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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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+annotations_creators:
+- expert-generated
+language_creators:
+- expert-generated
+languages:
+- af
+- sq
+- am
+- ar
+- hy
+- as
+- az
+- bn
+- other-bn-india
+- eu
+- be
+- bs
+- other-bs-latin
+- bg
+- ca
+- ku
+- chr
+- zh
+- other-zh-Hant_HK
+- other-zh-Hant_TW
+- hr
+- cs
+- da
+- prs
+- nl
+- en
+- et
+- fil
+- fi
+- fr
+- other-fr_CA
+- gl
+- ka
+- de
+- el
+- gu
+- ha
+- he
+- hi
+- hu
+- is
+- ig
+- id
+- iu
+- ga
+- xh
+- zu
+- it
+- ja
+- quc
+- kn
+- kk
+- km
+- rw
+- swh
+- knn
+- ko
+- ky
+- lo
+- lv
+- lt
+- lb
+- mk
+- other-ms-brunei (Brunei Darus-)
+- ms
+- ml
+- mt
+- mi
+- mr
+- mn
+- ne
+- nb
+- nn
+- ory
+- pst
+- fa
+- pl
+- other-pt-br
+- pt
+- pa
+- pa
+- qu
+- ro
+- ru
+- gd
+- other-sr-bih
+- sr
+- other-sr-latin
+- st
+- tn
+- sd
+- si
+- sk
+- sl
+- es
+- other-es-MX
+- sv
+- tg
+- ta
+- tt
+- te
+- th
+- ti
+- tr
+- tk
+- uk
+- ur
+- ug
+- uz
+- other-valencian
+- vi
+- guc
+- cy
+- wo
+- yo
+licenses:
+- ms-pl
+multilinguality:
+- multilingual
+- translation
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- conditional-text-generation
+task_ids:
+- machine-translation
+---
+
+# Dataset Card for [ms_terms]
+
+## 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:**
+
+[Microsoft Terminology Collection](https://www.microsoft.com/en-us/language/terminology)
+
+- **Repository:**
+- **Paper:**
+- **Leaderboard:**
+- **Point of Contact:**
+
+### Dataset Summary
+
+The Microsoft Terminology Collection can be used to develop localized versions of applications that integrate with Microsoft products. It can also be used to integrate Microsoft terminology into other terminology collections or serve as a base IT glossary for language development in the nearly 100 languages available. Terminology is provided in .tbx format, an industry standard for terminology exchange.
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+Nearly 100 Languages.
+
+## 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]

dataset_infos.json

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+{"default": {"description": "The Microsoft Terminology Collection can be used to develop localized versions of applications that integrate with Microsoft products.\nIt can also be used to integrate Microsoft terminology into other terminology collections or serve as a base IT glossary\nfor language development in the nearly 100 languages available. Terminology is provided in .tbx format, an industry standard for terminology exchange.\n", "citation": "", "homepage": "https://www.microsoft.com/en-us/language/terminology", "license": "", "features": {"entry_id": {"dtype": "string", "id": null, "_type": "Value"}, "term_source": {"dtype": "string", "id": null, "_type": "Value"}, "pos": {"dtype": "string", "id": null, "_type": "Value"}, "definition": {"dtype": "string", "id": null, "_type": "Value"}, "term_target": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "ms_terms", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 6995497, "num_examples": 33738, "dataset_name": "ms_terms"}}, "download_checksums": {}, "download_size": 0, "post_processing_size": null, "dataset_size": 6995497, "size_in_bytes": 6995497}}

dummy/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b26c800abd105c54e58af7d7fb634b5aaea9edb9ab127a932963915cbcc10af0
+size 2634

ms_terms.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.
+"""The Microsoft Terminology Collection."""
+
+from __future__ import absolute_import, division, print_function
+
+import os
+import xml.etree.ElementTree as ElementTree
+
+import datasets
+
+
+_DESCRIPTION = """\
+The Microsoft Terminology Collection can be used to develop localized versions of applications that integrate with Microsoft products.
+It can also be used to integrate Microsoft terminology into other terminology collections or serve as a base IT glossary
+for language development in the nearly 100 languages available. Terminology is provided in .tbx format, an industry standard for terminology exchange.
+"""
+
+_LICENSE = """\
+See the Microsoft Language Portal Materials License and the Microsoft Terms of Use for details.
+"""
+
+_ENTRY_ID = "entry_id"
+_TERM_SOURCE = "term_source"
+_TERM_POS = "pos"
+_TERM_DEFINITION = "definition"
+_TERM_TARGET = "term_target"
+
+_FILENAME = "MicrosoftTermCollection.tbx"
+
+
+class MsTerms(datasets.GeneratorBasedBuilder):
+    """The Microsoft Terminology Collection."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    @property
+    def manual_download_instructions(self):
+        return """\
+    You need to go to https://www.microsoft.com/en-us/language/terminology,
+    and manually download the language of your interest. Once it is completed,
+    a file named MicrosoftTermCollection.tbx will be appeared in your Downloads folder
+    or whichever folder your browser chooses to save files to.
+    You can then move MicrosoftTermCollection.tbx under <path/to/folder>.
+    The <path/to/folder> can e.g. be "~/manual_data".
+    ms_terms can then be loaded using the following command `datasets.load_dataset("ms_terms", data_dir="<path/to/folder>")`.
+    """
+
+    def _info(self):
+        feature_names = [_ENTRY_ID, _TERM_SOURCE, _TERM_POS, _TERM_DEFINITION, _TERM_TARGET]
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features({k: datasets.Value("string") for k in feature_names}),
+            supervised_keys=None,
+            homepage="https://www.microsoft.com/en-us/language/terminology",
+            citation="",
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        path_to_manual_file = os.path.join(os.path.abspath(os.path.expanduser(dl_manager.manual_dir)), _FILENAME)
+
+        if not os.path.exists(path_to_manual_file):
+            raise FileNotFoundError(
+                "{} does not exist. Make sure you insert a manual dir via `datasets.load_dataset('ms_terms', data_dir=...)` that includes a file name {}. Manual download instructions: {})".format(
+                    path_to_manual_file, _FILENAME, self.manual_download_instructions
+                )
+            )
+        return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"path": path_to_manual_file})]
+
+    def _generate_examples(self, path=None, title_set=None):
+        tree = ElementTree.parse(path)
+        root = tree.getroot()
+        for i, entry in enumerate(root.findall(".//termEntry")):
+            entry_id = entry.attrib.get("id")
+            langsets = entry.findall("./langSet")
+            if len(langsets) != 2:
+                continue
+
+            term_source = langsets[0].find(".//term").text
+            term_definition = langsets[0].find(".//descrip").text
+            term_pos = langsets[0].find(".//termNote").text
+            term_target = langsets[1].find(".//term").text
+            yield i, {
+                _ENTRY_ID: entry_id,
+                _TERM_SOURCE: term_source,
+                _TERM_POS: term_pos,
+                _TERM_DEFINITION: term_definition,
+                _TERM_TARGET: term_target,
+            }