change data pulling method as data script is no longer supported

.gitattributes

@@ -35,3 +35,4 @@ 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
+*.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,10 +1,126 @@
 ---
 license: cc-by-nc-4.0
+configs:
+- config_name: casename_classification
+  data_files:
+  - split: train
+    path: casename_classification/train.jsonl
+- config_name: casename_classification
+  data_files:
+  - split: valid
+    path: casename_classification/valid.jsonl
+- config_name: casename_classification
+  data_files:
+  - split: test
+    path: casename_classification/test.jsonl
+- config_name: casename_classification
+  data_files:
+  - split: test2
+    path: casename_classification/test2.jsonl
+- config_name: casename_classification
+  data_files:
+  - split: train
+    path: casename_classification_plus/train.jsonl
+- config_name: casename_classification_plus
+  data_files:
+  - split: valid
+    path: casename_classification_plus/valid.jsonl
+- config_name: casename_classification_plus
+  data_files:
+  - split: test
+    path: casename_classification_plus/test.jsonl
+- config_name: statute_classification
+  data_files:
+  - split: train
+    path: statute_classification/train.jsonl
+- config_name: statute_classification
+  data_files:
+  - split: valid
+    path: statute_classification/valid.jsonl
+- config_name: statute_classification
+  data_files:
+  - split: test
+    path: statute_classification/test.jsonl
+- config_name: statute_classification
+  data_files:
+  - split: test2
+    path: statute_classification/test2.jsonl
+- config_name: statute_classification_plus
+  data_files:
+  - split: train
+    path: statute_classification_plus/train.jsonl
+- config_name: statute_classification_plus
+  data_files:
+  - split: valid
+    path: statute_classification_plus/valid.jsonl
+- config_name: statute_classification_plus
+  data_files:
+  - split: test
+    path: statute_classification_plus/test.jsonl
+- config_name: summarization
+  data_files:
+  - split: train
+    path: summarization/train.jsonl
+- config_name: summarization
+  data_files:
+  - split: valid
+    path: summarization/valid.jsonl
+- config_name: summarization
+  data_files:
+  - split: test
+    path: summarization/test.jsonl
+- config_name: summarization_plus
+  data_files:
+  - split: train
+    path: summarization_plus/train.jsonl
+- config_name: summarization_plus
+  data_files:
+  - split: valid
+    path: summarization_plus/valid.jsonl
+- config_name: summarization_plus
+  data_files:
+  - split: test
+    path: summarization_plus/test.jsonl
+- config_name: ljp_civil
+  data_files:
+  - split: train
+    path: legal_judgement_prediction/civil/train.jsonl
+- config_name: ljp_civil
+  data_files:
+  - split: valid
+    path: legal_judgement_prediction/civil/valid.jsonl
+- config_name: ljp_civil
+  data_files:
+  - split: test
+    path: legal_judgement_prediction/civil/test.jsonl
+- config_name: ljp_civil
+  data_files:
+  - split: test2
+    path: legal_judgement_prediction/civil/test2.jsonl
+- config_name: ljp_criminal
+  data_files:
+  - split: train
+    path: legal_judgement_prediction/criminal/train.jsonl
+- config_name: ljp_criminal
+  data_files:
+  - split: valid
+    path: legal_judgement_prediction/criminal/valid.jsonl
+- config_name: ljp_criminal
+  data_files:
+  - split: test
+    path: legal_judgement_prediction/criminal/test.jsonl
+- config_name: ljp_criminal
+  data_files:
+  - split: test2
+    path: legal_judgement_prediction/criminal/test2.jsonl
+- config_name: precedent_corpus
+  data_files:
+  - split: train
+    path: precedent_corpus/train.jsonl
+
 ---
 # Dataset Card for `lbox_open`
-
 ## Dataset Description
-
 - **Homepage:** `https://lbox.kr`
 - **Repository:** `https://github.com/lbox-kr/lbox_open`
 - **Point of Contact:** [Wonseok Hwang](mailto:[email protected])
@@ -20,26 +136,20 @@ Korean
 ### How to use
 ```python
 from datasets import load_dataset
-
 # casename classficiation task
 data_cn = load_dataset("lbox/lbox_open", "casename_classification")
 data_cn_plus = load_dataset("lbox/lbox_open", "casename_classification_plus")
-
 # statutes classification task
 data_st = load_dataset("lbox/lbox_open", "statute_classification")
 data_st_plus = load_dataset("lbox/lbox_open", "statute_classification_plus")
-
 # Legal judgement prediction tasks
 data_ljp_criminal = load_dataset("lbox/lbox_open", "ljp_criminal")
 data_ljp_civil = load_dataset("lbox/lbox_open", "ljp_civil")
-
 # case summarization task
 data_summ = load_dataset("lbox/lbox_open", "summarization")
 data_summ_plus = load_dataset("lbox/lbox_open", "summarization_plus")
-
 # precedent corpus
 data_corpus = load_dataset("lbox/lbox_open", "precedent_corpus")
-
 ```
 
 For more information about the dataset, please visit <https://github.com/lbox-kr/lbox_open>.

casename_classification/test.jsonl

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+size 1827282

casename_classification/test2.jsonl

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+size 2153941

casename_classification/train.jsonl

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+size 14368414

casename_classification/valid.jsonl

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+oid sha256:03dcea621b3018589813088595964b7baedf1449097078ea0ad329321bd91a3f
+size 1794012

casename_classification_plus/test.jsonl

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+oid sha256:e32b6ccb48ba7b25eafd18b68c2cebb337c9fdb95693bf0d2e65cb727bbe04a1
+size 8826810

casename_classification_plus/train.jsonl

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+oid sha256:6a68057efa1fc18bbd3b4151f7db10820ccb69d4e7074ad3142262b1e9d294e2
+size 40519150

casename_classification_plus/valid.jsonl

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+oid sha256:b60c3348214e9979caf795bba174f21ac8cc79854ccc38ee126a293317b5cd2a
+size 7104812

lbox_open.py

@@ -1,321 +0,0 @@
-# LBox Open
-# Copyright (c) 2022-present LBox Co. Ltd.
-# CC BY-NC 4.0
-# 2022.10.18, Wonseok: Add casename_classification_plus, statute_classification_plus, summarization_plus datasets
-
-import json
-
-import datasets
-
-_CASENAME_CLASSIFICATION_FEATURES = {
-    "id": datasets.Value("int64"),
-    "casetype": datasets.Value("string"),
-    "casename": datasets.Value("string"),
-    "facts": datasets.Value("string"),
-}
-
-_STATUTE_CLASSIFICATION_FEATURES = {
-    "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_FEATURES = {
-    "id": datasets.Value("int64"),
-    "summary": datasets.Value("string"),
-    "precedent": datasets.Value("string"),
-}
-
-_PRECEDENT_CORPUS_FEATURES = {
-    "id": datasets.Value("int64"),
-    "precedent": datasets.Value("string"),
-}
-
-
-class LBoxOpenConfig(datasets.BuilderConfig):
-    """BuilderConfig for OpenLBox."""
-
-    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("0.2.0"), **kwargs
-        )
-        self.features = features
-        self.label_classes = label_classes
-        self.data_url = data_url
-        self.citation = citation
-        self.url = url
-
-
-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://cdn.lbox.kr/public/dataset/lbox-open/precedent_benchmark_dataset/casename_classification/v0.1.2/",
-            citation="",
-            url="lbox.kr",
-        ),
-        LBoxOpenConfig(
-            name="casename_classification_plus",
-            description="",
-            features=_CASENAME_CLASSIFICATION_FEATURES,
-            data_url="https://cdn.lbox.kr/public/dataset/lbox-open/precedent_benchmark_dataset/casename_classification/v0.1.2_plus/",
-            citation="",
-            url="lbox.kr",
-        ),
-        LBoxOpenConfig(
-            name="statute_classification",
-            description="",
-            features=_STATUTE_CLASSIFICATION_FEATURES,
-            data_url="https://cdn.lbox.kr/public/dataset/lbox-open/precedent_benchmark_dataset/statute_classification/v0.1.2/",
-            citation="",
-            url="lbox.kr",
-        ),
-        LBoxOpenConfig(
-            name="statute_classification_plus",
-            description="",
-            features=_STATUTE_CLASSIFICATION_FEATURES,
-            data_url="https://cdn.lbox.kr/public/dataset/lbox-open/precedent_benchmark_dataset/statute_classification/v0.1.2_plus/",
-            citation="",
-            url="lbox.kr",
-        ),
-        LBoxOpenConfig(
-            name="ljp_criminal",
-            description="",
-            features=_LJP_CRIMINAL,
-            data_url="https://cdn.lbox.kr/public/dataset/lbox-open/precedent_benchmark_dataset/judgement_prediction/v0.1.2/criminal/",
-            citation="",
-            url="lbox.kr",
-        ),
-        LBoxOpenConfig(
-            name="ljp_civil",
-            description="",
-            features=_LJP_CIVIL,
-            data_url="https://cdn.lbox.kr/public/dataset/lbox-open/precedent_benchmark_dataset/judgement_prediction/v0.1.2/civil/",
-            citation="",
-            url="lbox.kr",
-        ),
-        LBoxOpenConfig(
-            name="summarization",
-            description="",
-            features=_SUMMARIZATION_FEATURES,
-            data_url="https://cdn.lbox.kr/public/dataset/lbox-open/precedent_benchmark_dataset/summarization/v0.1.0/",
-            citation="",
-            url="lbox.kr",
-        ),
-        LBoxOpenConfig(
-            name="summarization_plus",
-            description="",
-            features=_SUMMARIZATION_FEATURES,
-            data_url="https://cdn.lbox.kr/public/dataset/lbox-open/precedent_benchmark_dataset/summarization/v0.1.0_plus/",
-            citation="",
-            url="lbox.kr",
-        ),
-        LBoxOpenConfig(
-            name="precedent_corpus",
-            description="",
-            features=_PRECEDENT_CORPUS_FEATURES,
-            data_url="https://cdn.lbox.kr/public/dataset/lbox-open/precedent_benchmark_dataset/case_corpus/v0.1.0/",
-            citation="",
-            url="lbox.kr",
-        ),
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description="",
-            features=datasets.Features(self.config.features),
-            homepage=self.config.url,
-            citation="",
-        )
-
-    def _split_generators(self, dl_manager):
-        if self.config.name == "precedent_corpus":
-            dl_dir = {
-                "train": dl_manager.download_and_extract(
-                    f"{self.config.data_url}case_corpus-150k.jsonl"
-                )
-                or "",
-            }
-
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    gen_kwargs={
-                        "data_file": dl_dir["train"],
-                        "split": datasets.Split.TRAIN,
-                    },
-                )
-            ]
-
-        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 "",
-            }
-
-            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,
-                    },
-                ),
-            ]
-
-    def _generate_examples(self, data_file, split):
-        with open(data_file, encoding="utf-8") as f:
-            for line in f:
-                row = json.loads(line)
-                yield row["id"], row

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summarization_plus/valid.jsonl

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