Datasets:

nilc-nlp
/

mac_morpho

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README.md DELETED Viewed

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----
-pretty_name: Mac-Morpho
-annotations_creators:
-- expert-generated
-language_creators:
-- found
-language:
-- pt
-license:
-- cc-by-4.0
-multilinguality:
-- monolingual
-size_categories:
-- 10K<n<100K
-source_datasets:
-- original
-task_categories:
-- token-classification
-task_ids:
-- part-of-speech
-paperswithcode_id: null
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: tokens
-    sequence: string
-  - name: pos_tags
-    sequence:
-      class_label:
-        names:
-          0: PREP+PROADJ
-          1: IN
-          2: PREP+PRO-KS
-          3: NPROP
-          4: PREP+PROSUB
-          5: KC
-          6: PROPESS
-          7: NUM
-          8: PROADJ
-          9: PREP+ART
-          10: KS
-          11: PRO-KS
-          12: ADJ
-          13: ADV-KS
-          14: N
-          15: PREP
-          16: PROSUB
-          17: PREP+PROPESS
-          18: PDEN
-          19: V
-          20: PREP+ADV
-          21: PCP
-          22: CUR
-          23: ADV
-          24: PU
-          25: ART
-  splits:
-  - name: train
-    num_bytes: 12635011
-    num_examples: 37948
-  - name: test
-    num_bytes: 3095292
-    num_examples: 9987
-  - name: validation
-    num_bytes: 671356
-    num_examples: 1997
-  download_size: 2463485
-  dataset_size: 16401659
----
-# Dataset Card for Mac-Morpho
-## 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:** [Mac-Morpho homepage](http://nilc.icmc.usp.br/macmorpho/)
-- **Repository:** [Mac-Morpho repository](http://nilc.icmc.usp.br/macmorpho/)
-- **Paper:** [Evaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese](https://journal-bcs.springeropen.com/articles/10.1186/s13173-014-0020-x)
-- **Point of Contact:** [Erick R Fonseca](mailto:erickrfonseca@gmail.com)
-### Dataset Summary
-Mac-Morpho is a corpus of Brazilian Portuguese texts annotated with part-of-speech tags.
-Its first version was released in 2003 [1], and since then, two revisions have been made in order
-to improve the quality of the resource [2, 3].
-The corpus is available for download split into train, development and test sections.
-These are 76%, 4% and 20% of the corpus total, respectively (the reason for the unusual numbers
-is that the corpus was first split into 80%/20% train/test, and then 5% of the train section was
-set aside for development). This split was used in [3], and new POS tagging research with Mac-Morpho
-is encouraged to follow it in order to make consistent comparisons possible.
-[1] Aluísio, S., Pelizzoni, J., Marchi, A.R., de Oliveira, L., Manenti, R., Marquiafável, V. 2003.
-An account of the challenge of tagging a reference corpus for brazilian portuguese.
-In: Proceedings of the 6th International Conference on Computational Processing of the Portuguese Language. PROPOR 2003
-[2] Fonseca, E.R., Rosa, J.L.G. 2013. Mac-morpho revisited: Towards robust part-of-speech.
-In: Proceedings of the 9th Brazilian Symposium in Information and Human Language Technology – STIL
-[3] Fonseca, E.R., Aluísio, Sandra Maria, Rosa, J.L.G. 2015.
-Evaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese.
-Journal of the Brazilian Computer Society.
-### Supported Tasks and Leaderboards
-[More Information Needed]
-### Languages
-Portuguese
-## Dataset Structure
-### Data Instances
-An example from the Mac-Morpho dataset looks as follows:
-```
-{
-    "id": "0",
-    "pos_tags": [14, 19, 14, 15, 22, 7, 14, 9, 14, 9, 3, 15, 3, 3, 24],
-    "tokens": ["Jersei", "atinge", "média", "de", "Cr$", "1,4", "milhão", "na", "venda", "da", "Pinhal", "em", "São", "Paulo", "."]
-}
-```
-### Data Fields
-- `id`: id of the sample
-- `tokens`: the tokens of the example text
-- `pos`: the PoS tags of each token
-The PoS tags correspond to this list:
-```
-"PREP+PROADJ", "IN", "PREP+PRO-KS", "NPROP", "PREP+PROSUB", "KC", "PROPESS", "NUM", "PROADJ", "PREP+ART", "KS",
-"PRO-KS", "ADJ", "ADV-KS", "N", "PREP", "PROSUB", "PREP+PROPESS", "PDEN", "V", "PREP+ADV", "PCP", "CUR", "ADV", "PU", "ART"
-```
-### Data Splits
-The data is split into train, validation and test set. The split sizes are as follow:
-| Train  | Val   | Test  |
-| ------ | ----- | ----- |
-| 37948  | 1997  | 9987  |
-## 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
-```
-@article{fonseca2015evaluating,
-  title={Evaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese},
-  author={Fonseca, Erick R and Rosa, Jo{\~a}o Lu{\'\i}s G and Alu{\'\i}sio, Sandra Maria},
-  journal={Journal of the Brazilian Computer Society},
-  volume={21},
-  number={1},
-  pages={2},
-  year={2015},
-  publisher={Springer}
-}
-```
-### Contributions
-Thanks to [@jonatasgrosman](https://github.com/jonatasgrosman) for adding this dataset.

dataset_infos.json DELETED Viewed

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- {"default": {"description": "\nMac-Morpho is a corpus of Brazilian Portuguese texts annotated with part-of-speech tags.\nIts first version was released in 2003 [1], and since then, two revisions have been made in order\nto improve the quality of the resource [2, 3].\nThe corpus is available for download split into train, development and test sections.\nThese are 76%, 4% and 20% of the corpus total, respectively (the reason for the unusual numbers\nis that the corpus was first split into 80%/20% train/test, and then 5% of the train section was\nset aside for development). This split was used in [3], and new POS tagging research with Mac-Morpho\nis encouraged to follow it in order to make consistent comparisons possible.\n\n\n[1] Alu\u00edsio, S., Pelizzoni, J., Marchi, A.R., de Oliveira, L., Manenti, R., Marquiaf\u00e1vel, V. 2003.\nAn account of the challenge of tagging a reference corpus for brazilian portuguese.\nIn: Proceedings of the 6th International Conference on Computational Processing of the Portuguese Language. PROPOR 2003\n\n[2] Fonseca, E.R., Rosa, J.L.G. 2013. Mac-morpho revisited: Towards robust part-of-speech.\nIn: Proceedings of the 9th Brazilian Symposium in Information and Human Language Technology \u2013 STIL\n\n[3] Fonseca, E.R., Alu\u00edsio, Sandra Maria, Rosa, J.L.G. 2015.\nEvaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese.\nJournal of the Brazilian Computer Society.\n", "citation": "\n@article{fonseca2015evaluating,\n title={Evaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese},\n author={Fonseca, Erick R and Rosa, Joao Luis G and Aluisio, Sandra Maria},\n journal={Journal of the Brazilian Computer Society},\n volume={21},\n number={1},\n pages={2},\n year={2015},\n publisher={Springer}\n}\n", "homepage": "http://www.nilc.icmc.usp.br/macmorpho/", "license": "Creative Commons Attribution 4.0 International License", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "pos_tags": {"feature": {"num_classes": 26, "names": ["PREP+PROADJ", "IN", "PREP+PRO-KS", "NPROP", "PREP+PROSUB", "KC", "PROPESS", "NUM", "PROADJ", "PREP+ART", "KS", "PRO-KS", "ADJ", "ADV-KS", "N", "PREP", "PROSUB", "PREP+PROPESS", "PDEN", "V", "PREP+ADV", "PCP", "CUR", "ADV", "PU", "ART"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "mac_morpho", "config_name": "default", "version": {"version_str": "3.0.0", "description": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 12635011, "num_examples": 37948, "dataset_name": "mac_morpho"}, "test": {"name": "test", "num_bytes": 3095292, "num_examples": 9987, "dataset_name": "mac_morpho"}, "validation": {"name": "validation", "num_bytes": 671356, "num_examples": 1997, "dataset_name": "mac_morpho"}}, "download_checksums": {"http://www.nilc.icmc.usp.br/macmorpho/macmorpho-v3.tgz": {"num_bytes": 2463485, "checksum": "454bd299166ab511547be43bba8b52473f8de2c69894fbb8a62a657a8d7ac52b"}}, "download_size": 2463485, "post_processing_size": null, "dataset_size": 16401659, "size_in_bytes": 18865144}}

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mac_morpho.py DELETED Viewed

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-# coding=utf-8
-# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""Mac-Morpho dataset"""
-import re
-import datasets
-logger = datasets.logging.get_logger(__name__)
-_CITATION = """
-@article{fonseca2015evaluating,
-  title={Evaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese},
-  author={Fonseca, Erick R and Rosa, Joao Luis G and Aluisio, Sandra Maria},
-  journal={Journal of the Brazilian Computer Society},
-  volume={21},
-  number={1},
-  pages={2},
-  year={2015},
-  publisher={Springer}
-}
-"""
-_DESCRIPTION = """
-Mac-Morpho is a corpus of Brazilian Portuguese texts annotated with part-of-speech tags.
-Its first version was released in 2003 [1], and since then, two revisions have been made in order
-to improve the quality of the resource [2, 3].
-The corpus is available for download split into train, development and test sections.
-These are 76%, 4% and 20% of the corpus total, respectively (the reason for the unusual numbers
-is that the corpus was first split into 80%/20% train/test, and then 5% of the train section was
-set aside for development). This split was used in [3], and new POS tagging research with Mac-Morpho
-is encouraged to follow it in order to make consistent comparisons possible.
-[1] Aluísio, S., Pelizzoni, J., Marchi, A.R., de Oliveira, L., Manenti, R., Marquiafável, V. 2003.
-An account of the challenge of tagging a reference corpus for brazilian portuguese.
-In: Proceedings of the 6th International Conference on Computational Processing of the Portuguese Language. PROPOR 2003
-[2] Fonseca, E.R., Rosa, J.L.G. 2013. Mac-morpho revisited: Towards robust part-of-speech.
-In: Proceedings of the 9th Brazilian Symposium in Information and Human Language Technology – STIL
-[3] Fonseca, E.R., Aluísio, Sandra Maria, Rosa, J.L.G. 2015.
-Evaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese.
-Journal of the Brazilian Computer Society.
-"""
-_HOMEPAGE = "http://www.nilc.icmc.usp.br/macmorpho/"
-_LICENSE = "Creative Commons Attribution 4.0 International License"
-_URL = "http://www.nilc.icmc.usp.br/macmorpho/macmorpho-v3.tgz"
-class MacMorpho(datasets.GeneratorBasedBuilder):
-    """Mac-Morpho dataset."""
-    VERSION = datasets.Version("3.0.0")
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "tokens": datasets.Sequence(datasets.Value("string")),
-                    "pos_tags": datasets.Sequence(
-                        datasets.features.ClassLabel(
-                            names=[
-                                "PREP+PROADJ",
-                                "IN",
-                                "PREP+PRO-KS",
-                                "NPROP",
-                                "PREP+PROSUB",
-                                "KC",
-                                "PROPESS",
-                                "NUM",
-                                "PROADJ",
-                                "PREP+ART",
-                                "KS",
-                                "PRO-KS",
-                                "ADJ",
-                                "ADV-KS",
-                                "N",
-                                "PREP",
-                                "PROSUB",
-                                "PREP+PROPESS",
-                                "PDEN",
-                                "V",
-                                "PREP+ADV",
-                                "PCP",
-                                "CUR",
-                                "ADV",
-                                "PU",
-                                "ART",
-                            ]
-                        )
-                    ),
-                }
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        archive = dl_manager.download(_URL)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": "macmorpho-train.txt",
-                    "files": dl_manager.iter_archive(archive),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepath": "macmorpho-test.txt",
-                    "files": dl_manager.iter_archive(archive),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "filepath": "macmorpho-dev.txt",
-                    "files": dl_manager.iter_archive(archive),
-                },
-            ),
-        ]
-    def _generate_examples(self, filepath, files):
-        """Yields examples."""
-        for path, f in files:
-            if path == filepath:
-                id_ = 0
-                for line in f:
-                    line = line.decode("utf-8").rstrip()
-                    chunks = re.split(r"\s+", line)
-                    tokens = []
-                    pos_tags = []
-                    for chunk in chunks:
-                        token, tag = chunk.rsplit("_", 1)
-                        tokens.append(token)
-                        pos_tags.append(tag)
-                    yield id_, {
-                        "id": str(id_),
-                        "tokens": tokens,
-                        "pos_tags": pos_tags,
-                    }
-                    id_ += 1
-                break