Update files from the datasets library (from 1.0.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.0.0

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
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+*.lfs.* filter=lfs diff=lfs merge=lfs -text
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+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
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+*.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
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dataset_infos.json

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+{"2019-08-01": {"description": "KILT-Wikipedia: Wikipedia pre-processed for KILT.\n", "citation": "@inproceedings{fb_kilt,\n    author    = {Fabio Petroni and\n                 Aleksandra Piktus and\n                 Angela Fan and\n                 Patrick Lewis and\n                 Majid Yazdani and\n                 Nicola De Cao and\n                 James Thorne and\n                 Yacine Jernite and\n                 Vassilis Plachouras and\n                 Tim Rockt\"aschel and\n                 Sebastian Riedel},\n    title     = {{KILT:} a {B}enchmark for {K}nowledge {I}ntensive {L}anguage {T}asks},\n    journal   = {CoRR},\n    archivePrefix = {arXiv},\n    year      = {2020},\n", "homepage": "https://github.com/facebookresearch/KILT", "license": "", "features": {"kilt_id": {"dtype": "string", "id": null, "_type": "Value"}, "wikipedia_id": {"dtype": "string", "id": null, "_type": "Value"}, "wikipedia_title": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"feature": {"paragraph": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}, "anchors": {"feature": {"paragraph_id": {"dtype": "int32", "id": null, "_type": "Value"}, "start": {"dtype": "int32", "id": null, "_type": "Value"}, "end": {"dtype": "int32", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "href": {"dtype": "string", "id": null, "_type": "Value"}, "wikipedia_title": {"dtype": "string", "id": null, "_type": "Value"}, "wikipedia_id": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}, "categories": {"dtype": "string", "id": null, "_type": "Value"}, "wikidata_info": {"description": {"dtype": "string", "id": null, "_type": "Value"}, "enwikiquote_title": {"dtype": "string", "id": null, "_type": "Value"}, "wikidata_id": {"dtype": "string", "id": null, "_type": "Value"}, "wikidata_label": {"dtype": "string", "id": null, "_type": "Value"}, "wikipedia_title": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": {"feature": {"alias": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "history": {"pageid": {"dtype": "int32", "id": null, "_type": "Value"}, "parentid": {"dtype": "int32", "id": null, "_type": "Value"}, "revid": {"dtype": "int32", "id": null, "_type": "Value"}, "pre_dump": {"dtype": "bool", "id": null, "_type": "Value"}, "timestamp": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}}}, "post_processed": {"features": null, "resources_checksums": {"full": {}}}, "supervised_keys": null, "builder_name": "kilt_wikipedia", "config_name": "2019-08-01", "version": {"version_str": "1.0.0", "description": "Wikipedia pre-processed for KILT", "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"full": {"name": "full", "num_bytes": 29372535718, "num_examples": 5903530, "dataset_name": "kilt_wikipedia"}}, "download_checksums": {"http://dl.fbaipublicfiles.com/KILT/kilt_knowledgesource.json": {"num_bytes": 37318876722, "checksum": "f966d6f09c4ff91656db5c56c384f136b0c495c7083c043586b8cb1033c389a5"}}, "download_size": 37318876722, "post_processing_size": 0, "dataset_size": 29372535718, "size_in_bytes": 66691412440}}

dummy/2019-08-01/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e1965aa0b6df1805c977b789ccebbf9f1057a41346cdcac751822c22f1620b87
+size 335

kilt_wikipedia.py

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+# coding=utf-8
+# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
+#
+# 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.
+
+# Lint as: python3
+"""Wikipedia knowledge source for KILT"""
+
+from __future__ import absolute_import, division, print_function
+
+import json
+import logging
+
+import datasets
+
+
+_CITATION = """\
+@inproceedings{fb_kilt,
+    author    = {Fabio Petroni and
+                 Aleksandra Piktus and
+                 Angela Fan and
+                 Patrick Lewis and
+                 Majid Yazdani and
+                 Nicola De Cao and
+                 James Thorne and
+                 Yacine Jernite and
+                 Vassilis Plachouras and
+                 Tim Rockt\"aschel and
+                 Sebastian Riedel},
+    title     = {{KILT:} a {B}enchmark for {K}nowledge {I}ntensive {L}anguage {T}asks},
+    journal   = {CoRR},
+    archivePrefix = {arXiv},
+    year      = {2020},
+"""
+
+_DESCRIPTION = """\
+KILT-Wikipedia: Wikipedia pre-processed for KILT.
+"""
+
+
+class KILTWikipediaConfig(datasets.BuilderConfig):
+    """BuilderConfig for KILTWikipedia."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for KILTWikipedia.
+
+            Args:
+        .
+              **kwargs: keyword arguments forwarded to super.
+        """
+        super(KILTWikipediaConfig, self).__init__(
+            version=datasets.Version("1.0.0", "Wikipedia pre-processed for KILT"), **kwargs
+        )
+
+
+class KILTWikipedia(datasets.GeneratorBasedBuilder):
+    """KILTWikipedia: Wikipedia pre-processed for KILT. Version 1.0."""
+
+    BUILDER_CONFIGS = [
+        KILTWikipediaConfig(
+            name="2019-08-01",
+            description="Wikipedia pre-processed for KILT from 2019/08/01 dump",
+        ),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "kilt_id": datasets.Value("string"),
+                    "wikipedia_id": datasets.Value("string"),
+                    "wikipedia_title": datasets.Value("string"),
+                    "text": datasets.features.Sequence({"paragraph": datasets.Value("string")}),
+                    "anchors": datasets.features.Sequence(
+                        {
+                            "paragraph_id": datasets.Value("int32"),
+                            "start": datasets.Value("int32"),
+                            "end": datasets.Value("int32"),
+                            "text": datasets.Value("string"),
+                            "href": datasets.Value("string"),
+                            "wikipedia_title": datasets.Value("string"),
+                            "wikipedia_id": datasets.Value("string"),
+                        }
+                    ),
+                    "categories": datasets.Value("string"),
+                    "wikidata_info": datasets.Features(
+                        {
+                            "description": datasets.Value("string"),
+                            "enwikiquote_title": datasets.Value("string"),
+                            "wikidata_id": datasets.Value("string"),
+                            "wikidata_label": datasets.Value("string"),
+                            "wikipedia_title": datasets.Value("string"),
+                            "aliases": datasets.features.Sequence({"alias": datasets.Value("string")}),
+                        }
+                    ),
+                    "history": datasets.Features(
+                        {
+                            "pageid": datasets.Value("int32"),
+                            "parentid": datasets.Value("int32"),
+                            "revid": datasets.Value("int32"),
+                            "pre_dump": datasets.Value("bool"),
+                            "timestamp": datasets.Value("string"),
+                            "url": datasets.Value("string"),
+                        }
+                    ),
+                }
+            ),
+            # No default supervised_keys (as we have to pass both premise
+            # and hypothesis as input).
+            supervised_keys=None,
+            homepage="https://github.com/facebookresearch/KILT",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+
+        downloaded_path = dl_manager.download_and_extract(
+            "http://dl.fbaipublicfiles.com/KILT/kilt_knowledgesource.json"
+        )
+
+        return [
+            datasets.SplitGenerator(name="full", gen_kwargs={"filepath": downloaded_path}),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Generate Wikipedia articles for KILT.
+
+        Args:
+          filepath: a string
+
+        Yields:
+          dictionaries representing article data and metadata
+        """
+        logging.info("generating examples from = %s", filepath)
+        with open(filepath, encoding="utf-8") as f:
+            for idx, line in enumerate(f):
+                pre_article = json.loads(line.strip())
+                article = dict([(k, pre_article[k]) for k in ["wikipedia_id", "wikipedia_title", "categories"]])
+                # wikidata
+                article["wikidata_info"] = {}
+                pre_article["wikidata_info"] = pre_article.get("wikidata_info", {})
+                if pre_article["wikidata_info"].get("aliases", None) is None:
+                    pre_article["wikidata_info"]["aliases"] = []
+                for k in ["description", "enwikiquote_title", "wikidata_id", "wikidata_label", "wikipedia_title"]:
+                    val = pre_article["wikidata_info"].get(k, None)
+                    article["wikidata_info"][k] = "" if val is None else val
+                article["wikidata_info"]["aliases"] = {"alias": pre_article["wikidata_info"]["aliases"]}
+                # history
+                article["history"] = {}
+                pre_article["history"] = pre_article.get("history", {})
+                pre_dump = pre_article["history"].get("pre_dump", None)
+                article["history"]["pre_dump"] = False if pre_dump is None else pre_dump
+                for k in ["pageid", "parentid", "revid"]:
+                    val = pre_article["history"].get(k, None)
+                    article["history"][k] = -1 if val is None else val
+                for k in ["timestamp", "url"]:
+                    val = pre_article["history"].get(k, None)
+                    article["history"][k] = "" if val is None else val
+                # everything else
+                article["kilt_id"] = pre_article["_id"]
+                article["text"] = {"paragraph": pre_article["text"]}
+                article["anchors"] = {}
+                for k in ["paragraph_id", "start", "end", "text", "href", "wikipedia_title", "wikipedia_id"]:
+                    article["anchors"][k] = [anchor.get(k, "") for anchor in pre_article["anchors"]]
+                yield idx, article