Update files from the datasets library (from 1.2.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+annotations_creators:
+- expert-generated
+language_creators:
+- found
+languages:
+- pt
+licenses:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- text-classification
+- text-scoring
+task_ids:
+- natural-language-inference
+- semantic-similarity-scoring
+---
+
+# Dataset Card for ASSIN 2
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#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)
+
+## Dataset Description
+
+- **Homepage:** [ASSIN 2 homepage](https://sites.google.com/view/assin2)
+- **Repository:** [ASSIN 2 repository](https://sites.google.com/view/assin2)
+- **Paper:** [The ASSIN 2 shared task: a quick overview](https://drive.google.com/file/d/1ft1VU6xiVm-N58dfAp6FHWjQ4IvcXgqp/view)
+- **Point of Contact:** [Livy Real](mailto:[email protected])
+
+### Dataset Summary
+
+The ASSIN 2 corpus is composed of rather simple sentences. Following the procedures of SemEval 2014 Task 1.
+The training and validation data are composed, respectively, of 6,500 and 500 sentence pairs in Brazilian Portuguese, 
+annotated for entailment and semantic similarity. Semantic similarity values range from 1 to 5, and text entailment 
+classes are either entailment or none. The test data are composed of approximately 3,000 sentence pairs with the same 
+annotation. All data were manually annotated.
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+The language supported is Portuguese.
+
+## Dataset Structure
+
+### Data Instances
+
+An example from the ASSIN 2 dataset looks as follows:
+
+```
+{
+  "entailment_judgment": 1,
+  "hypothesis": "Uma criança está segurando uma pistola de água",
+  "premise": "Uma criança risonha está segurando uma pistola de água e sendo espirrada com água",
+  "relatedness_score": 4.5,
+  "sentence_pair_id": 1
+}
+```
+
+### Data Fields
+
+- `sentence_pair_id`: a `int64` feature.
+- `premise`: a `string` feature.
+- `hypothesis`: a `string` feature.
+- `relatedness_score`: a `float32` feature.
+- `entailment_judgment`: a classification label, with possible values including `NONE`, `ENTAILMENT`.
+
+### Data Splits
+
+The data is split into train, validation and test set. The split sizes are as follow:
+
+| Train  | Val   | Test |
+| ------ | ----- | ---- |
+| 6500   | 500   | 2448 |
+
+## 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
+
+```
+@inproceedings{real2020assin,
+  title={The assin 2 shared task: a quick overview},
+  author={Real, Livy and Fonseca, Erick and Oliveira, Hugo Goncalo},
+  booktitle={International Conference on Computational Processing of the Portuguese Language},
+  pages={406--412},
+  year={2020},
+  organization={Springer}
+}
+```

assin2.py

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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.
+"""ASSIN 2 dataset."""
+
+from __future__ import absolute_import, division, print_function
+
+import xml.etree.ElementTree as ET
+
+import datasets
+
+
+_CITATION = """
+@inproceedings{real2020assin,
+  title={The assin 2 shared task: a quick overview},
+  author={Real, Livy and Fonseca, Erick and Oliveira, Hugo Goncalo},
+  booktitle={International Conference on Computational Processing of the Portuguese Language},
+  pages={406--412},
+  year={2020},
+  organization={Springer}
+}
+"""
+
+_DESCRIPTION = """
+The ASSIN 2 corpus is composed of rather simple sentences. Following the procedures of SemEval 2014 Task 1.
+The training and validation data are composed, respectively, of 6,500 and 500 sentence pairs in Brazilian Portuguese,
+annotated for entailment and semantic similarity. Semantic similarity values range from 1 to 5, and text entailment
+classes are either entailment or none. The test data are composed of approximately 3,000 sentence pairs with the same
+annotation. All data were manually annotated.
+"""
+
+_HOMEPAGE = "https://sites.google.com/view/assin2"
+
+_LICENSE = ""
+
+_URLS = {
+    "train": "https://drive.google.com/u/0/uc?id=1Q9j1a83CuKzsHCGaNulSkNxBm7Dkn7Ln&export=download",
+    "dev": "https://drive.google.com/u/0/uc?id=1kb7xq6Mb3eaqe9cOAo70BaG9ypwkIqEU&export=download",
+    "test": "https://drive.google.com/u/0/uc?id=1J3FpQaHxpM-FDfBUyooh-sZF-B-bM_lU&export=download",
+}
+
+
+class Assin2(datasets.GeneratorBasedBuilder):
+    """ASSIN 2 dataset."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "sentence_pair_id": datasets.Value("int64"),
+                "premise": datasets.Value("string"),
+                "hypothesis": datasets.Value("string"),
+                "relatedness_score": datasets.Value("float32"),
+                "entailment_judgment": datasets.features.ClassLabel(names=["NONE", "ENTAILMENT"]),
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        data_dir = dl_manager.download(_URLS)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": data_dir["train"],
+                    "split": "train",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": data_dir["test"],
+                    "split": "test",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": data_dir["dev"],
+                    "split": "dev",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        """ Yields examples. """
+
+        id_ = 0
+
+        with open(filepath, "rb") as f:
+
+            tree = ET.parse(f)
+            root = tree.getroot()
+
+            for pair in root:
+
+                yield id_, {
+                    "sentence_pair_id": int(pair.attrib.get("id")),
+                    "premise": pair.find(".//t").text,
+                    "hypothesis": pair.find(".//h").text,
+                    "relatedness_score": float(pair.attrib.get("similarity")),
+                    "entailment_judgment": pair.attrib.get("entailment").upper(),
+                }
+
+                id_ += 1

dataset_infos.json

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+{"default": {"description": "\nThe ASSIN 2 corpus is composed of rather simple sentences. Following the procedures of SemEval 2014 Task 1.\nThe training and validation data are composed, respectively, of 6,500 and 500 sentence pairs in Brazilian Portuguese, \nannotated for entailment and semantic similarity. Semantic similarity values range from 1 to 5, and text entailment \nclasses are either entailment or none. The test data are composed of approximately 3,000 sentence pairs with the same \nannotation. All data were manually annotated.\n", "citation": "\n@inproceedings{real2020assin,\n  title={The assin 2 shared task: a quick overview},\n  author={Real, Livy and Fonseca, Erick and Oliveira, Hugo Gon{\\c{c}}alo},\n  booktitle={International Conference on Computational Processing of the Portuguese Language},\n  pages={406--412},\n  year={2020},\n  organization={Springer}\n}\n", "homepage": "https://sites.google.com/view/assin2", "license": "", "features": {"sentence_pair_id": {"dtype": "int64", "id": null, "_type": "Value"}, "premise": {"dtype": "string", "id": null, "_type": "Value"}, "hypothesis": {"dtype": "string", "id": null, "_type": "Value"}, "relatedness_score": {"dtype": "float32", "id": null, "_type": "Value"}, "entailment_judgment": {"num_classes": 2, "names": ["NONE", "ENTAILMENT"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "assin2", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 864003, "num_examples": 6500, "dataset_name": "assin2"}, "test": {"name": "test", "num_bytes": 339274, "num_examples": 2448, "dataset_name": "assin2"}, "validation": {"name": "validation", "num_bytes": 66832, "num_examples": 500, "dataset_name": "assin2"}}, "download_checksums": {"https://drive.google.com/u/0/uc?id=1Q9j1a83CuKzsHCGaNulSkNxBm7Dkn7Ln&export=download": {"num_bytes": 1505084, "checksum": "0909e113e30f53a64ee7ef28b3287e78790ca06e45011caf07d38777877e367f"}, "https://drive.google.com/u/0/uc?id=1kb7xq6Mb3eaqe9cOAo70BaG9ypwkIqEU&export=download": {"num_bytes": 115698, "checksum": "b6639e7fb562325fe847b249d96f14d7d4fab0d5fe5aa542c19089d0d0c9081c"}, "https://drive.google.com/u/0/uc?id=1J3FpQaHxpM-FDfBUyooh-sZF-B-bM_lU&export=download": {"num_bytes": 492864, "checksum": "246fbaa0a5f8120b00baee4c9d64bf6f0c6669fbdbcb9fab5563114699f3890c"}}, "download_size": 2113646, "post_processing_size": null, "dataset_size": 1270109, "size_in_bytes": 3383755}}

dummy/1.0.0/dummy_data.zip

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