Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
Portuguese
Size:
1M - 10M
License:
File size: 6,147 Bytes
aaa57d3 06f8d6b aaa57d3 06f8d6b aaa57d3 06f8d6b aa42e8d aaa57d3 aa42e8d a12a6ae aa42e8d a12a6ae aa42e8d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 |
---
dataset_info:
features:
- name: question_title
dtype: string
- name: answer_text
dtype: string
splits:
- name: full
num_bytes: 556210684
num_examples: 1232296
- name: semhashed_0.7
num_bytes: 26391945
num_examples: 71373
- name: semhashed_0.8
num_bytes: 65733853
num_examples: 181242
- name: semhashed_0.9
num_bytes: 214865080
num_examples: 542393
download_size: 229389702
dataset_size: 863201562
configs:
- config_name: default
data_files:
- split: full
path: data/full-*
- split: semhashed_0.7
path: data/semhashed_0.7-*
- split: semhashed_0.8
path: data/semhashed_0.8-*
- split: semhashed_0.9
path: data/semhashed_0.9-*
license: cc0-1.0
task_categories:
- question-answering
language:
- pt
---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
Portuguese preprocessed split from [MQA dataset](https://huggingface.co/datasets/clips/mqa) containing only the question_title and answer_text columns of records in the ".pt" domain.
The dataset was derived by filtering the following dataset: [ju-resplande/qa-pt](https://huggingface.co/datasets/ju-resplande/qa-pt)
The rationale is to have a dataset that is closer aligned with the Portuguese (Portugal) language.
Semantic deduplication splits included for thresholds of 0.7, 0.8 and 0.9 with model [sentence-transformers/static-similarity-mrl-multilingual-v1](https://huggingface.co/sentence-transformers/static-similarity-mrl-multilingual-v1)
The same license as both upstream datasets is used: Creative Commons Zero v1.0 Universal.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** @marquesafonso
- **Language(s) (NLP):** Portuguese (Portugal)
- **License:** Creative Commons Zero v1.0 Universal
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repositories:** [MQA dataset](https://huggingface.co/datasets/clips/mqa); [ju-resplande/qa-pt](https://huggingface.co/datasets/ju-resplande/qa-pt)
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
The rationale is to have a dataset that is closer aligned with the Portuguese (Portugal) language.
Semantic deduplication splits included for thresholds of 0.7, 0.8 and 0.9 with model [sentence-transformers/static-similarity-mrl-multilingual-v1](https://huggingface.co/sentence-transformers/static-similarity-mrl-multilingual-v1)
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
Portuguese preprocessed split from [MQA dataset](https://huggingface.co/datasets/clips/mqa) containing only the question_title and answer_text columns of records in the ".pt" domain.
The dataset was derived by filtering the following dataset: [ju-resplande/qa-pt](https://huggingface.co/datasets/ju-resplande/qa-pt)
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Dataset Card Authors [optional]
[More Information Needed]
## Dataset Card Contact
[More Information Needed] |