Add v20220616 release files

.gitattributes

@@ -39,3 +39,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.mp3 filter=lfs diff=lfs merge=lfs -text
 *.ogg filter=lfs diff=lfs merge=lfs -text
 *.wav filter=lfs diff=lfs merge=lfs -text
+# MultiLexSum Specific 
+*.json filter=lfs diff=lfs merge=lfs -text

multi_lexsum.py

@@ -0,0 +1,155 @@
+from typing import List, Union, Dict, Any, Tuple
+import json
+import os
+
+import datasets
+from datasets.tasks import Summarization
+
+logger = datasets.logging.get_logger(__name__)
+
+
+def _load_jsonl(filename):
+    with open(filename, "r") as fp:
+        jsonl_content = fp.read()
+
+    result = [json.loads(jline) for jline in jsonl_content.splitlines()]
+    return result
+
+
+def _load_json(filepath):
+
+    with open(filepath, "r") as fp:
+        res = json.load(fp)
+    return res
+
+
+_CITATION = """
+@article{Shen2022MultiLexSum,
+    author    = {Zejiang Shen and
+                Kyle Lo and
+                Lauren Yu and
+                Nathan Dahlberg and
+                Margo Schlanger and
+                Doug Downey},
+    title     = {Multi-LexSum: Real-World Summaries of Civil Rights Lawsuits at Multiple Granularities},
+    journal   = {CoRR},
+    volume    = {abs/2206.10883},
+    year      = {2022},
+    url       = {https://doi.org/10.48550/arXiv.2206.10883},
+    doi       = {10.48550/arXiv.2206.10883}
+}
+"""  # TODO
+
+_DESCRIPTION = """
+Multi-LexSum is a multi-doc summarization dataset for civil rights litigation lawsuits with summaries of three granularities. 
+"""  # TODO: Update with full abstract 
+
+_HOMEPAGE = "https://multilexsum.github.io"
+
+# _BASE_URL = "https://ai2-s2-research.s3.us-west-2.amazonaws.com/multilexsum/releases"
+_BASE_URL = "https://huggingface.co/datasets/allenai/multi_lexsum/resolve/main/releases"
+_FILES = {
+    "train": "train.json",
+    "dev": "dev.json",
+    "test": "test.json",
+    "sources": "sources.json",
+}
+
+
+class MultiLexsumConfig(datasets.BuilderConfig):
+    """BuilderConfig for LexSum."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for LexSum.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(MultiLexsumConfig, self).__init__(**kwargs)
+
+
+class MultiLexsum(datasets.GeneratorBasedBuilder):
+    """MultiLexSum Dataset: a multi-doc summarization dataset for 
+    civil rights litigation lawsuits with summaries of three granularities. 
+    """
+
+    BUILDER_CONFIGS = [
+        MultiLexsumConfig(
+            name="v20220616",
+            version=datasets.Version("1.0.0", "Public v1.0 release."),
+            description="The v1.0 Multi-LexSum dataset",
+        ),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "sources": datasets.Sequence(datasets.Value("string")),
+                    "summary/long": datasets.Value("string"),
+                    "summary/short": datasets.Value("string"),
+                    "summary/tiny": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+            task_templates=[
+                Summarization(text_column="source", summary_column="summary/long")
+            ],
+        )
+
+    def _split_generators(self, dl_manager):
+
+        base_url = _BASE_URL if self.config.data_dir is None else self.config.data_dir
+        downloaded_files = dl_manager.download_and_extract(
+            {
+                name: f"{base_url}/{self.config.name}/{filename}"
+                for name, filename in _FILES.items()
+            }
+        )
+        # Given sources is a large file, we read it first
+        sources = _load_json(downloaded_files["sources"])
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "subset_file": downloaded_files["train"],
+                    "sources": sources,
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "subset_file": downloaded_files["dev"],
+                    "sources": sources,
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "subset_file": downloaded_files["test"],
+                    "sources": sources,
+                },
+            ),
+        ]
+
+    def _generate_examples(self, subset_file: str, sources: Dict[str, Dict]):
+        """This function returns the examples in the raw (text) form."""
+        logger.info(f"generating examples from = {subset_file}")
+
+        subset_cases = _load_jsonl(subset_file)
+        for case_data in subset_cases:
+            case_sources = [
+                sources[source_id]["doc_text"]
+                for source_id in case_data["case_documents"]
+            ]
+            yield case_data["case_id"], {
+                "id": case_data["case_id"],
+                "sources": case_sources,
+                "summary/long": case_data["summary/long"],
+                "summary/short": case_data["summary/short"],
+                "summary/tiny": case_data["summary/tiny"],
+            }

releases/v20220616/dev.json

@@ -0,0 +1,3 @@
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+oid sha256:00b5110633b1b3d5c33e6cc4645525b3633cbb1844fcdc63315f6b2b340fa958
+size 2281645

releases/v20220616/sources.json

@@ -0,0 +1,3 @@
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+oid sha256:d15a29d05ee4c8052270bf630633ec5b8c5ff7dab6cc480c009dc50f76c8ce24
+size 2219115572

releases/v20220616/test.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:64fafb058f84cef09fc3d89df3ef913ee824d28f62bde9c1c9f52cc4d7c5b40a
+size 4272330

releases/v20220616/train.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:edb45aee04a4aa1eebce2ec05880304322f29baf1b7bcf2c23409c020cae6aca
+size 15711733