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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+*.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
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+*.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
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+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

dataset_infos.json

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+{"wiki40b_en_100_0": {"description": "Wikipedia version split into plain text snippets for dense semantic indexing.\n", "citation": "@ONLINE {wikidump,\n    author = \"Wikimedia Foundation\",\n    title  = \"Wikimedia Downloads\",\n    url    = \"https://dumps.wikimedia.org\"\n}\n", "homepage": "https://dumps.wikimedia.org", "license": "", "features": {"_id": {"dtype": "string", "id": null, "_type": "Value"}, "datasets_id": {"dtype": "int32", "id": null, "_type": "Value"}, "wiki_id": {"dtype": "string", "id": null, "_type": "Value"}, "start_paragraph": {"dtype": "int32", "id": null, "_type": "Value"}, "start_character": {"dtype": "int32", "id": null, "_type": "Value"}, "end_paragraph": {"dtype": "int32", "id": null, "_type": "Value"}, "end_character": {"dtype": "int32", "id": null, "_type": "Value"}, "article_title": {"dtype": "string", "id": null, "_type": "Value"}, "section_title": {"dtype": "string", "id": null, "_type": "Value"}, "passage_text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "wiki_snippets", "config_name": "wiki40b_en_100_0", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 12864038411, "num_examples": 17553713, "dataset_name": "wiki_snippets"}}, "download_checksums": {}, "download_size": 0, "dataset_size": 12864038411, "size_in_bytes": 12864038411}, "wikipedia_en_100_0": {"description": "Wikipedia version split into plain text snippets for dense semantic indexing.\n", "citation": "@ONLINE {wikidump,\n    author = \"Wikimedia Foundation\",\n    title  = \"Wikimedia Downloads\",\n    url    = \"https://dumps.wikimedia.org\"\n}\n", "homepage": "https://dumps.wikimedia.org", "license": "", "features": {"_id": {"dtype": "string", "id": null, "_type": "Value"}, "datasets_id": {"dtype": "int32", "id": null, "_type": "Value"}, "wiki_id": {"dtype": "string", "id": null, "_type": "Value"}, "start_paragraph": {"dtype": "int32", "id": null, "_type": "Value"}, "start_character": {"dtype": "int32", "id": null, "_type": "Value"}, "end_paragraph": {"dtype": "int32", "id": null, "_type": "Value"}, "end_character": {"dtype": "int32", "id": null, "_type": "Value"}, "article_title": {"dtype": "string", "id": null, "_type": "Value"}, "section_title": {"dtype": "string", "id": null, "_type": "Value"}, "passage_text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "wiki_snippets", "config_name": "wikipedia_en_100_0", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 23837250095, "num_examples": 30820408, "dataset_name": "wiki_snippets"}}, "download_checksums": {}, "download_size": 0, "dataset_size": 23837250095, "size_in_bytes": 23837250095}}

wiki_snippets.py

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+import json
+import logging
+import math
+
+import datasets
+
+
+_CITATION = """\
+@ONLINE {wikidump,
+    author = {Wikimedia Foundation},
+    title  = {Wikimedia Downloads},
+    url    = {https://dumps.wikimedia.org}
+}
+"""
+
+_DESCRIPTION = """\
+Wikipedia version split into plain text snippets for dense semantic indexing.
+"""
+
+_LICENSE = (
+    "This work is licensed under the Creative Commons Attribution-ShareAlike "
+    "3.0 Unported License. To view a copy of this license, visit "
+    "http://creativecommons.org/licenses/by-sa/3.0/ or send a letter to "
+    "Creative Commons, PO Box 1866, Mountain View, CA 94042, USA."
+)
+
+
+def wiki40b_article_snippets(article, passage_len=100, overlap=0):
+    paragraphs = article["text"].split("\n")
+    aticle_idx = paragraphs.index("_START_ARTICLE_") + 1
+    article_title = paragraphs[aticle_idx] if aticle_idx < len(paragraphs) else ""
+    section_indices = [i + 1 for i, par in enumerate(paragraphs[:-1]) if par == "_START_SECTION_"]
+    par_tabs = [par.split(" ") for par in paragraphs]
+    word_map = [
+        (i, len(" ".join(par[:j])), w)
+        for i, par in enumerate(par_tabs)
+        if not par[0].startswith("_START_")
+        for j, w in enumerate(par)
+        if i > 0
+    ]
+    step_size = passage_len - overlap
+    passages = []
+    for i in range(math.ceil(len(word_map) / step_size)):
+        pre_toks = word_map[i * step_size : i * step_size + passage_len]
+        start_section_id = max([0] + [j for j in section_indices if j <= pre_toks[0][0]])
+        section_ids = [j for j in section_indices if j >= start_section_id and j <= pre_toks[-1][0]]
+        section_ids = section_ids if len(section_ids) > 0 else [0]
+        passage_text = " ".join([w for p_id, s_id, w in pre_toks])
+        passages += [
+            {
+                "article_title": article_title,
+                "section_title": " & ".join([paragraphs[j] for j in section_ids]),
+                "wiki_id": article["wikidata_id"],
+                "start_paragraph": pre_toks[0][0],
+                "start_character": pre_toks[0][1],
+                "end_paragraph": pre_toks[-1][0],
+                "end_character": pre_toks[-1][1] + len(pre_toks[-1][2]) + 1,
+                "passage_text": passage_text.replace("_NEWLINE_", "\n"),
+            }
+        ]
+    return passages
+
+
+def wikipedia_article_snippets(article, passage_len=100, overlap=0):
+    paragraphs = [par for par in article["text"].split("\n") if not par.startswith("Category:")]
+    if "References" in paragraphs:
+        paragraphs = paragraphs[: paragraphs.index("References")]
+    article_title = article["title"]
+    section_indices = [
+        i + 1
+        for i, par in enumerate(paragraphs[:-2])
+        if paragraphs[i] == "" and paragraphs[i + 1] != "" and paragraphs[i + 2] != ""
+    ]
+    par_tabs = [par.split(" ") for par in paragraphs]
+    word_map = [(i, len(" ".join(par[:j])), w) for i, par in enumerate(par_tabs) for j, w in enumerate(par)]
+    step_size = passage_len - overlap
+    passages = []
+    for i in range(math.ceil(len(word_map) / step_size)):
+        pre_toks = word_map[i * step_size : i * step_size + passage_len]
+        start_section_id = max([0] + [j for j in section_indices if j <= pre_toks[0][0]])
+        section_ids = [j for j in section_indices if j >= start_section_id and j <= pre_toks[-1][0]]
+        section_ids = section_ids if len(section_ids) > 0 else [-1]
+        passage_text = " ".join([w for p_id, s_id, w in pre_toks])
+        passages += [
+            {
+                "article_title": article_title,
+                "section_title": " & ".join(["Start" if j == -1 else paragraphs[j].strip() for j in section_ids]),
+                "wiki_id": article_title.replace(" ", "_"),
+                "start_paragraph": pre_toks[0][0],
+                "start_character": pre_toks[0][1],
+                "end_paragraph": pre_toks[-1][0],
+                "end_character": pre_toks[-1][1] + len(pre_toks[-1][2]) + 1,
+                "passage_text": passage_text,
+            }
+        ]
+    return passages
+
+
+_SPLIT_FUCNTION_MAP = {
+    "wikipedia": wikipedia_article_snippets,
+    "wiki40b": wiki40b_article_snippets,
+}
+
+
+def generate_snippets(wikipedia, split_funtion, passage_len=100, overlap=0):
+    for i, article in enumerate(wikipedia):
+        for doc in split_funtion(article, passage_len, overlap):
+            part_id = json.dumps(
+                {
+                    "datasets_id": i,
+                    "wiki_id": doc["wiki_id"],
+                    "sp": doc["start_paragraph"],
+                    "sc": doc["start_character"],
+                    "ep": doc["end_paragraph"],
+                    "ec": doc["end_character"],
+                }
+            )
+            doc["_id"] = part_id
+            doc["datasets_id"] = i
+            yield doc
+
+
+class WikiSnippetsConfig(datasets.BuilderConfig):
+    """BuilderConfig for WikiSnippets."""
+
+    def __init__(
+        self, wikipedia_name="wiki40b", wikipedia_version_name="en", snippets_length=100, snippets_overlap=0, **kwargs
+    ):
+        """BuilderConfig for WikiSnippets.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(WikiSnippetsConfig, self).__init__(**kwargs)
+        self.wikipedia_name = wikipedia_name
+        self.wikipedia_version_name = wikipedia_version_name
+        self.snippets_length = snippets_length
+        self.snippets_overlap = snippets_overlap
+
+
+class WikiSnippets(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIG_CLASS = WikiSnippetsConfig
+    BUILDER_CONFIGS = [
+        WikiSnippetsConfig(
+            name="wiki40b_en_100_0",
+            version=datasets.Version("1.0.0"),
+            wikipedia_name="wiki40b",
+            wikipedia_version_name="en",
+            snippets_length=100,
+            snippets_overlap=0,
+        ),
+        WikiSnippetsConfig(
+            name="wikipedia_en_100_0",
+            version=datasets.Version("1.0.0"),
+            wikipedia_name="wikipedia",
+            wikipedia_version_name="20200501.en",
+            snippets_length=100,
+            snippets_overlap=0,
+        ),
+    ]
+
+    test_dummy_data = False
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "_id": datasets.Value("string"),
+                    "datasets_id": datasets.Value("int32"),
+                    "wiki_id": datasets.Value("string"),
+                    "start_paragraph": datasets.Value("int32"),
+                    "start_character": datasets.Value("int32"),
+                    "end_paragraph": datasets.Value("int32"),
+                    "end_character": datasets.Value("int32"),
+                    "article_title": datasets.Value("string"),
+                    "section_title": datasets.Value("string"),
+                    "passage_text": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://dumps.wikimedia.org",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+
+        wikipedia = datasets.load_dataset(
+            path=self.config.wikipedia_name,
+            name=self.config.wikipedia_version_name,
+        )
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"wikipedia": wikipedia}),
+        ]
+
+    def _generate_examples(self, wikipedia):
+        logging.info(
+            "generating examples from = {} {}".format(self.config.wikipedia_name, self.config.wikipedia_version_name)
+        )
+        for split in wikipedia:
+            dset = wikipedia[split]
+            split_function = _SPLIT_FUCNTION_MAP[self.config.wikipedia_name]
+            for doc in generate_snippets(
+                dset, split_function, passage_len=self.config.snippets_length, overlap=self.config.snippets_overlap
+            ):
+                id_ = doc["_id"]
+                yield id_, doc