Update URL for datasets (#2)

- Update URL for datasets (ba6b53e6a05ff78ea83ccdda761a3a0f180e0b45)


Co-authored-by: Genta Indra Winata <gentaiscool@users.noreply.huggingface.co>

indonlu.py

@@ -38,7 +38,7 @@ and analyzing natural language understanding systems for Bahasa Indonesia.
 
 _INDONLU_HOMEPAGE = "https://www.indobenchmark.com/"
 
-_INDONLU_LICENSE = "https://raw.githubusercontent.com/indobenchmark/indonlu/master/LICENSE"
+_INDONLU_LICENSE = "https://raw.githubusercontent.com/IndoNLP/indonlu/master/LICENSE"
 
 
 class IndonluConfig(datasets.BuilderConfig):
@@ -93,12 +93,12 @@ class Indonlu(datasets.GeneratorBasedBuilder):
             different emotion labels: sadness, anger, love, fear, and happy."""
             ),
             text_features={"tweet": "tweet"},
-            # label classes sorted refer to https://github.com/indobenchmark/indonlu/blob/master/utils/data_utils.py
+            # label classes sorted refer to https://github.com/IndoNLP/indonlu/blob/master/utils/data_utils.py
             label_classes=["sadness", "anger", "love", "fear", "happy"],
             label_column="label",
-            train_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/emot_emotion-twitter/train_preprocess.csv",
-            valid_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/emot_emotion-twitter/valid_preprocess.csv",
-            test_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/emot_emotion-twitter/test_preprocess_masked_label.csv",
+            train_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/emot_emotion-twitter/train_preprocess.csv",
+            valid_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/emot_emotion-twitter/valid_preprocess.csv",
+            test_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/emot_emotion-twitter/test_preprocess.csv",
             citation=textwrap.dedent(
                 """\
             @inproceedings{saputri2018emotion,
@@ -122,12 +122,12 @@ class Indonlu(datasets.GeneratorBasedBuilder):
             dataset: positive, negative, and neutral."""
             ),
             text_features={"text": "text"},
-            # label classes sorted refer to https://github.com/indobenchmark/indonlu/blob/master/utils/data_utils.py
+            # label classes sorted refer to https://github.com/IndoNLP/indonlu/blob/master/utils/data_utils.py
             label_classes=["positive", "neutral", "negative"],
             label_column="label",
-            train_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/smsa_doc-sentiment-prosa/train_preprocess.tsv",
-            valid_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/smsa_doc-sentiment-prosa/valid_preprocess.tsv",
-            test_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/smsa_doc-sentiment-prosa/test_preprocess_masked_label.tsv",
+            train_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/smsa_doc-sentiment-prosa/train_preprocess.tsv",
+            valid_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/smsa_doc-sentiment-prosa/valid_preprocess.tsv",
+            test_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/smsa_doc-sentiment-prosa/test_preprocess.tsv",
             citation=textwrap.dedent(
                 """\
             @inproceedings{purwarianti2019improving,
@@ -151,12 +151,12 @@ class Indonlu(datasets.GeneratorBasedBuilder):
             negative, and neutral."""
             ),
             text_features={"sentence": "sentence"},
-            # label classes sorted refer to https://github.com/indobenchmark/indonlu/blob/master/utils/data_utils.py
+            # label classes sorted refer to https://github.com/IndoNLP/indonlu/blob/master/utils/data_utils.py
             label_classes=["negative", "neutral", "positive"],
             label_column=["fuel", "machine", "others", "part", "price", "service"],
-            train_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/casa_absa-prosa/train_preprocess.csv",
-            valid_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/casa_absa-prosa/valid_preprocess.csv",
-            test_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/casa_absa-prosa/test_preprocess_masked_label.csv",
+            train_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/casa_absa-prosa/train_preprocess.csv",
+            valid_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/casa_absa-prosa/valid_preprocess.csv",
+            test_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/casa_absa-prosa/test_preprocess.csv",
             citation=textwrap.dedent(
                 """\
             @inproceedings{ilmania2018aspect,
@@ -181,7 +181,7 @@ class Indonlu(datasets.GeneratorBasedBuilder):
             of the same aspect but for different objects (e.g., cleanliness of bed and toilet)."""
             ),
             text_features={"sentence": "sentence"},
-            # label classes sorted refer to https://github.com/indobenchmark/indonlu/blob/master/utils/data_utils.py
+            # label classes sorted refer to https://github.com/IndoNLP/indonlu/blob/master/utils/data_utils.py
             label_classes=["neg", "neut", "pos", "neg_pos"],
             label_column=[
                 "ac",
@@ -195,9 +195,9 @@ class Indonlu(datasets.GeneratorBasedBuilder):
                 "tv",
                 "wifi",
             ],
-            train_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/hoasa_absa-airy/train_preprocess.csv",
-            valid_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/hoasa_absa-airy/valid_preprocess.csv",
-            test_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/hoasa_absa-airy/test_preprocess_masked_label.csv",
+            train_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/hoasa_absa-airy/train_preprocess.csv",
+            valid_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/hoasa_absa-airy/valid_preprocess.csv",
+            test_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/hoasa_absa-airy/test_preprocess.csv",
             citation=textwrap.dedent(
                 """\
             @inproceedings{azhar2019multi,
@@ -223,12 +223,12 @@ class Indonlu(datasets.GeneratorBasedBuilder):
                 "hypothesis": "hypothesis",
                 "category": "category",
             },
-            # label classes sorted refer to https://github.com/indobenchmark/indonlu/blob/master/utils/data_utils.py
+            # label classes sorted refer to https://github.com/IndoNLP/indonlu/blob/master/utils/data_utils.py
             label_classes=["NotEntail", "Entail_or_Paraphrase"],
             label_column="label",
-            train_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/wrete_entailment-ui/train_preprocess.csv",
-            valid_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/wrete_entailment-ui/valid_preprocess.csv",
-            test_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/wrete_entailment-ui/test_preprocess_masked_label.csv",
+            train_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/wrete_entailment-ui/train_preprocess.csv",
+            valid_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/wrete_entailment-ui/valid_preprocess.csv",
+            test_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/wrete_entailment-ui/test_preprocess.csv",
             citation=textwrap.dedent(
                 """\
             @inproceedings{setya2018semi,
@@ -248,7 +248,7 @@ class Indonlu(datasets.GeneratorBasedBuilder):
             Indonesian Association of Computational Linguistics (INACL) POS Tagging Convention."""
             ),
             text_features={"tokens": "tokens"},
-            # label classes sorted refer to https://github.com/indobenchmark/indonlu/blob/master/utils/data_utils.py
+            # label classes sorted refer to https://github.com/IndoNLP/indonlu/blob/master/utils/data_utils.py
             label_classes=[
                 "B-PPO",
                 "B-KUA",
@@ -278,9 +278,9 @@ class Indonlu(datasets.GeneratorBasedBuilder):
                 "B-VBE",
             ],
             label_column="pos_tags",
-            train_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/posp_pos-prosa/train_preprocess.txt",
-            valid_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/posp_pos-prosa/valid_preprocess.txt",
-            test_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/posp_pos-prosa/test_preprocess_masked_label.txt",
+            train_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/posp_pos-prosa/train_preprocess.txt",
+            valid_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/posp_pos-prosa/valid_preprocess.txt",
+            test_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/posp_pos-prosa/test_preprocess.txt",
             citation=textwrap.dedent(
                 """\
             @inproceedings{hoesen2018investigating,
@@ -302,7 +302,7 @@ class Indonlu(datasets.GeneratorBasedBuilder):
             the experimental setting used by Kurniawan and Aji (2018)"""
             ),
             text_features={"tokens": "tokens"},
-            # label classes sorted refer to https://github.com/indobenchmark/indonlu/blob/master/utils/data_utils.py
+            # label classes sorted refer to https://github.com/IndoNLP/indonlu/blob/master/utils/data_utils.py
             label_classes=[
                 "B-PR",
                 "B-CD",
@@ -347,9 +347,9 @@ class Indonlu(datasets.GeneratorBasedBuilder):
                 "B-X",
             ],
             label_column="pos_tags",
-            train_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/bapos_pos-idn/train_preprocess.txt",
-            valid_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/bapos_pos-idn/valid_preprocess.txt",
-            test_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/bapos_pos-idn/test_preprocess_masked_label.txt",
+            train_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/bapos_pos-idn/train_preprocess.txt",
+            valid_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/bapos_pos-idn/valid_preprocess.txt",
+            test_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/bapos_pos-idn/test_preprocess.txt",
             citation=textwrap.dedent(
                 """\
             @inproceedings{dinakaramani2014designing,
@@ -380,12 +380,12 @@ class Indonlu(datasets.GeneratorBasedBuilder):
             Inside-Outside-Beginning (IOB) tagging representation with two kinds of tags, aspect and sentiment."""
             ),
             text_features={"tokens": "tokens"},
-            # label classes sorted refer to https://github.com/indobenchmark/indonlu/blob/master/utils/data_utils.py
+            # label classes sorted refer to https://github.com/IndoNLP/indonlu/blob/master/utils/data_utils.py
             label_classes=["I-SENTIMENT", "O", "I-ASPECT", "B-SENTIMENT", "B-ASPECT"],
             label_column="seq_label",
-            train_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/terma_term-extraction-airy/train_preprocess.txt",
-            valid_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/terma_term-extraction-airy/valid_preprocess.txt",
-            test_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/terma_term-extraction-airy/test_preprocess_masked_label.txt",
+            train_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/terma_term-extraction-airy/train_preprocess.txt",
+            valid_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/terma_term-extraction-airy/valid_preprocess.txt",
+            test_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/terma_term-extraction-airy/test_preprocess.txt",
             citation=textwrap.dedent(
                 """\
             @article{winatmoko2019aspect,
@@ -413,12 +413,12 @@ class Indonlu(datasets.GeneratorBasedBuilder):
             which represents the position of the keyphrase."""
             ),
             text_features={"tokens": "tokens"},
-            # label classes sorted refer to https://github.com/indobenchmark/indonlu/blob/master/utils/data_utils.py
+            # label classes sorted refer to https://github.com/IndoNLP/indonlu/blob/master/utils/data_utils.py
             label_classes=["O", "B", "I"],
             label_column="seq_label",
-            train_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/keps_keyword-extraction-prosa/train_preprocess.txt",
-            valid_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/keps_keyword-extraction-prosa/valid_preprocess.txt",
-            test_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/keps_keyword-extraction-prosa/test_preprocess_masked_label.txt",
+            train_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/keps_keyword-extraction-prosa/train_preprocess.txt",
+            valid_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/keps_keyword-extraction-prosa/valid_preprocess.txt",
+            test_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/keps_keyword-extraction-prosa/test_preprocess.txt",
             citation=textwrap.dedent(
                 """\
             @inproceedings{mahfuzh2019improving,
@@ -440,12 +440,12 @@ class Indonlu(datasets.GeneratorBasedBuilder):
             ORGANIZATION (name of organization)."""
             ),
             text_features={"tokens": "tokens"},
-            # label classes sorted refer to https://github.com/indobenchmark/indonlu/blob/master/utils/data_utils.py
+            # label classes sorted refer to https://github.com/IndoNLP/indonlu/blob/master/utils/data_utils.py
             label_classes=["I-PERSON", "B-ORGANISATION", "I-ORGANISATION", "B-PLACE", "I-PLACE", "O", "B-PERSON"],
             label_column="ner_tags",
-            train_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/nergrit_ner-grit/train_preprocess.txt",
-            valid_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/nergrit_ner-grit/valid_preprocess.txt",
-            test_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/nergrit_ner-grit/test_preprocess_masked_label.txt",
+            train_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/nergrit_ner-grit/train_preprocess.txt",
+            valid_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/nergrit_ner-grit/valid_preprocess.txt",
+            test_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/nergrit_ner-grit/test_preprocess.txt",
             citation=textwrap.dedent(
                 """\
             @online{nergrit2019,
@@ -465,7 +465,7 @@ class Indonlu(datasets.GeneratorBasedBuilder):
             EVT (name of the event), and FNB (name of food and beverage). The NERP dataset uses the IOB chunking format."""
             ),
             text_features={"tokens": "tokens"},
-            # label classes sorted refer to https://github.com/indobenchmark/indonlu/blob/master/utils/data_utils.py
+            # label classes sorted refer to https://github.com/IndoNLP/indonlu/blob/master/utils/data_utils.py
             label_classes=[
                 "I-PPL",
                 "B-EVT",
@@ -480,9 +480,9 @@ class Indonlu(datasets.GeneratorBasedBuilder):
                 "I-FNB",
             ],
             label_column="ner_tags",
-            train_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/nerp_ner-prosa/train_preprocess.txt",
-            valid_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/nerp_ner-prosa/valid_preprocess.txt",
-            test_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/nerp_ner-prosa/test_preprocess_masked_label.txt",
+            train_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/nerp_ner-prosa/train_preprocess.txt",
+            valid_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/nerp_ner-prosa/valid_preprocess.txt",
+            test_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/nerp_ner-prosa/test_preprocess.txt",
             citation=textwrap.dedent(
                 """\
             @inproceedings{hoesen2018investigating,
@@ -505,12 +505,12 @@ class Indonlu(datasets.GeneratorBasedBuilder):
             There are six categories of questions: date, location, name, organization, person, and quantitative."""
             ),
             text_features={"question": "question", "passage": "passage"},
-            # label classes sorted refer to https://github.com/indobenchmark/indonlu/blob/master/utils/data_utils.py
+            # label classes sorted refer to https://github.com/IndoNLP/indonlu/blob/master/utils/data_utils.py
             label_classes=["O", "B", "I"],
             label_column="seq_label",
-            train_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/facqa_qa-factoid-itb/train_preprocess.csv",
-            valid_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/facqa_qa-factoid-itb/valid_preprocess.csv",
-            test_url="https://raw.githubusercontent.com/indobenchmark/indonlu/master/dataset/facqa_qa-factoid-itb/test_preprocess_masked_label.csv",
+            train_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/facqa_qa-factoid-itb/train_preprocess.csv",
+            valid_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/facqa_qa-factoid-itb/valid_preprocess.csv",
+            test_url="https://raw.githubusercontent.com/IndoNLP/indonlu/master/dataset/facqa_qa-factoid-itb/test_preprocess.csv",
             citation=textwrap.dedent(
                 """\
             @inproceedings{purwarianti2007machine,