import from S3

README.md

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+---
+annotations_creators:
+- expert-generated
+language_creators:
+- found
+languages:
+- en
+licenses:
+- cc-by-4.0
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+task_categories:
+- text-classification
+task_ids:
+- sentiment-classification
+---
+
+# Dataset Card Creation Guide
+
+## 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-instances)
+  - [Data Splits](#data-instances)
+- [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:** N/A
+- **Repository:** [GitHub](https://github.com/ltgoslo/NorBERT/)
+- **Paper:** [A Fine-grained Sentiment Dataset for Norwegian](https://www.aclweb.org/anthology/2020.lrec-1.618/)
+- **Leaderboard:** N/A
+- **Point of Contact:** -
+
+### Dataset Summary
+
+Aggregated NoRec_fine: A Fine-grained Sentiment Dataset for Norwegian.
+This dataset was created by the Nordic Language Processing Laboratory by aggregating the fine-grained annotations in NoReC_fine and removing sentences with conflicting or no sentiment.
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+The text in the dataset is in Norwegian.
+
+## Dataset Structure
+
+### Data Instances
+
+Example of one instance in the dataset.
+
+```{'label': 0, 'text': 'Verre er det med slagsmålene .'}```
+
+### Data Fields
+
+- `id`: index of the example
+- `text`: Text of a sentence
+- `label`: The sentiment label. Here
+  - 0 = negative
+  - 1 = positive
+
+### Data Splits
+
+The dataset is split into a `train`, `validation`, and `test` split with the following sizes:
+
+|                            | Tain   | Valid | Test  |
+| -----                      | ------ | ----- | ----- |
+| Number of examples         | 2675   | 516   | 417   |
+
+
+
+## Dataset Creation
+
+This dataset is based largely on the original data described in the paper _A Fine-Grained Sentiment Dataset for Norwegian_ by L. Øvrelid, P. Mæhlum, J. Barnes, and E. Velldal, accepted at LREC 2020, [paper available](https://www.aclweb.org/anthology/2020.lrec-1.618). However, we have since added annotations for another 3476 sentences, increasing the overall size and scope of the dataset.
+
+## Additional Information
+
+### Licensing Information
+
+This work is licensed under a Creative Commons Attribution 4.0 International License
+
+### Citation Information
+
+```latex
+@misc{sheng2020investigating,
+      title={Investigating Societal Biases in a Poetry Composition System},
+      author={Emily Sheng and David Uthus},
+      year={2020},
+      eprint={2011.02686},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```

dataset_infos.json

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+{"default": {"description": "Aggregated NoRec_fine: A Fine-grained Sentiment Dataset for Norwegian\nThis dataset was created by the Nordic Language Processing Laboratory by\naggregating the fine-grained annotations in NoReC_fine and removing sentences\nwith conflicting or no sentiment.\n", "citation": "\n@InProceedings{OvrMaeBar20,\n  author = {Lilja {\\O}vrelid and Petter M{\u0007e}hlum and Jeremy Barnes and Erik Velldal},\n  title = {A Fine-grained Sentiment Dataset for {N}orwegian},\n  booktitle = {{Proceedings of the 12th Edition of the Language Resources and Evaluation Conference}},\n  year = 2020,\n  address = \"Marseille, France, 2020\"\n}\n", "homepage": "https://github.com/ltgoslo/NorBERT/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["negative", "positive"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "norec_agg", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 300859, "num_examples": 2675, "dataset_name": "norec_agg"}, "validation": {"name": "validation", "num_bytes": 59711, "num_examples": 516, "dataset_name": "norec_agg"}, "test": {"name": "test", "num_bytes": 48499, "num_examples": 417, "dataset_name": "norec_agg"}}, "download_checksums": {"https://raw.githubusercontent.com/ltgoslo/NorBERT/main/benchmarking/data/sentiment/no/train.csv": {"num_bytes": 282595, "checksum": "4789892063b70fe6f1cc69dc3973968a98762a61d91f03eaa99cd8102ccba8b3"}, "https://raw.githubusercontent.com/ltgoslo/NorBERT/main/benchmarking/data/sentiment/no/dev.csv": {"num_bytes": 56101, "checksum": "f85f5bde866162c86aa9d6c443532757a173e626704c5011078b41c18ebec941"}, "https://raw.githubusercontent.com/ltgoslo/NorBERT/main/benchmarking/data/sentiment/no/test.csv": {"num_bytes": 45655, "checksum": "28c95c7b1f13ac887b6efe245576d3f469f8481833ec1188bdd1a7b450a43231"}}, "download_size": 384351, "post_processing_size": null, "dataset_size": 409069, "size_in_bytes": 793420}}

norec_agg.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.
+"""Aggregated NoRec_fine: A Fine-grained Sentiment Dataset for Norwegian"""
+import csv
+
+import datasets
+
+
+_CITATION = """
+@InProceedings{OvrMaeBar20,
+  author = {Lilja {\O}vrelid and Petter M{\ae}hlum and Jeremy Barnes and Erik Velldal},
+  title = {A Fine-grained Sentiment Dataset for {N}orwegian},
+  booktitle = {{Proceedings of the 12th Edition of the Language Resources and Evaluation Conference}},
+  year = 2020,
+  address = "Marseille, France, 2020"
+}
+"""
+
+_DESCRIPTION = """\
+Aggregated NoRec_fine: A Fine-grained Sentiment Dataset for Norwegian
+This dataset was created by the Nordic Language Processing Laboratory by
+aggregating the fine-grained annotations in NoReC_fine and removing sentences
+with conflicting or no sentiment.
+"""
+
+
+_HOMEPAGE = "https://github.com/ltgoslo/NorBERT/"
+
+_BASE_URL = "https://raw.githubusercontent.com/ltgoslo/NorBERT/main/benchmarking/data/sentiment/no"
+_URLS = {
+    "train": f"{_BASE_URL}/train.csv",
+    "dev": f"{_BASE_URL}/dev.csv",
+    "test": f"{_BASE_URL}/test.csv",
+}
+
+
+class NorecAgg(datasets.GeneratorBasedBuilder):
+    """Aggregated NoRec_fine: A Fine-grained Sentiment Dataset for Norwegian"""
+
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                    "label": datasets.features.ClassLabel(names=["negative", "positive"]),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        downloaded_files = dl_manager.download(_URLS)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
+        ]
+
+    def _generate_examples(self, filepath):
+        with open(filepath, encoding="utf-8") as csv_file:
+            csv_reader = csv.reader(csv_file, delimiter=",")
+            for idx, row in enumerate(csv_reader):
+                label, text = row
+                label = int(label)
+                yield int(idx), {"text": text, "label": label}