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.gitattributes

@@ -52,3 +52,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+data/pt_un/train.csv filter=lfs diff=lfs merge=lfs -text
+data/pt_unla/train.csv filter=lfs diff=lfs merge=lfs -text

cscomm.py

@@ -0,0 +1,125 @@
+import json
+
+import datasets
+
+from pathlib import Path
+
+import pandas as pd
+
+BASE_DATA_PATH = Path("./data")
+
+
+class CSCOMMConfig(datasets.BuilderConfig):
+    """BuilderConfig for CSCOMM."""
+
+    def __init__(self, key, pretraining=False, data_path="./data", **kwargs):
+        """BuilderConfig for CSCOMM.
+        Args:
+          key: `string`
+          **kwargs: keyword arguments forwarded to super.
+        """
+        # Version history:
+        # 0.0.1: Initial version.
+        super(CSCOMMConfig, self).__init__(version=datasets.Version("0.0.1"), **kwargs)
+        self.key = key
+        self.pretraining = pretraining
+
+
+class CSCOMM(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        CSCOMMConfig(
+            name="AP",
+            key="ap"
+        ),
+        CSCOMMConfig(
+            name="AP+P",
+            key="ap_p"
+        ),
+        CSCOMMConfig(
+            name="AP+J",
+            key="ap_j"
+        ),
+        CSCOMMConfig(
+            name="AP+PJ",
+            key="ap_pj"
+        ),
+        CSCOMMConfig(
+            name="BA",
+            key="ba"
+        ),
+        CSCOMMConfig(
+            name="BA+P",
+            key="ba_p"
+        ),
+        CSCOMMConfig(
+            name="BA+J",
+            key="ba_j"
+        ),
+        CSCOMMConfig(
+            name="BA+PJ",
+            key="ba_pj"
+        ),
+        CSCOMMConfig(
+            name="pretrain-unlabeled",
+            key="pt_un",
+            pretraining=True
+        ),
+        CSCOMMConfig(
+            name="pretrain-labeled",
+            key="pt_la",
+            pretraining=True
+        ),
+        CSCOMMConfig(
+            name="pretrain-both",
+            key="pt_unla",
+            pretraining=True
+        ),
+    ]
+
+    def _info(self):
+        features = {
+            "round_id": datasets.Value("string"),
+            "source": datasets.Value("string")
+        }
+        if not self.config.pretraining:
+            features["commentary"] = datasets.Value("string")
+
+        return datasets.DatasetInfo(
+            features=datasets.Features(features),
+        )
+
+    def _split_generators(self, dl_manager):
+        data_path = BASE_DATA_PATH / self.config.key
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "data_file": data_path / "train.csv",
+                    "split": datasets.Split.TRAIN,
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "data_file": data_path / "valid.csv",
+                    "split": datasets.Split.VALIDATION,
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "data_file": data_path / "test.csv",
+                    "split": datasets.Split.TEST,
+                },
+            ),
+        ]
+
+    def _generate_examples(self, data_file, split):
+        df = pd.read_csv(data_file)
+        for i, row in enumerate(df.itertuples()):
+            example = {"idx": i, "round_id": row.round_id, "source": row.source}
+            if not self.config.pretraining:
+                example["commentary"] = row.commentary
+
+            yield example["idx"], example

data/pt_un/train.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fad90b10996d3d1c3b55f3b1ba1dcc2e5c6db94ac79fa5ca9ec8906e8cc62593
+size 13164412

data/pt_unla/train.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a0cdd3e3836b1cdb76df447a01b5061fa50945353931ad4d6fb383cf5e552a7f
+size 18971388