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README.md

@@ -1,3 +1,10 @@
 ---
 license: cc-by-4.0
+language:
+- pl
 ---
+
+KGR10 corpora converted to jsonl format.
+
+Thanks for [clarin-knext](https://huggingface.co/clarin-knext) for kgr10 in [raw txt files](https://huggingface.co/datasets/clarin-knext/kgr10_pl).
+

kgr10-2-jsonl-converter.py

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+import os
+import json
+import random
+
+FILES = {
+  'CEN': './kgr10/CEN',
+  'openbooks': './kgr10/openbooks',
+  'open_science': './kgr10/open_science',
+  'wikisources-pl': './kgr10/wikisources-pl',
+  'sejm': './kgr10/sejm/',
+}
+
+
+def main():
+    idnum = 0
+    kgr10 = []
+    for sname, spath in FILES.items():
+        for fname in os.listdir(spath):
+            with open(os.path.join(spath, fname), 'rt') as fin:
+                content = fin.readlines()
+                content = "\n".join(content).strip()
+                kgr10.append(
+                    json.dumps(
+                        {
+                            'id': idnum,
+                            'corpora': sname.strip(),
+                            'filename': fname.strip(),
+                            'text': content
+                        }
+                    )
+                )
+            idnum += 1
+
+    random.shuffle(kgr10)
+
+    with open('./kgr10.jsonl', 'wt') as fout:
+        for kgr10_item in kgr10:
+            fout.write(kgr10_item + "\n")
+
+if __name__ == '__main__':
+    main()

kgr10.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:154efb69c7f621511d5028c32dc669a6f1497d60238d31e8955e9df4045a9a79
+size 158280477

kgr10.py

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+import json
+import csv
+import os
+import datasets
+
+logger = datasets.logging.get_logger(__name__)
+
+_DESCRIPTION = """
+This is the KGR10 corpora converted to jsonl format 
+"""
+_SPLITS = ["corpus"]
+
+_URLs = {
+    "corpus": "kgr10.jsonl.gz"
+}
+
+class KGR10(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="corpus", 
+            description=_DESCRIPTION
+        )
+    ]
+    
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+             features=datasets.Features({
+                "id": datasets.Value("string"), 
+                "corpora": datasets.Value("string"),
+                "filename": datasets.Value("string"),
+                "text": datasets.Value("string"),
+             }),
+            supervised_keys=None,
+        )
+
+    def _split_generators(self, dl_manager):
+        my_urls = _URLs[self.config.name]
+        data_dir = dl_manager.download_and_extract(my_urls)
+
+        return [
+            datasets.SplitGenerator(
+                name=self.config.name,
+                gen_kwargs={"filepath": data_dir},
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        with open(filepath, encoding="utf-8") as f:
+            texts = f.readlines()
+        
+        for i, text in enumerate(texts):
+            text = json.loads(text)
+            yield i, text