0\n",
" \tanswer_match: 0.0\n",
" \tgold_id_or_answer_match: 0.0\n",
" \trank: 5\n",
"_______________________________________________________\n",
"Query: \n",
" \twhich of the following helmiths feeds on blood\n",
"Gold Document Ids: \n",
" \t\n",
"Metrics: \n",
" \trecall_multi_hit: 0.0\n",
" \trecall_single_hit: 0.0\n",
" \tprecision: 0.0\n",
" \tmap: 0.0\n",
" \tmrr: 0.0\n",
"Documents: \n",
" \tcontent: Eimi, published two years later. During these years Cummings also traveled to Northern Africa and Mexico. He worked as an essayist and portrait artist for Vanity Fair magazine (1924--1927). In 1926, Cummings's parents were in a car accident; only his mother survived, although she was severely injured. Cummings later described the accident in the following passage from his i: six nonlectures series given at Harvard (as part of the Charles Eliot Norton Lectures) in 1952 and 1953: A locomotive cut the car in half, killing my father instantly. When two brakemen jumped from the halted train, they saw a woman standing -- dazed but erect -- beside a mangled machine; with blood spouting (as the older said to me) out of her head. One of her hands (the younger added) kept feeling her dress, as if trying to discover why it was wet. These men took my sixty-six year old mother by the arms and tried to lead her toward a nearby farmhouse; but she threw them off, strode straight to my father's body, and directed a group of scared spectators to cover him. When this had been done (and only then) she let them lead her away. His father's\n",
" \tdocument_id: 12ce15235b650d33ed40bd1ea7863341-5\n",
" \tgold_id_match: 0.0\n",
" \tanswer_match: 0.0\n",
" \tgold_id_or_answer_match: 0.0\n",
" \trank: 1\n",
"\n",
" \tcontent: Lance Anderson Christopher Hollier & Julie Plec February 9, 2015 (2015-02-09) 3J5213 1.22 Alpha werewolves have come to join Jackson's pack, so that the power from the marriage to Hayley will also spread to them and their packs. Freya finds Finn, who has sent Marcel and Kol to collect the blood of Hayley and Klaus which will help him locate the ``miracle baby'' which he believes is still alive and is the big secret Klaus is keeping. However, Marcel is busy trying to keep his vampires from feeding on the Alphas and once again, Kol changes sides and helps Klaus in hope that he and his other siblings will trust him. Meanwhile Finn has arrived at the house where Elijah, Cami and Hope have been staying. He stumbles upon Elijah and stakes him before searching for the baby. Kol and Rebekah channel Klaus, to overload Finn with magic. Elijah wakes up moments later and goes after Finn, determined to save Hope. Finn is overloaded with magic and loses his extra power before Elijah makes the house (which is filled with gas) explode. The episode ends with a glimpse at baby Hope, alluding to her possible powers. 36 14 ``I Love\n",
" \tdocument_id: 5c51311ce2562b5f51845cb244ef2b54-10\n",
" \tgold_id_match: 0.0\n",
" \tanswer_match: 0.0\n",
" \tgold_id_or_answer_match: 0.0\n",
" \trank: 2\n",
"\n",
" \tcontent: The suspension was very brief, and the superintendent reinstated the book soon after. Defense of the novel(edit) Teachers and students, as well as Alexie himself, have spoken out in defense of The Absolutely True Diary of a Part-Time Indian. Alexie responded to complaints about the novel's gritty themes in a 2011 Wall Street Journal article entitled ``Why the Best Kids Books Are Written in Blood'', in which he argues that attempts to prevent school-aged children from learning about the harsher aspects of contemporary life are ``way, way too late''. He uses his own life as an example: ``Of course, all during my childhood, would-be saviors tried to rescue my fellow tribal members. They wanted to rescue me. But, even then, I could only laugh at their platitudes. In those days, the cultural conservatives thought that KISS and Black Sabbath were going to impede my moral development. They wanted to protect me from sex when I had already been raped. They wanted to protect me from evil though a future serial killer had already abused me. They wanted me to profess my love for God without considering that I was the child and grandchild of men and women who'd been sexually\n",
" \tdocument_id: e9260cbbc129f4246ee8fcfbbe385822-31\n",
" \tgold_id_match: 0.0\n",
" \tanswer_match: 0.0\n",
" \tgold_id_or_answer_match: 0.0\n",
" \trank: 3\n",
"\n",
" \tcontent: plots. He was eventually deposed in 610 by Heraclius, who sailed to Constantinople from Carthage with an icon affixed to the prow of his ship. Following the ascension of Heraclius, the Sassanid advance pushed deep into Asia Minor, also occupying Damascus and Jerusalem and removing the True Cross to Ctesiphon. The counter-offensive of Heraclius took on the character of a holy war, and an acheiropoietos image of Christ was carried as a military standard. Similarly, when Constantinople was saved from an Avar siege in 626, the victory was attributed to the icons of the Virgin which were led in procession by Patriarch Sergius about the walls of the city. The main Sassanid force was destroyed at Nineveh in 627, and in 629 Heraclius restored the True Cross to Jerusalem in a majestic ceremony. The war had exhausted both the Byzantine and Sassanid Empire, and left them extremely vulnerable to the Arab forces which emerged in the following years. The Byzantines suffered a crushing defeat at the Battle of Yarmuk in 636, and Ctesiphon fell in 634. In an attempt to heal the doctrinal divide between Chalcedonian and monophysite Christians, Heraclius proposed monotheletism as a compromise. In 638 the new doctrine\n",
" \tdocument_id: 638c58d6f0f875722fb50a4ee1123571-16\n",
" \tgold_id_match: 0.0\n",
" \tanswer_match: 0.0\n",
" \tgold_id_or_answer_match: 0.0\n",
" \trank: 4\n",
"\n",
" \tcontent: Employment, social and consumer policy 2.3.10 Titles XVI to XXIV Networks, industry, environment, energy, other 2.4 Part 4, Association of the overseas countries and territories 2.5 Part 5, External action by the Union 2.6 Part 6, Institutional and financial provisions 2.7 Part 7, General and final provisions 3 See also 4 References History(edit) The TFEU originated as the treaty establishing the European Economic Community (the EEC treaty), signed in Rome on 25 March 1957. On 7 February 1992, the Maastricht treaty, which led to the formation of the European Union, saw the EEC Treaty renamed as the Treaty establishing the European Community (TEC) and renumbered. The Maastricht reforms also saw the creation of the European Union's three pillar structure, of which the European Community was the major constituent part. Following the 2005 referenda, which saw the failed attempt at launching a European Constitution, on 13 December 2007 the Lisbon treaty was signed. This saw the 'TEC' renamed as the Treaty on the Functioning of the European Union (TFEU) and, once again, renumbered. The Lisbon reforms resulted in the merging of the three pillars into the reformed European Union. Contents(edit) The TFEU consists of seven parts: Part 1, Principles(edit) In principles,\n",
" \tdocument_id: c63541c05dee89069c6d842c8b70bb39-1\n",
" \tgold_id_match: 0.0\n",
" \tanswer_match: 0.0\n",
" \tgold_id_or_answer_match: 0.0\n",
" \trank: 5\n",
"_______________________________________________________\n",
"=======================================================\n",
"\n",
" Wrong Reader Examples\n",
"=======================================================\n",
"Query: \n",
" \twho was the girl in the video brenda got a baby\n",
"Gold Answers: \n",
" \tEthel ``Edy'' Proctor\n",
"Gold Document Ids: \n",
" \t965a125f65658579529b39f8e4344969-3\n",
"Metrics: \n",
" \texact_match: 0.0\n",
" \tf1: 0.0\n",
"Answers: \n",
" \tanswer: her cousin\n",
" \tdocument_id: 965a125f65658579529b39f8e4344969-3\n",
" \toffsets_in_document: [{'start': 423, 'end': 433}]\n",
" \tcontext: ng a story in the newspaper of a 12-year-old girl getting pregnant by her cousin and trying to dispose of the baby in a trash can. Parts of the video \n",
" \texact_match: 0.0\n",
" \tf1: 0.0\n",
" \trank: 1\n",
"\n",
" \tanswer: \n",
" \tdocument_id: None\n",
" \toffsets_in_document: [{'start': 0, 'end': 0}]\n",
" \tcontext: None\n",
" \texact_match: 0.0\n",
" \tf1: 0.0\n",
" \trank: 2\n",
"\n",
" \tanswer: her cousin\n",
" \tdocument_id: 965a125f65658579529b39f8e4344969-1\n",
" \toffsets_in_document: [{'start': 404, 'end': 414}]\n",
" \tcontext: a newspaper article about a 12-year-old girl who became pregnant from her cousin and threw the baby into a trash compactor. Contents (hide) 1 Lyrics 2\n",
" \texact_match: 0.0\n",
" \tf1: 0.0\n",
" \trank: 3\n",
"\n",
" \tanswer: Dave Hollister\n",
" \tdocument_id: 965a125f65658579529b39f8e4344969-0\n",
" \toffsets_in_document: [{'start': 1089, 'end': 1103}]\n",
" \tcontext: is debut album, 2Pacalypse Now. The song, which features R&B singer Dave Hollister, is about a 12-year-old girl named Brenda who lives in a ghetto and\n",
" \texact_match: 0.0\n",
" \tf1: 0.0\n",
" \trank: 4\n",
"_______________________________________________________\n",
"Query: \n",
" \twhere does the last name andersen originate from\n",
"Gold Answers: \n",
" \tDanish-Norwegian patronymic surname meaning ``son of Anders''\n",
"Gold Document Ids: \n",
" \t5d1b1f7bd8bb212fa9e7b7f1508e5926-0\n",
"Metrics: \n",
" \texact_match: 0.0\n",
" \tf1: 0.0\n",
"Answers: \n",
" \tanswer: \n",
" \tdocument_id: None\n",
" \toffsets_in_document: [{'start': 0, 'end': 0}]\n",
" \tcontext: None\n",
" \texact_match: 0.0\n",
" \tf1: 0.0\n",
" \trank: 1\n",
"\n",
" \tanswer: Denmark\n",
" \tdocument_id: 5d1b1f7bd8bb212fa9e7b7f1508e5926-0\n",
" \toffsets_in_document: [{'start': 680, 'end': 687}]\n",
" \tcontext: enmark and Norway (2009): Andersen Andreasen Andreassen Andresen source Denmark 165,871 12,013 2,430 4,508 Statistics Denmark Norway 38,433 103 12,376\n",
" \texact_match: 0.0\n",
" \tf1: 0.0\n",
" \trank: 2\n",
"\n",
" \tanswer: apartment\n",
" \tdocument_id: 174e59811412ceb6c6169d0199006c04-10\n",
" \toffsets_in_document: [{'start': 761, 'end': 770}]\n",
" \tcontext: niversity Orchestra at TEOC Classical Music Radio: Symphony No. 40 The apartment where Mozart wrote his last three Symphonies: Michael Lorenz, ``Mozar\n",
" \texact_match: 0.0\n",
" \tf1: 0.0\n",
" \trank: 3\n",
"\n",
" \tanswer: Greek\n",
" \tdocument_id: 5d1b1f7bd8bb212fa9e7b7f1508e5926-0\n",
" \toffsets_in_document: [{'start': 193, 'end': 198}]\n",
" \tcontext: an patronymic surname meaning ``son of Anders'' (itself derived from the Greek name ``Ανδρέας/Andreas'', cf. English Andrew). It is the fifth most com\n",
" \texact_match: 0.0\n",
" \tf1: 0.0\n",
" \trank: 4\n",
"_______________________________________________________\n",
"Query: \n",
" \twho took over for batman when his back was broken\n",
"Gold Answers: \n",
" \tJean-Paul Valley (a.k.a. Azrael)\n",
" \tan apprentice named Jean-Paul Valley (a.k.a. Azrael)\n",
"Gold Document Ids: \n",
" \t4c02586bad8a9fa0ef164d0b9bc27499-1\n",
" \t4c02586bad8a9fa0ef164d0b9bc27499-1\n",
"Metrics: \n",
" \texact_match: 0.0\n",
" \tf1: 0.0\n",
"Answers: \n",
" \tanswer: \n",
" \tdocument_id: None\n",
" \toffsets_in_document: [{'start': 0, 'end': 0}]\n",
" \tcontext: None\n",
" \texact_match: 0.0\n",
" \tf1: 0.0\n",
" \trank: 1\n",
"\n",
" \tanswer: Zoom\n",
" \tdocument_id: 4c02586bad8a9fa0ef164d0b9bc27499-29\n",
" \toffsets_in_document: [{'start': 6, 'end': 10}]\n",
" \tcontext: enemy Zoom overpowers Barry in their battle and breaks his back. He then goes to Central City News and the police department holding Barry's broken bo\n",
" \texact_match: 0.0\n",
" \tf1: 0.0\n",
" \trank: 2\n",
"\n",
" \tanswer: Bane\n",
" \tdocument_id: 4c02586bad8a9fa0ef164d0b9bc27499-30\n",
" \toffsets_in_document: [{'start': 636, 'end': 640}]\n",
" \tcontext: al wire and knocks out Bane with it. Film(edit) In Justice League: Doom, Bane makes reference to the storyline when he confronts Bruce Wayne above his\n",
" \texact_match: 0.0\n",
" \tf1: 0.0\n",
" \trank: 3\n",
"\n",
" \tanswer: Bane\n",
" \tdocument_id: 4c02586bad8a9fa0ef164d0b9bc27499-31\n",
" \toffsets_in_document: [{'start': 670, 'end': 674}]\n",
" \tcontext: tcave to challenge Batman. During this fight, if the player is caught by Bane he executes the infamous back breaker. The famous back-breaking scene wa\n",
" \texact_match: 0.0\n",
" \tf1: 0.0\n",
" \trank: 4\n",
"_______________________________________________________\n",
"=======================================================\n",
"\n"
]
}
],
"source": [
"pipeline.print_eval_report(saved_eval_result)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "markdown",
"source": [
"## Advanced Evaluation Metrics\n",
"As an advanced evaluation metric, semantic answer similarity (SAS) can be calculated. This metric takes into account whether the meaning of a predicted answer is similar to the annotated gold answer rather than just doing string comparison.\n",
"To this end SAS relies on pre-trained models. For English, we recommend \"cross-encoder/stsb-roberta-large\", whereas for German we recommend \"deepset/gbert-large-sts\". A good multilingual model is \"sentence-transformers/paraphrase-multilingual-mpnet-base-v2\".\n",
"More info on this metric can be found in our [paper](https://arxiv.org/abs/2108.06130) or in our [blog post](https://www.deepset.ai/blog/semantic-answer-similarity-to-evaluate-qa)."
],
"metadata": {
"collapsed": false
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"advanced_eval_result = pipeline.eval(\n",
" labels=eval_labels,\n",
" params={\"Retriever\": {\"top_k\": 1}},\n",
" sas_model_name_or_path=\"cross-encoder/stsb-roberta-large\"\n",
" )\n",
"\n",
"metrics = advanced_eval_result.calculate_metrics()\n",
"print(metrics[\"Reader\"][\"sas\"])"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "markdown",
"source": [
"## Evaluation of Individual Components: Retriever\n",
"Here we evaluate only the retriever, based on whether the gold_label document is retrieved."
],
"metadata": {
"collapsed": false
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"## Evaluate Retriever on its own\n",
"retriever_eval_results = retriever.eval(top_k=5, label_index=label_index, doc_index=doc_index)\n",
"# Retriever Recall is the proportion of questions for which the correct document containing the answer is\n",
"# among the correct documents\n",
"print(\"Retriever Recall:\", retriever_eval_results[\"recall\"])\n",
"# Retriever Mean Avg Precision rewards retrievers that give relevant documents a higher rank\n",
"print(\"Retriever Mean Avg Precision:\", retriever_eval_results[\"map\"])"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "markdown",
"source": [
"## Evaluation of Individual Components: Reader\n",
"Here we evaluate only the reader in a closed domain fashion i.e. the reader is given one query\n",
"and its corresponding relevant document and metrics are calculated on whether the right position in this text is selected by\n",
"the model as the answer span (i.e. SQuAD style)"
],
"metadata": {
"collapsed": false
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"# Evaluate Reader on its own\n",
"reader_eval_results = reader.eval(document_store=document_store, device=devices[0], label_index=label_index, doc_index=doc_index)\n",
"# Evaluation of Reader can also be done directly on a SQuAD-formatted file without passing the data to Elasticsearch\n",
"#reader_eval_results = reader.eval_on_file(\"../data/nq\", \"nq_dev_subset_v2.json\", device=device)\n",
"\n",
"# Reader Top-N-Accuracy is the proportion of predicted answers that match with their corresponding correct answer\n",
"print(\"Reader Top-N-Accuracy:\", reader_eval_results[\"top_n_accuracy\"])\n",
"# Reader Exact Match is the proportion of questions where the predicted answer is exactly the same as the correct answer\n",
"print(\"Reader Exact Match:\", reader_eval_results[\"EM\"])\n",
"# Reader F1-Score is the average overlap between the predicted answers and the correct answers\n",
"print(\"Reader F1-Score:\", reader_eval_results[\"f1\"])"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "markdown",
"source": [
"## About us\n",
"\n",
"This [Haystack](https://github.com/deepset-ai/haystack/) notebook was made with love by [deepset](https://deepset.ai/) in Berlin, Germany\n",
"\n",
"We bring NLP to the industry via open source! \n",
"Our focus: Industry specific language models & large scale QA systems. \n",
" \n",
"Some of our other work: \n",
"- [German BERT](https://deepset.ai/german-bert)\n",
"- [GermanQuAD and GermanDPR](https://deepset.ai/germanquad)\n",
"- [FARM](https://github.com/deepset-ai/FARM)\n",
"\n",
"Get in touch:\n",
"[Twitter](https://twitter.com/deepset_ai) | [LinkedIn](https://www.linkedin.com/company/deepset-ai/) | [Slack](https://haystack.deepset.ai/community/join) | [GitHub Discussions](https://github.com/deepset-ai/haystack/discussions) | [Website](https://deepset.ai)\n",
"\n",
"By the way: [we're hiring!](https://www.deepset.ai/jobs)"
],
"metadata": {
"collapsed": false,
"id": "8QJ68G12U7tb"
}
}
]
}
Reference in New Issue View Git Blame Copy Permalink