Data visualization fixed

OLD/casum.py

@@ -0,0 +1,86 @@
+# Loading script for the CaSum dataset.
+import json
+import datasets
+
+logger = datasets.logging.get_logger(__name__)
+
+_CITATION = """@misc{degibert2022sequencetosequence,
+      title={Sequence-to-Sequence Resources for Catalan}, 
+      author={Ona de Gibert and Ksenia Kharitonova and Blanca Calvo Figueras and Jordi Armengol-Estapé and Maite Melero},
+      year={2022},
+      eprint={2202.06871},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}"""
+
+_DESCRIPTION = """CaSum is a summarization dataset. It is extracted from a newswire corpus crawled from the Catalan News Agency. The corpus consists of 217,735 instances that are composed by the headline and the body.
+"""
+
+_HOMEPAGE = """https://github.com/TeMU-BSC/seq-to-seq-catalan"""
+
+_URL = "https://huggingface.co/datasets/projecte-aina/casum/resolve/main/"
+_TRAIN_FILE = "train.jsonl"
+_VALID_FILE = "valid.jsonl"
+_TEST_FILE = "test.jsonl"
+
+class CaSumConfig(datasets.BuilderConfig):
+    """ Builder config for the CaSum dataset """
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for CaSum.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(CaSumConfig, self).__init__(**kwargs)
+
+
+class CaSum(datasets.GeneratorBasedBuilder):
+    """CaSum Dataset."""
+
+    BUILDER_CONFIGS = [
+        CaSumConfig(
+            name="CaSum",
+            version=datasets.Version("1.0.0"),
+            description="CaSum dataset"
+        ),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "summary": datasets.Value("string"),
+                    "text": datasets.Value("string")
+                }
+       
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION
+        )
+        
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        urls_to_download = {
+            "train": f"{_URL}{_TRAIN_FILE}",
+            "valid": f"{_URL}{_VALID_FILE}",
+            "test": f"{_URL}{_TEST_FILE}"
+        }
+        downloaded_files = dl_manager.download_and_extract(urls_to_download)
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["valid"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
+        ]
+
+    def _generate_examples(self, filepath):
+        """This function returns the examples in the raw (text) form."""
+        logger.info("generating examples from = %s", filepath)
+        with open(filepath) as f:
+            for id_, row in enumerate(f):
+                article = json.loads(row)
+                text = article['text']
+                summary = article['summary']
+                yield id_, { "summary": summary,"text": text}

data/test.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a89ab6ba4a414c5eeb3bb12984930a8c1572fb9a45a3180635215503f96732fe
+size 22414860

data/train.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f2f41efa8ea790d57e3aa4dbaf786aba5589435e8fc8491d7511df975c5ca01e
+size 442268535

data/valid.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb210735172c0d09e6321c6fa5cab9dc12fd5ffa2b254c5916c70b287b8c9e03
+size 22387837