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escorpius.py

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+# coding=utf-8
+# Copyright 2022 esCorpius authors
+# The code required to produce and load this dataset is licensed under MIT License.
+# The code samples included in this dataset keep their own licenses, which can be retrieved via their metadata.
+# 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.
+
+# Please note that the dataset release is still work in progress.
+
+"""The esCorpius dataset."""
+
+import json
+
+import datasets
+
+from pathlib import Path
+
+
+_CITATION = """\
+@misc{TODO
+}
+"""
+
+_DESCRIPTION = """\
+Spanish dataset
+"""  # TODO: expand
+
+_HOMEPAGE = "https://huggingface.co/datasets/LHF/escorpius"
+
+_LICENSE = "CC BY-NC-ND 4.0"
+
+_URL = ""  
+
+
+_FEATURES = datasets.Features(
+    {
+        "id": datasets.Value("string"),
+        "text": datasets.Value("string"),
+        "url_warc": datasets.Value("string"),
+        "url": datasets.Value("string")
+
+    }
+)
+
+
+class EsCorpiusConfig(datasets.BuilderConfig):
+    """BuilderConfig for esCorpius."""
+
+    def __init__(self, *args, **kwargs):
+        """BuilderConfig for The Pile.
+        Args:
+            **kwargs: keyword arguments forwarded to super.
+        """
+        super().__init__(
+            *args,
+            **kwargs,
+        )
+
+
+class EsCorpius(datasets.GeneratorBasedBuilder):
+    """The esCorpius dataset."""
+
+    BUILDER_CONFIGS = [
+        EsCorpiusConfig(
+            name="esCorpius",
+            version=datasets.Version("1.0.1"),
+            description="Spanish dataset"
+        ),
+    ]
+
+    def _info(self):
+        """Give information and typings for the dataset."""
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # This defines the different columns of the dataset and their types
+            features=_FEATURES,
+            # If there's a common (input, target) tuple from the features,
+            # specify them here. They'll be used if as_supervised=True in
+            # builder.as_dataset.
+            supervised_keys=None,
+            # Homepage of the dataset for documentation
+            homepage=_HOMEPAGE,
+            # License for the dataset if available
+            license=_LICENSE,
+            # Citation for the dataset
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        urls_to_download = [
+                'es_corpus.jsonl.aa',
+                'es_corpus.jsonl.ab',
+                'es_corpus.jsonl.ac',
+                'es_corpus.jsonl.ad',
+                'es_corpus.jsonl.ae',
+                'es_corpus.jsonl.af',
+                'es_corpus.jsonl.ag',
+                'es_corpus.jsonl.ah',
+                'es_corpus.jsonl.ai',
+                'es_corpus.jsonl.aj',
+                'es_corpus.jsonl.ak',
+                'es_corpus.jsonl.al',
+                'es_corpus.jsonl.am',
+                'es_corpus.jsonl.an',
+                'es_corpus.jsonl.ao',
+                'es_corpus.jsonl.ap',
+                'es_corpus.jsonl.aq',
+                'es_corpus.jsonl.ar',
+                'es_corpus.jsonl.as',
+                'es_corpus.jsonl.at',
+                'es_corpus.jsonl.au',
+                'es_corpus.jsonl.av',
+                'es_corpus.jsonl.aw',
+                'es_corpus.jsonl.ax',
+                'es_corpus.jsonl.ay',
+                'es_corpus.jsonl.az',
+                'es_corpus.jsonl.ba',
+                'es_corpus.jsonl.bb',
+                'es_corpus.jsonl.bc',
+                'es_corpus.jsonl.bd',
+                'es_corpus.jsonl.be',
+                'es_corpus.jsonl.bf',
+                'es_corpus.jsonl.bg'
+             ]
+        downloaded_files = dl_manager.download_and_extract(urls_to_download)
+
+        return [
+
+            datasets.SplitGenerator(name='train',
+                                    gen_kwargs={"files": downloaded_files}),
+        ]
+
+    def _generate_examples(self, files):
+        """Yield examples as (key, example) tuples."""
+        key = 0
+
+        for path in sorted(Path(files).rglob('*.jsonl*')):
+            with open(open(path, "r"), encoding="utf-8") as f:
+                for row in f:
+                    data = json.loads(row)
+                    yield key, data
+                    key += 1