Update parquet files

.gitattributes

@@ -1,27 +0,0 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bin.* filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zstandard filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text

QDMR-high-level-lexicon/break_data-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a02f1d99805abcdd55e6e59763c4587ebc29ce3d613e3a1e417dd32fc333ba11
+size 759217

QDMR-high-level-lexicon/break_data-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dc32046450381eda1c42ee7c7bf9c7315ad0e2a9ef30acf7307a363d83ea53f5
+size 4159208

QDMR-high-level-lexicon/break_data-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:26e7043dd9d072d2faef8feacecf0ee70e6091d285fafa8494bcf9500a31a177
+size 745496

QDMR-high-level/break_data-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:29eb7efbd2700004a8247a26c7134b3e01e09059b810ecbbb913549348910c4e
+size 262747

QDMR-high-level/break_data-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:19063c9ebbab2d13b548fbdd45f040872249bb25adf809233cb148455039f989
+size 2412935

QDMR-high-level/break_data-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3378094626fefadb4e40f54a4f507ac7e5e9e0a8d43f6a882ac2c288038ee62e
+size 437502

QDMR-lexicon/break_data-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e768280fcd53305b8e029adefe2b15c175c06cf1a899fb866ff00142bbbb1762
+size 1459037

QDMR-lexicon/break_data-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a1b4b59d92a56291e48dd212ef4b499eefaaa28e697ac8c68ab39fa6c5f042be
+size 7950249

QDMR-lexicon/break_data-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2704c01f0163d866f8fd46990616eee36dbf101debe8e275bfac00863baff70f
+size 1408977

QDMR/break_data-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3b7c2addb7f136fcc94c6286c9695e8147dedaefa333600d47e4fd2c73248ea2
+size 373458

QDMR/break_data-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e372e700088553fb61f15c4fb002a4a944107f1b3e77da14f1d34c6b1b0b49e2
+size 4063483

QDMR/break_data-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14c2af092717711e0c26da2d690deec9688fdc2730e0e0692eb12a04dc8b1a1e
+size 738564

README.md

@@ -1,384 +0,0 @@
----
-annotations_creators:
-- crowdsourced
-language_creators:
-- crowdsourced
-language:
-- en
-license:
-- unknown
-multilinguality:
-- monolingual
-size_categories:
-- 10K<n<100K
-source_datasets:
-- original
-task_categories:
-- text2text-generation
-task_ids:
-- open-domain-abstractive-qa
-paperswithcode_id: break
-pretty_name: BREAK
-dataset_info:
-- config_name: QDMR-high-level
-  features:
-  - name: question_id
-    dtype: string
-  - name: question_text
-    dtype: string
-  - name: decomposition
-    dtype: string
-  - name: operators
-    dtype: string
-  - name: split
-    dtype: string
-  splits:
-  - name: test
-    num_bytes: 482339
-    num_examples: 3195
-  - name: train
-    num_bytes: 5148086
-    num_examples: 17503
-  - name: validation
-    num_bytes: 914780
-    num_examples: 3130
-  download_size: 15971078
-  dataset_size: 6545205
-- config_name: QDMR-high-level-lexicon
-  features:
-  - name: source
-    dtype: string
-  - name: allowed_tokens
-    dtype: string
-  splits:
-  - name: test
-    num_bytes: 4240755
-    num_examples: 3195
-  - name: train
-    num_bytes: 23234518
-    num_examples: 17503
-  - name: validation
-    num_bytes: 4158679
-    num_examples: 3130
-  download_size: 15971078
-  dataset_size: 31633952
-- config_name: QDMR
-  features:
-  - name: question_id
-    dtype: string
-  - name: question_text
-    dtype: string
-  - name: decomposition
-    dtype: string
-  - name: operators
-    dtype: string
-  - name: split
-    dtype: string
-  splits:
-  - name: test
-    num_bytes: 900632
-    num_examples: 8069
-  - name: train
-    num_bytes: 12790466
-    num_examples: 44321
-  - name: validation
-    num_bytes: 2237472
-    num_examples: 7760
-  download_size: 15971078
-  dataset_size: 15928570
-- config_name: QDMR-lexicon
-  features:
-  - name: source
-    dtype: string
-  - name: allowed_tokens
-    dtype: string
-  splits:
-  - name: test
-    num_bytes: 10331822
-    num_examples: 8069
-  - name: train
-    num_bytes: 56913064
-    num_examples: 44321
-  - name: validation
-    num_bytes: 9936933
-    num_examples: 7760
-  download_size: 15971078
-  dataset_size: 77181819
-- config_name: logical-forms
-  features:
-  - name: question_id
-    dtype: string
-  - name: question_text
-    dtype: string
-  - name: decomposition
-    dtype: string
-  - name: operators
-    dtype: string
-  - name: split
-    dtype: string
-  - name: program
-    dtype: string
-  splits:
-  - name: test
-    num_bytes: 927038
-    num_examples: 8006
-  - name: train
-    num_bytes: 19821676
-    num_examples: 44098
-  - name: validation
-    num_bytes: 3504893
-    num_examples: 7719
-  download_size: 15971078
-  dataset_size: 24253607
----
-
-# Dataset Card for "break_data"
-
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:** [https://github.com/allenai/Break](https://github.com/allenai/Break)
-- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Size of downloaded dataset files:** 76.16 MB
-- **Size of the generated dataset:** 148.34 MB
-- **Total amount of disk used:** 224.49 MB
-
-### Dataset Summary
-
-Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations
-(QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases.
-This repository contains the Break dataset along with information on the exact data format.
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Languages
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Dataset Structure
-
-### Data Instances
-
-#### QDMR
-
-- **Size of downloaded dataset files:** 15.23 MB
-- **Size of the generated dataset:** 15.19 MB
-- **Total amount of disk used:** 30.42 MB
-
-An example of 'validation' looks as follows.
-```
-{
-    "decomposition": "return flights ;return #1 from  denver ;return #2 to philadelphia ;return #3 if  available",
-    "operators": "['select', 'filter', 'filter', 'filter']",
-    "question_id": "ATIS_dev_0",
-    "question_text": "what flights are available tomorrow from denver to philadelphia ",
-    "split": "dev"
-}
-```
-
-#### QDMR-high-level
-
-- **Size of downloaded dataset files:** 15.23 MB
-- **Size of the generated dataset:** 6.24 MB
-- **Total amount of disk used:** 21.47 MB
-
-An example of 'train' looks as follows.
-```
-{
-    "decomposition": "return ground transportation ;return #1 which  is  available ;return #2 from  the pittsburgh airport ;return #3 to downtown ;return the cost of #4",
-    "operators": "['select', 'filter', 'filter', 'filter', 'project']",
-    "question_id": "ATIS_dev_102",
-    "question_text": "what ground transportation is available from the pittsburgh airport to downtown and how much does it cost ",
-    "split": "dev"
-}
-```
-
-#### QDMR-high-level-lexicon
-
-- **Size of downloaded dataset files:** 15.23 MB
-- **Size of the generated dataset:** 30.17 MB
-- **Total amount of disk used:** 45.40 MB
-
-An example of 'train' looks as follows.
-```
-This example was too long and was cropped:
-
-{
-    "allowed_tokens": "\"['higher than', 'same as', 'what ', 'and ', 'than ', 'at most', 'he', 'distinct', 'House', 'two', 'at least', 'or ', 'date', 'o...",
-    "source": "What office, also held by a member of the Maine House of Representatives, did James K. Polk hold before he was president?"
-}
-```
-
-#### QDMR-lexicon
-
-- **Size of downloaded dataset files:** 15.23 MB
-- **Size of the generated dataset:** 73.61 MB
-- **Total amount of disk used:** 88.84 MB
-
-An example of 'validation' looks as follows.
-```
-This example was too long and was cropped:
-
-{
-    "allowed_tokens": "\"['higher than', 'same as', 'what ', 'and ', 'than ', 'at most', 'distinct', 'two', 'at least', 'or ', 'date', 'on ', '@@14@@', ...",
-    "source": "what flights are available tomorrow from denver to philadelphia "
-}
-```
-
-#### logical-forms
-
-- **Size of downloaded dataset files:** 15.23 MB
-- **Size of the generated dataset:** 23.13 MB
-- **Total amount of disk used:** 38.36 MB
-
-An example of 'train' looks as follows.
-```
-{
-    "decomposition": "return ground transportation ;return #1 which  is  available ;return #2 from  the pittsburgh airport ;return #3 to downtown ;return the cost of #4",
-    "operators": "['select', 'filter', 'filter', 'filter', 'project']",
-    "program": "some program",
-    "question_id": "ATIS_dev_102",
-    "question_text": "what ground transportation is available from the pittsburgh airport to downtown and how much does it cost ",
-    "split": "dev"
-}
-```
-
-### Data Fields
-
-The data fields are the same among all splits.
-
-#### QDMR
-- `question_id`: a `string` feature.
-- `question_text`: a `string` feature.
-- `decomposition`: a `string` feature.
-- `operators`: a `string` feature.
-- `split`: a `string` feature.
-
-#### QDMR-high-level
-- `question_id`: a `string` feature.
-- `question_text`: a `string` feature.
-- `decomposition`: a `string` feature.
-- `operators`: a `string` feature.
-- `split`: a `string` feature.
-
-#### QDMR-high-level-lexicon
-- `source`: a `string` feature.
-- `allowed_tokens`: a `string` feature.
-
-#### QDMR-lexicon
-- `source`: a `string` feature.
-- `allowed_tokens`: a `string` feature.
-
-#### logical-forms
-- `question_id`: a `string` feature.
-- `question_text`: a `string` feature.
-- `decomposition`: a `string` feature.
-- `operators`: a `string` feature.
-- `split`: a `string` feature.
-- `program`: a `string` feature.
-
-### Data Splits
-
-|         name          |train|validation|test|
-|-----------------------|----:|---------:|---:|
-|QDMR                   |44321|      7760|8069|
-|QDMR-high-level        |17503|      3130|3195|
-|QDMR-high-level-lexicon|17503|      3130|3195|
-|QDMR-lexicon           |44321|      7760|8069|
-|logical-forms          |44098|      7719|8006|
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the source language producers?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the annotators?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Personal and Sensitive Information
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Discussion of Biases
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Other Known Limitations
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Licensing Information
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Citation Information
-
-```
-@article{Wolfson2020Break,
-  title={Break It Down: A Question Understanding Benchmark},
-  author={Wolfson, Tomer and Geva, Mor and Gupta, Ankit and Gardner, Matt and Goldberg, Yoav and Deutch, Daniel and Berant, Jonathan},
-  journal={Transactions of the Association for Computational Linguistics},
-  year={2020},
-}
-```
-
-### Contributions
-
-Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun), [@thomwolf](https://github.com/thomwolf) for adding this dataset.

break_data.py

@@ -1,261 +0,0 @@
-"""TODO(break_data): Add a description here."""
-
-
-import csv
-import json
-import os
-import textwrap
-
-import datasets
-
-
-# TODO(break): BibTeX citation
-_CITATION = """\
-@article{Wolfson2020Break,
-  title={Break It Down: A Question Understanding Benchmark},
-  author={Wolfson, Tomer and Geva, Mor and Gupta, Ankit and Gardner, Matt and Goldberg, Yoav and Deutch, Daniel and Berant, Jonathan},
-  journal={Transactions of the Association for Computational Linguistics},
-  year={2020},
-}
-"""
-
-# TODO(break):
-_DESCRIPTION = """\
-Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations
-(QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases.
-This repository contains the Break dataset along with information on the exact data format.
-"""
-_URL = "https://github.com/allenai/Break/raw/master/break_dataset/Break-dataset.zip"
-
-
-class BreakDataConfig(datasets.BuilderConfig):
-
-    """BuilderConfig for Break"""
-
-    def __init__(self, text_features, lexicon_tokens, **kwargs):
-        """
-
-        Args:
-            text_features: `dict[string, string]`, map from the name of the feature
-        dict for each text field to the name of the column in the tsv file
-            lexicon_tokens: to define if we want to load the lexicon_tokens files or not
-            **kwargs: keyword arguments forwarded to super.
-        """
-        super(BreakDataConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
-        self.text_features = text_features
-        self.lexicon_tokens = lexicon_tokens
-
-
-class BreakData(datasets.GeneratorBasedBuilder):
-    """TODO(break_data): Short description of my dataset."""
-
-    # TODO(break_data): Set up version.
-    VERSION = datasets.Version("0.1.0")
-    BUILDER_CONFIGS = [
-        BreakDataConfig(
-            name="QDMR-high-level",
-            description=textwrap.dedent(
-                """
-             Contains questions annotated with the high-level variant of QDMR. These decomposition are exclusive to Reading
-             Comprehension tasks (Section 2). lexicon_tokens files are also provided."""
-            ),
-            text_features={
-                "question_id": "question_id",
-                "question_text": "question_text",
-                "decomposition": "decomposition",
-                "operators": "operators",
-                "split": "split",
-            },
-            lexicon_tokens=False,
-        ),
-        BreakDataConfig(
-            name="QDMR-high-level-lexicon",
-            description=textwrap.dedent(
-                """
-               Contains questions annotated with the high-level variant of QDMR. These decomposition are exclusive to Reading
-               Comprehension tasks (Section 2). lexicon_tokens files are also provided."""
-            ),
-            text_features={
-                "source": "source",
-                "allowed_tokens": "allowed_tokens",
-            },
-            lexicon_tokens=True,
-        ),
-        BreakDataConfig(
-            name="QDMR",
-            description=textwrap.dedent(
-                """
-               Contains questions over text, images and databases annotated with their Question Decomposition Meaning
-               Representation. In addition to the train, dev and (hidden) test sets we provide lexicon_tokens files. For
-               each question, the lexicon file contains the set of valid tokens that could potentially appear in its
-               decomposition """
-            ),
-            text_features={
-                "question_id": "question_id",
-                "question_text": "question_text",
-                "decomposition": "decomposition",
-                "operators": "operators",
-                "split": "split",
-            },
-            lexicon_tokens=False,
-        ),
-        BreakDataConfig(
-            name="QDMR-lexicon",
-            description=textwrap.dedent(
-                """
-                 Contains questions over text, images and databases annotated with their Question Decomposition Meaning
-               Representation. In addition to the train, dev and (hidden) test sets we provide lexicon_tokens files. For
-               each question, the lexicon file contains the set of valid tokens that could potentially appear in its
-               decomposition """
-            ),
-            text_features={
-                "source": "source",
-                "allowed_tokens": "allowed_tokens",
-            },
-            lexicon_tokens=True,
-        ),
-        BreakDataConfig(
-            name="logical-forms",
-            description=textwrap.dedent(
-                """
-               Contains questions and QDMRs annotated with full logical-forms of QDMR operators + arguments. Full logical-forms
-               were inferred by the annotation-consistency algorithm described in """
-            ),
-            lexicon_tokens=False,
-            text_features={
-                "question_id": "question_id",
-                "question_text": "question_text",
-                "decomposition": "decomposition",
-                "operators": "operators",
-                "split": "split",
-                "program": "program",
-            },
-        ),
-    ]
-
-    def _info(self):
-        # TODO(break_data): Specifies the datasets.DatasetInfo object
-        features = {text_feature: datasets.Value("string") for text_feature in self.config.text_features.keys()}
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            # datasets.features.FeatureConnectors
-            features=datasets.Features(
-                features
-                # These are the features of your dataset like images, labels ...
-            ),
-            # If there's a common (input, target) tuple from the features,
-            # specify them here. They'll be used if as_supervised=True in
-            # builder.as_dataset.
-            supervised_keys=None,
-            # Homepage of the dataset for documentation
-            homepage="https://github.com/allenai/Break",
-            citation=_CITATION,
-        )
-        # if
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        # TODO(break_data): Downloads the data and defines the splits
-        # dl_manager is a datasets.download.DownloadManager that can be used to
-        # download and extract URLs
-        dl_dir = dl_manager.download_and_extract(_URL)
-        data_dir = os.path.join(dl_dir, "Break-dataset")
-        qdmr_high_level = os.path.join(data_dir, "QDMR-high-level")
-        qdmr = os.path.join(data_dir, "QDMR")
-        logical = os.path.join(data_dir, "logical-forms")
-        if self.config.name == "QDMR" or self.config.name == "QDMR-lexicon":
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={
-                        "filepath": os.path.join(qdmr, "train.csv")
-                        if not self.config.lexicon_tokens
-                        else os.path.join(qdmr, "train_lexicon_tokens.json")
-                    },
-                ),
-                datasets.SplitGenerator(
-                    name=datasets.Split.VALIDATION,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={
-                        "filepath": os.path.join(qdmr, "dev.csv")
-                        if not self.config.lexicon_tokens
-                        else os.path.join(qdmr, "dev_lexicon_tokens.json")
-                    },
-                ),
-                datasets.SplitGenerator(
-                    name=datasets.Split.TEST,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={
-                        "filepath": os.path.join(qdmr, "test.csv")
-                        if not self.config.lexicon_tokens
-                        else os.path.join(qdmr, "test_lexicon_tokens.json")
-                    },
-                ),
-            ]
-        elif self.config.name == "QDMR-high-level" or self.config.name == "QDMR-high-level-lexicon":
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={
-                        "filepath": os.path.join(qdmr_high_level, "train.csv")
-                        if not self.config.lexicon_tokens
-                        else os.path.join(qdmr_high_level, "train_lexicon_tokens.json")
-                    },
-                ),
-                datasets.SplitGenerator(
-                    name=datasets.Split.VALIDATION,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={
-                        "filepath": os.path.join(qdmr_high_level, "dev.csv")
-                        if not self.config.lexicon_tokens
-                        else os.path.join(qdmr_high_level, "dev_lexicon_tokens.json")
-                    },
-                ),
-                datasets.SplitGenerator(
-                    name=datasets.Split.TEST,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={
-                        "filepath": os.path.join(qdmr_high_level, "test.csv")
-                        if not self.config.lexicon_tokens
-                        else os.path.join(qdmr_high_level, "test_lexicon_tokens.json")
-                    },
-                ),
-            ]
-        elif self.config.name == "logical-forms":
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={"filepath": os.path.join(logical, "train.csv")},
-                ),
-                datasets.SplitGenerator(
-                    name=datasets.Split.VALIDATION,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={"filepath": os.path.join(logical, "dev.csv")},
-                ),
-                datasets.SplitGenerator(
-                    name=datasets.Split.TEST,
-                    # These kwargs will be passed to _generate_examples
-                    gen_kwargs={"filepath": os.path.join(logical, "test.csv")},
-                ),
-            ]
-
-    def _generate_examples(self, filepath):
-        """Yields examples."""
-        # TODO(break_data): Yields (key, example) tuples from the dataset
-        with open(filepath, encoding="utf-8") as f:
-            if (
-                self.config.name == "QDMR-high-level"
-                or self.config.name == "QDMR"
-                or self.config.name == "logical-forms"
-            ):
-                data = csv.DictReader(f)
-                for id_, row in enumerate(data):
-                    yield id_, row
-            elif self.config.name == "QDMR-high-level-lexicon" or self.config.name == "QDMR-lexicon":
-                for id_, row in enumerate(f):
-                    data = json.loads(row)
-                    yield id_, data

dataset_infos.json

@@ -1 +0,0 @@
-{"QDMR-high-level": {"description": "Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations\n(QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases. \nThis repository contains the Break dataset along with information on the exact data format.\n", "citation": "@article{Wolfson2020Break,\n  title={Break It Down: A Question Understanding Benchmark},\n  author={Wolfson, Tomer and Geva, Mor and Gupta, Ankit and Gardner, Matt and Goldberg, Yoav and Deutch, Daniel and Berant, Jonathan},\n  journal={Transactions of the Association for Computational Linguistics},\n  year={2020},\n}\n", "homepage": "https://github.com/allenai/Break", "license": "", "features": {"question_id": {"dtype": "string", "id": null, "_type": "Value"}, "question_text": {"dtype": "string", "id": null, "_type": "Value"}, "decomposition": {"dtype": "string", "id": null, "_type": "Value"}, "operators": {"dtype": "string", "id": null, "_type": "Value"}, "split": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "break_data", "config_name": "QDMR-high-level", "version": {"version_str": "1.0.0", "description": "", "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 482339, "num_examples": 3195, "dataset_name": "break_data"}, "train": {"name": "train", "num_bytes": 5148086, "num_examples": 17503, "dataset_name": "break_data"}, "validation": {"name": "validation", "num_bytes": 914780, "num_examples": 3130, "dataset_name": "break_data"}}, "download_checksums": {"https://github.com/allenai/Break/raw/master/break_dataset/Break-dataset.zip": {"num_bytes": 15971078, "checksum": "37efea4fa1b7774d077ff0452e5e199cecba8216c12da76781010f189d1cf259"}}, "download_size": 15971078, "dataset_size": 6545205, "size_in_bytes": 22516283}, "QDMR-high-level-lexicon": {"description": "Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations\n(QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases. \nThis repository contains the Break dataset along with information on the exact data format.\n", "citation": "@article{Wolfson2020Break,\n  title={Break It Down: A Question Understanding Benchmark},\n  author={Wolfson, Tomer and Geva, Mor and Gupta, Ankit and Gardner, Matt and Goldberg, Yoav and Deutch, Daniel and Berant, Jonathan},\n  journal={Transactions of the Association for Computational Linguistics},\n  year={2020},\n}\n", "homepage": "https://github.com/allenai/Break", "license": "", "features": {"source": {"dtype": "string", "id": null, "_type": "Value"}, "allowed_tokens": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "break_data", "config_name": "QDMR-high-level-lexicon", "version": {"version_str": "1.0.0", "description": "", "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 4240755, "num_examples": 3195, "dataset_name": "break_data"}, "train": {"name": "train", "num_bytes": 23234518, "num_examples": 17503, "dataset_name": "break_data"}, "validation": {"name": "validation", "num_bytes": 4158679, "num_examples": 3130, "dataset_name": "break_data"}}, "download_checksums": {"https://github.com/allenai/Break/raw/master/break_dataset/Break-dataset.zip": {"num_bytes": 15971078, "checksum": "37efea4fa1b7774d077ff0452e5e199cecba8216c12da76781010f189d1cf259"}}, "download_size": 15971078, "dataset_size": 31633952, "size_in_bytes": 47605030}, "QDMR": {"description": "Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations\n(QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases. \nThis repository contains the Break dataset along with information on the exact data format.\n", "citation": "@article{Wolfson2020Break,\n  title={Break It Down: A Question Understanding Benchmark},\n  author={Wolfson, Tomer and Geva, Mor and Gupta, Ankit and Gardner, Matt and Goldberg, Yoav and Deutch, Daniel and Berant, Jonathan},\n  journal={Transactions of the Association for Computational Linguistics},\n  year={2020},\n}\n", "homepage": "https://github.com/allenai/Break", "license": "", "features": {"question_id": {"dtype": "string", "id": null, "_type": "Value"}, "question_text": {"dtype": "string", "id": null, "_type": "Value"}, "decomposition": {"dtype": "string", "id": null, "_type": "Value"}, "operators": {"dtype": "string", "id": null, "_type": "Value"}, "split": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "break_data", "config_name": "QDMR", "version": {"version_str": "1.0.0", "description": "", "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 900632, "num_examples": 8069, "dataset_name": "break_data"}, "train": {"name": "train", "num_bytes": 12790466, "num_examples": 44321, "dataset_name": "break_data"}, "validation": {"name": "validation", "num_bytes": 2237472, "num_examples": 7760, "dataset_name": "break_data"}}, "download_checksums": {"https://github.com/allenai/Break/raw/master/break_dataset/Break-dataset.zip": {"num_bytes": 15971078, "checksum": "37efea4fa1b7774d077ff0452e5e199cecba8216c12da76781010f189d1cf259"}}, "download_size": 15971078, "dataset_size": 15928570, "size_in_bytes": 31899648}, "QDMR-lexicon": {"description": "Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations\n(QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases. \nThis repository contains the Break dataset along with information on the exact data format.\n", "citation": "@article{Wolfson2020Break,\n  title={Break It Down: A Question Understanding Benchmark},\n  author={Wolfson, Tomer and Geva, Mor and Gupta, Ankit and Gardner, Matt and Goldberg, Yoav and Deutch, Daniel and Berant, Jonathan},\n  journal={Transactions of the Association for Computational Linguistics},\n  year={2020},\n}\n", "homepage": "https://github.com/allenai/Break", "license": "", "features": {"source": {"dtype": "string", "id": null, "_type": "Value"}, "allowed_tokens": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "break_data", "config_name": "QDMR-lexicon", "version": {"version_str": "1.0.0", "description": "", "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 10331822, "num_examples": 8069, "dataset_name": "break_data"}, "train": {"name": "train", "num_bytes": 56913064, "num_examples": 44321, "dataset_name": "break_data"}, "validation": {"name": "validation", "num_bytes": 9936933, "num_examples": 7760, "dataset_name": "break_data"}}, "download_checksums": {"https://github.com/allenai/Break/raw/master/break_dataset/Break-dataset.zip": {"num_bytes": 15971078, "checksum": "37efea4fa1b7774d077ff0452e5e199cecba8216c12da76781010f189d1cf259"}}, "download_size": 15971078, "dataset_size": 77181819, "size_in_bytes": 93152897}, "logical-forms": {"description": "Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations\n(QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases. \nThis repository contains the Break dataset along with information on the exact data format.\n", "citation": "@article{Wolfson2020Break,\n  title={Break It Down: A Question Understanding Benchmark},\n  author={Wolfson, Tomer and Geva, Mor and Gupta, Ankit and Gardner, Matt and Goldberg, Yoav and Deutch, Daniel and Berant, Jonathan},\n  journal={Transactions of the Association for Computational Linguistics},\n  year={2020},\n}\n", "homepage": "https://github.com/allenai/Break", "license": "", "features": {"question_id": {"dtype": "string", "id": null, "_type": "Value"}, "question_text": {"dtype": "string", "id": null, "_type": "Value"}, "decomposition": {"dtype": "string", "id": null, "_type": "Value"}, "operators": {"dtype": "string", "id": null, "_type": "Value"}, "split": {"dtype": "string", "id": null, "_type": "Value"}, "program": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "break_data", "config_name": "logical-forms", "version": {"version_str": "1.0.0", "description": "", "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 927038, "num_examples": 8006, "dataset_name": "break_data"}, "train": {"name": "train", "num_bytes": 19821676, "num_examples": 44098, "dataset_name": "break_data"}, "validation": {"name": "validation", "num_bytes": 3504893, "num_examples": 7719, "dataset_name": "break_data"}}, "download_checksums": {"https://github.com/allenai/Break/raw/master/break_dataset/Break-dataset.zip": {"num_bytes": 15971078, "checksum": "37efea4fa1b7774d077ff0452e5e199cecba8216c12da76781010f189d1cf259"}}, "download_size": 15971078, "dataset_size": 24253607, "size_in_bytes": 40224685}}

logical-forms/break_data-test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8cfc310cc7adac37a15b7f390ca2c2197bd6a1fa4b05e42f2c011b4460a3498d
+size 373455

logical-forms/break_data-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cd9bbc92b6c698fb1538ea52204eb027e4e26ce08c4ffd17f53766187465f6f1
+size 6088625

logical-forms/break_data-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b0e9768415e2ae6829ac2406cb6fb38fbbf4013def8a4df2c2bdbada60fdcdde
+size 1110732