Update datasets script v0.1 → v0.2

(1) Fix blank "facts" values in "casename_classification" and "statute_classification".
(2) Add new test sets "test2.jsonl". These test sets do not overlap with "precedent_corpus".
(3) Add two new legal judgement prediction tasks.

lbox_open.py

@@ -2,31 +2,88 @@
 # Copyright 2022-present LBox Co. Ltd.
 # Licensed under the CC BY-NC-ND 4.0
 import json
+
 import datasets
 
 _CASENAME_CLASSIFICATION_FEATURES = {
-    "id": datasets.Value("int32"),
+    "id": datasets.Value("int64"),
     "casetype": datasets.Value("string"),
     "casename": datasets.Value("string"),
     "facts": datasets.Value("string"),
 }
 
 _STATUTE_CLASSIFICATION_FEATURES = {
-    "id": datasets.Value("int32"),
+    "id": datasets.Value("int64"),
     "casetype": datasets.Value("string"),
     "casename": datasets.Value("string"),
     "statutes": datasets.features.Sequence(datasets.Value("string")),
     "facts": datasets.Value("string"),
 }
 
+_LJP_CRIMINAL = {
+    "id": datasets.Value("int64"),
+    "casetype": datasets.Value("string"),
+    "casename": datasets.Value("string"),
+    "facts": datasets.Value("string"),
+    "reason": datasets.Value("string"),
+    "label": {
+        "text": datasets.Value("string"),
+        "fine_lv": datasets.Value("int64"),
+        "imprisonment_with_labor_lv": datasets.Value("int64"),
+        "imprisonment_without_labor_lv": datasets.Value("int64"),
+    },
+    "ruling": {
+        "text": datasets.Value("string"),
+        "parse": {
+            "fine": {
+                "type": datasets.Value("string"),
+                "unit": datasets.Value("string"),
+                "value": datasets.Value("int64"),
+            },
+            "imprisonment": {
+                "type": datasets.Value("string"),
+                "unit": datasets.Value("string"),
+                "value": datasets.Value("int64"),
+            },
+        },
+    },
+}
+
+_LJP_CIVIL = {
+    "id": datasets.Value("int64"),
+    "casetype": datasets.Value("string"),
+    "casename": datasets.Value("string"),
+    "facts": datasets.Value("string"),
+    "claim_acceptance_lv": datasets.Value("int64"),
+    "gist_of_claim": {
+        "text": datasets.Value("string"),
+        "money": {
+            "provider": datasets.Value("string"),
+            "taker": datasets.Value("string"),
+            "unit": datasets.Value("string"),
+            "value": datasets.Value("int64"),
+        },
+    },
+    "ruling": {
+        "text": datasets.Value("string"),
+        "money": {
+            "provider": datasets.Value("string"),
+            "taker": datasets.Value("string"),
+            "unit": datasets.Value("string"),
+            "value": datasets.Value("int64"),
+        },
+        "litigation_cost": datasets.Value("float32"),
+    },
+}
+
 _SUMMARIZATION_CLASSIFICATION_FEATURES = {
-    "id": datasets.Value("int32"),
+    "id": datasets.Value("int64"),
     "summary": datasets.Value("string"),
     "precedent": datasets.Value("string"),
 }
 
-_CASE_CORPUS_FEATURES = {
-    "id": datasets.Value("int32"),
+_PRECEDENT_CORPUS_FEATURES = {
+    "id": datasets.Value("int64"),
     "precedent": datasets.Value("string"),
 }
 
@@ -34,10 +91,20 @@ _CASE_CORPUS_FEATURES = {
 class LBoxOpenConfig(datasets.BuilderConfig):
     """BuilderConfig for OpenLBox."""
 
-    def __init__(self, features, data_url, citation, url, label_classes=("False", "True"), **kwargs):
+    def __init__(
+            self,
+            features,
+            data_url,
+            citation,
+            url,
+            label_classes=("False", "True"),
+            **kwargs,
+    ):
         # Version history:
         # 0.1.0: Initial version.
-        super(LBoxOpenConfig, self).__init__(version=datasets.Version("0.1.0"), **kwargs)
+        super(LBoxOpenConfig, self).__init__(
+            version=datasets.Version("0.2.0"), **kwargs
+        )
         self.features = features
         self.label_classes = label_classes
         self.data_url = data_url
@@ -47,12 +114,14 @@ class LBoxOpenConfig(datasets.BuilderConfig):
 
 class LBoxOpen(datasets.GeneratorBasedBuilder):
     """The Legal AI Benchmark dataset from Korean Legal Cases."""
+
     BUILDER_CONFIGS = [
         LBoxOpenConfig(
             name="casename_classification",
             description="",
             features=_CASENAME_CLASSIFICATION_FEATURES,
-            data_url="https://lbox-open.s3.ap-northeast-2.amazonaws.com/precedent_benchmark_dataset/casename_classification/v0.1.0/",
+            data_url="https://lbox-open.s3.ap-northeast-2.amazonaws.com/precedent_benchmark_dataset/casename_classification/v0.1.2/",
+            # data_url="https://lbox-open.s3.ap-northeast-2.amazonaws.com/precedent_benchmark_dataset/casename_classification/v0.1.0/",
             citation="",
             url="lbox.kr",
         ),
@@ -60,7 +129,24 @@ class LBoxOpen(datasets.GeneratorBasedBuilder):
             name="statute_classification",
             description="",
             features=_STATUTE_CLASSIFICATION_FEATURES,
-            data_url="https://lbox-open.s3.ap-northeast-2.amazonaws.com/precedent_benchmark_dataset/statute_classification/v0.1.0/",
+            data_url="https://lbox-open.s3.ap-northeast-2.amazonaws.com/precedent_benchmark_dataset/statute_classification/v0.1.2/",
+            # data_url="https://lbox-open.s3.ap-northeast-2.amazonaws.com/precedent_benchmark_dataset/statute_classification/v0.1.0/",
+            citation="",
+            url="lbox.kr",
+        ),
+        LBoxOpenConfig(
+            name="ljp_criminal",
+            description="",
+            features=_LJP_CRIMINAL,
+            data_url="https://lbox-open.s3.ap-northeast-2.amazonaws.com/precedent_benchmark_dataset/judgement_prediction/v0.1.2/criminal/",
+            citation="",
+            url="lbox.kr",
+        ),
+        LBoxOpenConfig(
+            name="ljp_civil",
+            description="",
+            features=_LJP_CIVIL,
+            data_url="https://lbox-open.s3.ap-northeast-2.amazonaws.com/precedent_benchmark_dataset/judgement_prediction/v0.1.2/civil/",
             citation="",
             url="lbox.kr",
         ),
@@ -73,9 +159,9 @@ class LBoxOpen(datasets.GeneratorBasedBuilder):
             url="lbox.kr",
         ),
         LBoxOpenConfig(
-            name="case_corpus",
+            name="precedent_corpus",
             description="",
-            features=_CASE_CORPUS_FEATURES,
+            features=_PRECEDENT_CORPUS_FEATURES,
             data_url="https://lbox-open.s3.ap-northeast-2.amazonaws.com/precedent_benchmark_dataset/case_corpus/v0.1.0/",
             citation="",
             url="lbox.kr",
@@ -91,9 +177,12 @@ class LBoxOpen(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        if self.config.name == "case_corpus":
+        if self.config.name == "precedent_corpus":
             dl_dir = {
-                "train": dl_manager.download_and_extract(f"{self.config.data_url}case_corpus-150k.jsonl") or "",
+                "train": dl_manager.download_and_extract(
+                    f"{self.config.data_url}case_corpus-150k.jsonl"
+                )
+                         or "",
             }
 
             return [
@@ -106,11 +195,70 @@ class LBoxOpen(datasets.GeneratorBasedBuilder):
                 )
             ]
 
+        elif self.config.name in ["casename_classification", "statute_classification", "ljp_criminal", "ljp_civil"]:
+            dl_dir = {
+                "train": dl_manager.download_and_extract(
+                    f"{self.config.data_url}train.jsonl"
+                )
+                         or "",
+                "valid": dl_manager.download_and_extract(
+                    f"{self.config.data_url}valid.jsonl"
+                )
+                         or "",
+                "test": dl_manager.download_and_extract(
+                    f"{self.config.data_url}test.jsonl"
+                )
+                        or "",
+                "test2": dl_manager.download_and_extract(
+                    f"{self.config.data_url}test2.jsonl"
+                )
+                         or "",
+            }
+
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    gen_kwargs={
+                        "data_file": dl_dir["train"],
+                        "split": datasets.Split.TRAIN,
+                    },
+                ),
+                datasets.SplitGenerator(
+                    name=datasets.Split.VALIDATION,
+                    gen_kwargs={
+                        "data_file": dl_dir["valid"],
+                        "split": datasets.Split.VALIDATION,
+                    },
+                ),
+                datasets.SplitGenerator(
+                    name=datasets.Split.TEST,
+                    gen_kwargs={
+                        "data_file": dl_dir["test"],
+                        "split": datasets.Split.TEST,
+                    },
+                ),
+                datasets.SplitGenerator(
+                    name="test2",
+                    gen_kwargs={
+                        "data_file": dl_dir["test2"],
+                        "split": "test2",
+                    },
+                ),
+            ]
         else:
             dl_dir = {
-                "train": dl_manager.download_and_extract(f"{self.config.data_url}train.jsonl") or "",
-                "valid": dl_manager.download_and_extract(f"{self.config.data_url}valid.jsonl") or "",
-                "test": dl_manager.download_and_extract(f"{self.config.data_url}test.jsonl") or "",
+                "train": dl_manager.download_and_extract(
+                    f"{self.config.data_url}train.jsonl"
+                )
+                         or "",
+                "valid": dl_manager.download_and_extract(
+                    f"{self.config.data_url}valid.jsonl"
+                )
+                         or "",
+                "test": dl_manager.download_and_extract(
+                    f"{self.config.data_url}test.jsonl"
+                )
+                        or "",
             }
 
             return [