feat: add books with full volume of original text books; add clean, simplified chinese version, and filtered out bad lines datasets

bad_lines.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9ad12a043e47f615243291b666bf20c8425085902b42474160b9eb7512922e07
+size 1409160631

books.jsonl.gz

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4855e99ff5d1e0d037d7eefbc3426c1a3c4b1ce286fb56ef3d55366b590c205d
-size 834146732
+oid sha256:20ee447bde5d72ee8b40f7205ab100b6f2fd4ecf6ed6a5f40acc65f2901f30c4
+size 2300825625

books_in_simplified_chinese.jsonl.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e1e2e418592f05341625494d5b9ac2c8c96d283f306d1a766b1a77869358110d
+size 883810382

clean_books.jsonl.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d90fc8b8be2707620bae754bda193cb00ab3096738ddc4810e3e01dd025679b9
+size 883820675

dataset_infos.json

@@ -0,0 +1 @@
+{"clean": {"description": "shu is a chinese book dataset.\n", "citation": "", "homepage": "https://github.com/shjwudp/shu", "license": "", "features": {"name": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "shu", "config_name": "clean", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2058524432, "num_examples": 11710, "dataset_name": "shu"}}, "download_checksums": {"clean_books.jsonl.gz": {"num_bytes": 883820675, "checksum": "d90fc8b8be2707620bae754bda193cb00ab3096738ddc4810e3e01dd025679b9"}}, "download_size": 883820675, "post_processing_size": null, "dataset_size": 2058524432, "size_in_bytes": 2942345107}, "simplified clean": {"description": "shu is a chinese book dataset.\n", "citation": "", "homepage": "https://github.com/shjwudp/shu", "license": "", "features": {"name": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "shu", "config_name": "simplified clean", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2058621856, "num_examples": 11710, "dataset_name": "shu"}}, "download_checksums": {"books_in_simplified_chinese.jsonl.gz": {"num_bytes": 883810382, "checksum": "e1e2e418592f05341625494d5b9ac2c8c96d283f306d1a766b1a77869358110d"}}, "download_size": 883810382, "post_processing_size": null, "dataset_size": 2058621856, "size_in_bytes": 2942432238}, "original text": {"description": "shu is a chinese book dataset.\n", "citation": "", "homepage": "https://github.com/shjwudp/shu", "license": "", "features": {"name": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "shu", "config_name": "original text", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 5141361142, "num_examples": 15694, "dataset_name": "shu"}}, "download_checksums": {"books.jsonl.gz": {"num_bytes": 2300825625, "checksum": "20ee447bde5d72ee8b40f7205ab100b6f2fd4ecf6ed6a5f40acc65f2901f30c4"}}, "download_size": 2300825625, "post_processing_size": null, "dataset_size": 5141361142, "size_in_bytes": 7442186767}, "bad lines": {"description": "shu is a chinese book dataset.\n", "citation": "", "homepage": "https://github.com/shjwudp/shu", "license": "", "features": {"name": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "shu", "config_name": "bad lines", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2970314577, "num_examples": 15690, "dataset_name": "shu"}}, "download_checksums": {"bad_lines.jsonl.gz": {"num_bytes": 1409160631, "checksum": "9ad12a043e47f615243291b666bf20c8425085902b42474160b9eb7512922e07"}}, "download_size": 1409160631, "post_processing_size": null, "dataset_size": 2970314577, "size_in_bytes": 4379475208}}

shu.py

@@ -11,27 +11,40 @@ _DESCRIPTION = """\
 shu is a chinese book dataset.
 """
 
+_HOMEPAGE = "https://github.com/shjwudp/shu"
+
+_DATA_URLS = {
+    "clean": "clean_books.jsonl.gz",
+    "simplified clean": "books_in_simplified_chinese.jsonl.gz",
+    "original text": "books.jsonl.gz",
+    "bad lines": "bad_lines.jsonl.gz",
+}
+
+
 class ShuConfig(datasets.BuilderConfig):
     """BuilderConfig for shu."""
 
-    def __init__(self, **kwargs) -> None:
+    def __init__(self, *args, subsets, **kwargs) -> None:
         """BuilderConfig for shu.
         Args:
             **kwargs: keyword arguments forwarded to super.
         """
-        super(ShuConfig, self).__init__(**kwargs)
+        super(ShuConfig, self).__init__(
+            *args,
+            name="+".join(subsets),
+            **kwargs
+        )
+        self.subsets = subsets
 
 
 class Shu(datasets.GeneratorBasedBuilder):
     """shu: Chinese book dataset."""
 
-    BUILDER_CONFIGS = [
-        ShuConfig(
-            name="plain_text",
-            version=datasets.Version("0.1.0", ""),
-            description="Plain text",
-        )
-    ]
+    VERSION = datasets.Version("0.1.0")
+
+    BUILDER_CONFIG_CLASS = ShuConfig
+    BUILDER_CONFIGS = [ShuConfig(subsets=[subset]) for subset in _DATA_URLS]
+    DEFAULT_CONFIG_NAME = "simplified clean"
 
     def _info(self):
         return datasets.DatasetInfo(
@@ -40,21 +53,29 @@ class Shu(datasets.GeneratorBasedBuilder):
                 "name": datasets.Value("string"),
                 "text": datasets.Value("string"),
             }),
-            homepage="https://github.com/shjwudp/shu",
+            homepage=_HOMEPAGE,
         )
 
     def _split_generators(self, dl_manager):
-        train_text = dl_manager.download("books.jsonl.gz")
+        data_urls = {subset: _DATA_URLS[subset] for subset in self.config.subsets}
+        archive = dl_manager.download(data_urls)
 
         return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_text}),
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "files": {
+                        subset: data_urls[subset] for subset in self.config.subsets
+                    },
+                },
+            ),
         ]
 
-    def _generate_examples(self, filepath):
-        logger.info(f"generating examples from = {filepath}")
+    def _generate_examples(self, files):
         key = 0
-        print("filepath", filepath)
-        for line in gzip.open(filepath, "rt", encoding="utf-8"):
-            j = json.loads(line)
-            yield key, j
-            key += 1
+        for subset in files:
+            filepath = files[subset]
+            for line in gzip.open(filepath, "rt", encoding="utf-8"):
+                j = json.loads(line)
+                yield key, j
+                key += 1