update

README.md

@@ -14,7 +14,10 @@ license: apache-2.0
 | :--- |    :---:      |   :---: |    :---:    |     :---:     |
 | amazon_reviews_multi | [Multilingual Amazon Reviews Corpus](https://github.com/awslabs/open-data-docs/tree/main/docs/amazon-reviews-ml); [2010.02573](https://arxiv.org/abs/2010.02573) | TRAIN: 1191160, VALID: 29665, TEST: 29685 | 我们提出了多语言亚马逊评论语料库 (MARC)，这是用于多语言文本分类的大规模亚马逊评论集合。 该语料库包含 2015 年至 2019 年间收集的英语、日语、德语、法语、西班牙语和中文评论。 | [amazon_reviews_multi](https://huggingface.co/datasets/amazon_reviews_multi) |
 | xnli | [XNLI](https://github.com/facebookresearch/XNLI); [D18-1269.pdf](https://aclanthology.org/D18-1269.pdf) | TRAIN: 7702055, VALID: 49750, TEST: 100129 | 我们希望我们的数据集 XNLI 能够通过提供信息丰富的标准评估任务来促进跨语言句子理解的研究。 | [xnli](https://huggingface.co/datasets/xnli) |
-| stsb_multi_mt | [SemEval-2017 Task 1](https://arxiv.org/abs/1708.00055) | 样本个数 | **使用时注意要打乱**。可用语言有：de、en、es、fr、it、nl、pl、pt、ru、zh | [stsb_multi_mt](https://huggingface.co/datasets/stsb_multi_mt) |
+| stsb_multi_mt | [SemEval-2017 Task 1](https://arxiv.org/abs/1708.00055) | TRAIN: 104117, VALID: 25943, TEST: 22457 | **使用时注意要打乱**。可用语言有：de、en、es、fr、it、nl、pl、pt、ru、zh | [stsb_multi_mt](https://huggingface.co/datasets/stsb_multi_mt) |
+| nbnn | [oai-nb-no-sbr-80](https://www.nb.no/sprakbanken/ressurskatalog/oai-nb-no-sbr-80/) | TRAIN: 1556212, VALID: 1957, TEST: 1944 | 该语料库包含挪威电报局 (NTB) 的新闻文本从博克马尔语翻译成新挪威语的内容。 | [NbAiLab/nbnn_language_detection](https://huggingface.co/datasets/NbAiLab/nbnn_language_detection) |
+| scandi_langid |  | TRAIN: 239618, TEST: 59840 |  | [kardosdrur/scandi-langid](https://huggingface.co/datasets/kardosdrur/scandi-langid) |
+| nordic_langid | [Discriminating Between Similar Nordic Languages](https://aclanthology.org/2021.vardial-1.8/) | TRAIN: 226159, TEST: 10700 | 重点关注六种北欧语言之间的区别：丹麦语、瑞典语、挪威语（尼诺斯克语）、挪威语（博克马尔语）、法罗语和冰岛语。 | [strombergnlp/nordic_langid](https://huggingface.co/datasets/strombergnlp/nordic_langid) |
 
 
 

data/nbnn.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:43179b610ba2ccc1d1993b816a729e2e89e6b189de7517616673de9079c3a638
+size 271343856

data/nordic_langid.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5108a3bdab7c7f5490794689d7c712e671f1d4803522217652ddd2a9e7528f47
+size 47863139

data/scandi_langid.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:12ce5fbcd39461933a27063d775057e37f8f8dc2f51b3cfc7883d5e55835a428
+size 54767792

examples/preprocess/preprocess_nbnn.py

@@ -0,0 +1,92 @@
+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+import argparse
+from collections import defaultdict
+import json
+import os
+import sys
+
+pwd = os.path.abspath(os.path.dirname(__file__))
+sys.path.append(os.path.join(pwd, "../../"))
+
+from datasets import load_dataset, DownloadMode
+from tqdm import tqdm
+
+from language_identification import LANGUAGE_MAP
+from project_settings import project_path
+
+
+def get_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--dataset_path", default="NbAiLab/nbnn_language_detection", type=str)
+    parser.add_argument(
+        "--dataset_cache_dir",
+        default=(project_path / "hub_datasets").as_posix(),
+        type=str
+    )
+    parser.add_argument(
+        "--output_file",
+        default=(project_path / "data/nbnn.jsonl"),
+        type=str
+    )
+
+    args = parser.parse_args()
+    return args
+
+
+def main():
+    args = get_args()
+
+    dataset_dict = load_dataset(
+        path=args.dataset_path,
+        cache_dir=args.dataset_cache_dir,
+        # download_mode=DownloadMode.FORCE_REDOWNLOAD
+    )
+    print(dataset_dict)
+
+    language_map = {
+        "nno": "nn",
+        "nob": "nb"
+    }
+
+    text_set = set()
+    counter = defaultdict(int)
+    with open(args.output_file, "w", encoding="utf-8") as f:
+        for k, v in dataset_dict.items():
+            if k not in("train", "dev", "test"):
+                continue
+            if k == "dev":
+                k = "validation"
+
+            for sample in tqdm(v):
+
+                text = sample["text"]
+                language = sample["language"]
+                language = language_map[language]
+
+                text = text.strip()
+
+                if text in text_set:
+                    continue
+                text_set.add(text)
+
+                if language not in LANGUAGE_MAP.keys():
+                    raise AssertionError(language)
+
+                row = {
+                    "text": text,
+                    "language": language,
+                    "data_source": "nbnn",
+                    "split": k
+                }
+                row = json.dumps(row, ensure_ascii=False)
+                f.write("{}\n".format(row))
+                counter[k] += 1
+
+    print("counter: {}".format(counter))
+
+    return
+
+
+if __name__ == '__main__':
+    main()

examples/preprocess/preprocess_nordic_langid.py

@@ -0,0 +1,85 @@
+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+import argparse
+from collections import defaultdict
+import json
+import os
+import sys
+
+pwd = os.path.abspath(os.path.dirname(__file__))
+sys.path.append(os.path.join(pwd, "../../"))
+
+from datasets import load_dataset, DownloadMode
+from tqdm import tqdm
+
+from language_identification import LANGUAGE_MAP
+from project_settings import project_path
+
+
+def get_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--dataset_path", default="strombergnlp/nordic_langid", type=str)
+    parser.add_argument(
+        "--dataset_cache_dir",
+        default=(project_path / "hub_datasets").as_posix(),
+        type=str
+    )
+    parser.add_argument(
+        "--output_file",
+        default=(project_path / "data/nordic_langid.jsonl"),
+        type=str
+    )
+
+    args = parser.parse_args()
+    return args
+
+
+def main():
+    args = get_args()
+
+    dataset_dict = load_dataset(
+        path=args.dataset_path,
+        name="50k",
+        cache_dir=args.dataset_cache_dir,
+        # download_mode=DownloadMode.FORCE_REDOWNLOAD
+    )
+    print(dataset_dict)
+
+    index_to_language = ["nb", "is", "nn", "sv", "fo", "da"]
+
+    text_set = set()
+    counter = defaultdict(int)
+    with open(args.output_file, "w", encoding="utf-8") as f:
+        for k, v in dataset_dict.items():
+            for sample in tqdm(v):
+
+                text = sample["sentence"]
+                language_index = sample["language"]
+                language = index_to_language[language_index]
+
+                text = text.strip()
+
+                if text in text_set:
+                    continue
+                text_set.add(text)
+
+                if language not in LANGUAGE_MAP.keys():
+                    raise AssertionError(language)
+
+                row = {
+                    "text": text,
+                    "language": language,
+                    "data_source": "nordic_langid",
+                    "split": k
+                }
+                row = json.dumps(row, ensure_ascii=False)
+                f.write("{}\n".format(row))
+                counter[k] += 1
+
+    print("counter: {}".format(counter))
+
+    return
+
+
+if __name__ == '__main__':
+    main()

examples/preprocess/preprocess_scandi_langid.py

@@ -0,0 +1,81 @@
+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+import argparse
+from collections import defaultdict
+import json
+import os
+import sys
+
+pwd = os.path.abspath(os.path.dirname(__file__))
+sys.path.append(os.path.join(pwd, "../../"))
+
+from datasets import load_dataset, DownloadMode
+from tqdm import tqdm
+
+from language_identification import LANGUAGE_MAP
+from project_settings import project_path
+
+
+def get_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--dataset_path", default="kardosdrur/scandi-langid", type=str)
+    parser.add_argument(
+        "--dataset_cache_dir",
+        default=(project_path / "hub_datasets").as_posix(),
+        type=str
+    )
+    parser.add_argument(
+        "--output_file",
+        default=(project_path / "data/scandi_langid.jsonl"),
+        type=str
+    )
+
+    args = parser.parse_args()
+    return args
+
+
+def main():
+    args = get_args()
+
+    dataset_dict = load_dataset(
+        path=args.dataset_path,
+        cache_dir=args.dataset_cache_dir,
+        # download_mode=DownloadMode.FORCE_REDOWNLOAD
+    )
+    print(dataset_dict)
+
+    text_set = set()
+    counter = defaultdict(int)
+    with open(args.output_file, "w", encoding="utf-8") as f:
+        for k, v in dataset_dict.items():
+            for sample in tqdm(v):
+
+                text = sample["text"]
+                language = sample["lang"]
+
+                text = text.strip()
+
+                if text in text_set:
+                    continue
+                text_set.add(text)
+
+                if language not in LANGUAGE_MAP.keys():
+                    raise AssertionError(language)
+
+                row = {
+                    "text": text,
+                    "language": language,
+                    "data_source": "scandi_langid",
+                    "split": k
+                }
+                row = json.dumps(row, ensure_ascii=False)
+                f.write("{}\n".format(row))
+                counter[k] += 1
+
+    print("counter: {}".format(counter))
+
+    return
+
+
+if __name__ == '__main__':
+    main()

language_identification.py

@@ -28,19 +28,28 @@ _CITATION = """\
 LANGUAGE_MAP = {
     "ar": "arabic",
     "bg": "bulgarian",
+    "da": "danish",
     "de": "german",
     "el": "modern greek",
     "en": "english",
     "es": "spanish",
+    "fo": "faroese",
     "fr": "french",
     "hi": "hindi",
+    "is": "icelandic",
     "it": "italian",
     "ja": "japanese",
     "nl": "dutch",
+    # "nno": "norwegian (nynorsk)",
+    "nn": "norwegian (nynorsk)",
+    "no": "norwegian",
+    # "nob": "norwegian (bokmål)",
+    "nb": "norwegian (bokmål)",
     "pl": "polish",
     "pt": "portuguese",
     "ru": "russian",
     "sw": "swahili",
+    "sv": "swedish",
     "th": "thai",
     "tr": "turkish",
     "ur": "urdu",
@@ -105,9 +114,13 @@ class LanguageIdentification(datasets.GeneratorBasedBuilder):
                 if sample["split"] != split:
                     continue
 
+                language = sample["language"]
+                if language not in LANGUAGE_MAP.keys():
+                    raise AssertionError(language)
+
                 yield idx, {
                     "text": sample["text"],
-                    "language": sample["language"],
+                    "language": language,
                     "data_source": sample["data_source"],
                 }
                 idx += 1