Datasets:

jakartaresearch
/

causalqa

@@ -1,147 +0,0 @@
----
-annotations_creators:
-- found
-language:
-- en
-language_creators:
-- found
-license: []
-multilinguality:
-- monolingual
-pretty_name: CausalQA
-size_categories:
-- 1M<n<10M
-source_datasets:
-- original
-tags:
-- question-answering
-- english
-- causal
-task_categories:
-- question-answering
-task_ids:
-- extractive-qa
----
-# Dataset Card for [Dataset Name]
-## Table of Contents
-- [Table of Contents](#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:**
-- **Repository:**
-- **Paper:**
-- **Leaderboard:**
-- **Point of Contact:**
-### Dataset Summary
-[More Information Needed]
-### Supported Tasks and Leaderboards
-[More Information Needed]
-### Languages
-[More Information Needed]
-## Dataset Structure
-### Data Instances
-[More Information Needed]
-### Data Fields
-[More Information Needed]
-### Data Splits
-[More Information Needed]
-## Dataset Creation
-### Curation Rationale
-[More Information Needed]
-### Source Data
-#### Initial Data Collection and Normalization
-[More Information Needed]
-#### Who are the source language producers?
-[More Information Needed]
-### Annotations
-#### Annotation process
-[More Information Needed]
-#### Who are the annotators?
-[More Information Needed]
-### Personal and Sensitive Information
-[More Information Needed]
-## Considerations for Using the Data
-### Social Impact of Dataset
-[More Information Needed]
-### Discussion of Biases
-[More Information Needed]
-### Other Known Limitations
-[More Information Needed]
-## Additional Information
-### Dataset Curators
-[More Information Needed]
-### Licensing Information
-[More Information Needed]
-### Citation Information
-[More Information Needed]
-### Contributions
-Thanks to [@alamhanz](https://github.com/alamhanz) and [@andreaschandra](https://github.com/andreaschandra) for adding this dataset.

causalqa.py DELETED Viewed

@@ -1,119 +0,0 @@
-"""Causal QA : """
-import os
-import sys
-import json
-import csv
-import yaml
-import urllib3
-import datasets
-class CausalqaConfig(datasets.BuilderConfig):
-    """BuilderConfig for causalqa."""
-    def __init__(
-        self,
-        data_features,
-        data_url,
-        citation,
-        **kwargs
-    ):
-        """BuilderConfig for GLUE.
-        Args:
-          data_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
-          data_url: `dict[string, string]`, url to download the zip file from
-          citation: `string`, citation for the data set
-          process_label: `Function[string, any]`, function  taking in the raw value
-            of the label and processing it to the form required by the label feature
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(CausalqaConfig, self).__init__(**kwargs)
-        self.data_features = data_features
-        self.data_url = data_url
-        self.citation = citation
-def OneBuild(data_info, feat_meta):
-    main_name = [*data_info][0]
-    submain_name = data_info[main_name].keys()
-    all_config = []
-    for k in submain_name:
-        fm_temp = feat_meta[main_name][k]
-        one_data_info = data_info[main_name][k]
-        cqa_config = CausalqaConfig(
-          name="{}.{}".format(main_name,k),
-          description=one_data_info["description"],
-          version=datasets.Version(one_data_info["version"], ""),
-          data_features=fm_temp,
-          data_url=one_data_info["url_data"],
-          citation=one_data_info["citation"]
-        )
-        all_config.append(cqa_config)
-    return all_config
-class CausalQA(datasets.GeneratorBasedBuilder):
-    """CausalQA: An QA causal type dataset."""
-    http = urllib3.PoolManager()
-    _PATH_METADATA_RES = http.request('GET', 'https://huggingface.co/datasets/jakartaresearch/causalqa/raw/main/source/features_metadata.yaml')
-    _FILE_URL_RES = http.request('GET', 'https://huggingface.co/datasets/jakartaresearch/causalqa/raw/main/source/dataset_info.json')
-    _FILE_URL = json.loads(_FILE_URL_RES.data.decode("utf-8"))
-    _PATH_DESCRIPTION_RES = http.request('GET', 'https://huggingface.co/datasets/jakartaresearch/causalqa/raw/main/source/dataset_description.txt')
-    _CAUSALQA_DESCRIPTION = _PATH_DESCRIPTION_RES.data.decode("utf-8")
-    _HOMEPAGE = _FILE_URL['homepage']
-    all_files = _FILE_URL['files']
-    try:
-        fmeta = yaml.safe_load(_PATH_METADATA_RES.data)
-    except yaml.YAMLError as exc:
-        print(exc)
-    BUILDER_CONFIGS = []
-    for f in all_files:
-        BUILDER_CONFIGS += (OneBuild(f, fmeta))
-    def _info(self):
-        self.features = {feat: datasets.Value(self.config.data_features[feat])
-                         for feat in self.config.data_features}
-        return datasets.DatasetInfo(
-            description=self._CAUSALQA_DESCRIPTION,
-            features=datasets.Features(self.features),
-            homepage=self._HOMEPAGE
-        )
-    def _split_generators(self, dl_manager):
-        data_train = dl_manager.download(self.config.data_url['train'])
-        data_val = dl_manager.download(self.config.data_url['val'])
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": data_train
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "filepath": data_val ## keys (as parameters) is used during generate example
-                },
-            )
-        ]
-    def _generate_examples(self, filepath):
-        """Generate examples."""
-        csv.field_size_limit(1000000000)
-        with open(filepath, encoding="utf-8") as csv_file:
-            csv_reader = csv.reader(csv_file, delimiter=",")
-            next(csv_reader)
-            ## the yield depends on files features
-            for id_, row in enumerate(csv_reader):
-                existing_values = row
-                feature_names = [*self.features]
-                one_example_row = dict(zip(feature_names, existing_values))
-                yield id_, one_example_row

dataset_infos.json DELETED Viewed

@@ -1 +0,0 @@

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source/dataset_description.txt DELETED Viewed

@@ -1 +0,0 @@

- Causal Question Answering Dataset is machine reading comprehension dataset from 10 QA datasets that are filtered using regex to get causal question. The dataset is from a paper titled CausalQA: A Benchmark for Causal Question Answering. 2022. Alexander Bondarenko, Magdalena Wolska, Stefan Heindorf, Lukas Blübaum, Axel-Cyrille Ngonga Ngomo, Benno Stein, Pavel Braslavski, Matthias Hagen, Martin Potthast. In COLING.

source/dataset_info.json DELETED Viewed

@@ -1,225 +0,0 @@
-{
-    "homepage": "https://github.com/jakartaresearch",
-    "files": [
-        {
-            "eli5": {
-                "original-split": {
-                    "description": "",
-                    "version": "1.0.0",
-                    "citation": "",
-                    "url_data": {
-                        "train": "https://drive.google.com/uc?id=1-FKsZknoDE7bh0fKucs8nNu72IKFxfuo",
-                        "val": "https://drive.google.com/uc?id=108bG1CJMaqANIqLvxthuQvsZro-5qwbX"
-                    }
-                },
-                "random-split": {
-                    "description": "",
-                    "version": "1.0.0",
-                    "citation": "",
-                    "url_data": {
-                        "train": "https://drive.google.com/uc?id=11FfVASpa-Agie4AJfEPdjkR-QrvEO5Sd",
-                        "val": "https://drive.google.com/uc?id=11XlFn79xGSGmPu-TU2SYariQgg2bby2h"
-                    }
-                }
-            }
-        },
-        {
-            "gooaq": {
-                "original-split": {
-                    "description": "",
-                    "version": "1.0.0",
-                    "citation": "",
-                    "url_data": {
-                        "train": "https://drive.google.com/uc?id=10A8rPzMECn3s-qXSZRGKnlDMx5h6-U6k",
-                        "val": "https://drive.google.com/uc?id=10PNaYwLxFBfjm2AMM65sp-kRs9rE-8_A"
-                    }
-                },
-                "random-split": {
-                    "description": "",
-                    "version": "1.0.0",
-                    "citation": "",
-                    "url_data": {
-                        "train": "https://drive.google.com/uc?id=10cZ6Kx7v_UHzHkvBgduoiJ7Ny3aeO-Ww",
-                        "val": "https://drive.google.com/uc?id=11YdwCGTaw7jKk612tRc2T6NSYRUgmAjk"
-                    }
-                }
-            }
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-        {
-            "hotpotqa": {
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-                    "version": "1.0.0",
-                    "citation": "",
-                    "url_data": {
-                        "train": "https://drive.google.com/uc?id=103bDQK53aT1wIFbJqe9B8Usi0_TCROBT",
-                        "val": "https://drive.google.com/uc?id=1-ZSJNCjxdh5wEifkVVseieYYu45tVbEN"
-                    }
-                },
-                "random-split": {
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-                    "version": "1.0.0",
-                    "citation": "",
-                    "url_data": {
-                        "train": "https://drive.google.com/uc?id=11GYpcyT98XTomZhQxai5OLrTFoTGrfJJ",
-                        "val": "https://drive.google.com/uc?id=11B-cH_N8VIyLFCyM_l4dWfkOURXf4ky-"
-                    }
-                }
-            }
-        },
-        {
-            "msmarco": {
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-                    "version": "1.0.0",
-                    "citation": "",
-                    "url_data": {
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-                        "val": "https://drive.google.com/uc?id=1-BtYcEWwgaD0aI5hHCHFXCZOZu8I2e8o"
-                    }
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-                "random-split": {
-                    "description": "",
-                    "version": "1.0.0",
-                    "citation": "",
-                    "url_data": {
-                        "train": "https://drive.google.com/uc?id=111RXRWuNk2CMhDbzY2gIudmcB70lsQSy",
-                        "val": "https://drive.google.com/uc?id=11OLGeEkS6Wkv3q5ObNAinim5hqB5UU4D"
-                    }
-                }
-            }
-        },
-        {
-            "naturalquestions": {
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-                    "description": "",
-                    "version": "1.0.0",
-                    "citation": "",
-                    "url_data": {
-                        "train": "https://drive.google.com/uc?id=1-M_G-V7p0XvGmw3JWtOSfeAlrGLMu8U3",
-                        "val": "https://drive.google.com/uc?id=1-hjnE4TvEp76eznP14DHIsqYnitY0rNW"
-                    }
-                },
-                "random-split": {
-                    "description": "",
-                    "version": "1.0.0",
-                    "citation": "",
-                    "url_data": {
-                        "train": "https://drive.google.com/uc?id=118ALG23_Ayi7qrAAdExJKLiN21Xy7VO5",
-                        "val": "https://drive.google.com/uc?id=11L8JW9llwDI-vg2LSXL4NmnHbOOHETBr"
-                    }
-                }
-            }
-        },
-        {
-            "newsqa": {
-                "original-split": {
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-                    "version": "1.0.0",
-                    "citation": "",
-                    "url_data": {
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-                        "val": "https://drive.google.com/uc?id=1-oZbc9QFvuDfxzDhwotOYwvcLfFbCJQC"
-                    }
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-                "random-split": {
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-                    "version": "1.0.0",
-                    "citation": "",
-                    "url_data": {
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-                        "val": "https://drive.google.com/uc?id=10rM5-BYr1mrSVSRFqgiFuQdYvKuCDzD1"
-                    }
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-                    "citation": "",
-                    "url_data": {
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-                        "val": "https://drive.google.com/uc?id=1-kuu0RihKcve-EGFtwjYz8jOdN6rXbcM"
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-                    "version": "1.0.0",
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-                    "url_data": {
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-                    "version": "1.0.0",
-                    "citation": "",
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-                        "val": "https://drive.google.com/uc?id=1-ZCCflByWZ3sBE_Hxirhfy9KQQ8d2ABN"
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-                        "val": "https://drive.google.com/uc?id=11Uvh0s17N7hvwfPF75x0Ko6xdccfsZcl"
-                    }
-                }
-            }
-        },
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-                    "version": "1.0.0",
-                    "citation": "",
-                    "url_data": {
-                        "train": "https://drive.google.com/uc?id=10Akh_VNH5Kvp0BiKbq9irA-u5zgdoxPy",
-                        "val": "https://drive.google.com/uc?id=10QszRRFigIz_bAWuhOkn3r3dngHLpDSy"
-                    }
-                },
-                "random-split": {
-                    "description": "",
-                    "version": "1.0.0",
-                    "citation": "",
-                    "url_data": {
-                        "train": "https://drive.google.com/uc?id=110xR1sye2Qx-QrrOPb3IDLhkjLCqG1Zy",
-                        "val": "https://drive.google.com/uc?id=1144-Zt5-b8nFZOgUXbnk7l-RLSHTnJmN"
-                    }
-                }
-            }
-        },
-        {
-            "triviaqa": {
-                "original-split": {
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-                    "version": "1.0.0",
-                    "citation": "",
-                    "url_data": {
-                        "train": "https://drive.google.com/uc?id=1-lb4JylW7olUzbLJBaBqNK-HAcxulxEI",
-                        "val": "https://drive.google.com/uc?id=1-T0LHqgSvKyIx6YehQ-TrBOhJqygV-Si"
-                    }
-                },
-                "random-split": {
-                    "description": "",
-                    "version": "1.0.0",
-                    "citation": "",
-                    "url_data": {
-                        "train": "https://drive.google.com/uc?id=11-y9PSfAAP8-L8PtBd_51RaA-5MjsvPH",
-                        "val": "https://drive.google.com/uc?id=11WzPoeBLWbfMyR8xozfl-xMOSqevIIrs"
-                    }
-                }
-            }
-        }
-    ]
-}

source/features_metadata.yaml DELETED Viewed

@@ -1,158 +0,0 @@
-eli5:
-  original-split:
-    id: string
-  random-split:
-    id: string
-gooaq:
-  original-split:
-    id: int64
-    question: string
-    question_processed: string
-    context: string
-    context_processed: string
-    answer: string
-    answer_processed: string
-  random-split:
-    id: int64
-    question: string
-    question_processed: string
-    context: string
-    context_processed: string
-    answer: string
-    answer_processed: string
-hotpotqa:
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-    id: string
-    question: string
-    question_processed: string
-    context: string
-    context_processed: string
-    answer: string
-    answer_processed: string
-  random-split:
-    id: string
-    question: string
-    question_processed: string
-    context: string
-    context_processed: string
-    answer: string
-    answer_processed: string
-msmarco:
-  original-split:
-    id: int64
-    question: string
-    question_processed: string
-    context: string
-    context_processed: string
-    answer: string
-    answer_processed: string
-  random-split:
-    id: int64
-    question: string
-    question_processed: string
-    context: string
-    context_processed: string
-    answer: string
-    answer_processed: string
-naturalquestions:
-  original-split:
-    id: int64
-    question: string
-    question_processed: string
-    context: string
-    context_processed: string
-    answer: string
-    answer_processed: string
-  random-split:
-    id: int64
-    question: string
-    question_processed: string
-    context: string
-    context_processed: string
-    answer: string
-    answer_processed: string
-newsqa:
-  original-split:
-    id: string
-    question: string
-    question_processed: string
-    context: string
-    context_processed: string
-    answer: string
-    answer_processed: string
-  random-split:
-    id: string
-    question: string
-    question_processed: string
-    context: string
-    context_processed: string
-    answer: string
-    answer_processed: string
-paq:
-  original-split:
-    id: int64
-    question: string
-    question_processed: string
-    context: string
-    context_processed: string
-    answer: string
-    answer_processed: string
-  random-split:
-    id: int64
-    question: string
-    question_processed: string
-    context: string
-    context_processed: string
-    answer: string
-    answer_processed: string
-searchqa:
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-    id: int64
-    question: string
-    question_processed: string
-    context: string
-    context_processed: string
-    answer: string
-    answer_processed: string
-  random-split:
-    id: int64
-    question: string
-    question_processed: string
-    context: string
-    context_processed: string
-    answer: string
-    answer_processed: string
-squad2:
-  original-split:
-    id: string
-    question: string
-    question_processed: string
-    context: string
-    context_processed: string
-    answer: string
-    answer_processed: string
-  random-split:
-    id: string
-    question: string
-    question_processed: string
-    context: string
-    context_processed: string
-    answer: string
-    answer_processed: string
-triviaqa:
-  original-split:
-    id: string
-    question: string
-    question_processed: string
-    context: string
-    context_processed: string
-    answer: string
-    answer_processed: string
-  random-split:
-    id: string
-    question: string
-    question_processed: string
-    context: string
-    context_processed: string
-    answer: string
-    answer_processed: string

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