Update files from the datasets library (from 1.0.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.0.0

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
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dataset_infos.json

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Please see the source to see\nthe correct citation for each contained dataset.", "homepage": "http://ritual.uh.edu/lince", "license": "", "features": {"idx": {"dtype": "int32", "id": null, "_type": "Value"}, "tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "lid": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": {"features": null, "resources_checksums": {"train": {}, "validation": {}, "test": {}}}, "supervised_keys": null, "builder_name": "lince", "config_name": "lid_msaea", "version": {"version_str": "1.0.0", "description": "The Linguistic Code-switching Evaluation (LinCE) benchmark", "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3804156, "num_examples": 8464, "dataset_name": "lince"}, "validation": {"name": "validation", "num_bytes": 490566, "num_examples": 1116, "dataset_name": "lince"}, "test": {"name": "test", "num_bytes": 590488, "num_examples": 1663, "dataset_name": "lince"}}, "download_checksums": {"https://ritual.uh.edu/lince/libaccess/eyJ1c2VybmFtZSI6ICJodWdnaW5nZmFjZSBubHAiLCAidXNlcl9pZCI6IDExMSwgImVtYWlsIjogImR1bW15QGVtYWlsLmNvbSJ9/lid_msaea.zip": {"num_bytes": 803806, "checksum": "d082217628e702c53a63a2b3a6a7b764f2f9f2ed79d3598a48e3d327081e2913"}}, "download_size": 803806, "post_processing_size": 0, "dataset_size": 4885210, "size_in_bytes": 5689016}, "lid_nepeng": {"description": "LinCE is a centralized Linguistic Code-switching Evaluation benchmark \n(https://ritual.uh.edu/lince/) that contains data for training and evaluating\nNLP systems on code-switching tasks.\n", "citation": "\n@inproceedings{solorio-etal-2014-overview,\n   title = \"Overview for the First Shared Task on Language Identification in Code-Switched Data\",\n   author = \"Solorio, Thamar and\n             Blair, Elizabeth and\n             Maharjan, Suraj and\n             Bethard, Steven and\n             Diab, Mona and\n             Ghoneim, Mahmoud and\n             Hawwari, Abdelati and\n             AlGhamdi, Fahad and\n             Hirschberg, Julia and\n             Chang, Alison and\n             Fung, Pascale\",\n   booktitle = \"Proceedings of the First Workshop on Computational Approaches to Code Switching\",\n   month = oct,\n   year = \"2014\",\n   address = \"Doha, Qatar\",\n   publisher = \"Association for Computational Linguistics\",\n   url = \"https://www.aclweb.org/anthology/W14-3907\",\n   doi = \"10.3115/v1/W14-3907\",\n   pages = \"62--72\",\n}\n\n@inproceedings{aguilar-etal-2020-lince,\n    title = \"{L}in{CE}: A Centralized Benchmark for Linguistic Code-switching Evaluation\",\n    author = \"Aguilar, Gustavo  and\n      Kar, Sudipta  and\n      Solorio, Thamar\",\n    booktitle = \"Proceedings of The 12th Language Resources and Evaluation Conference\",\n    month = may,\n    year = \"2020\",\n    address = \"Marseille, France\",\n    publisher = \"European Language Resources Association\",\n    url = \"https://www.aclweb.org/anthology/2020.lrec-1.223\",\n    pages = \"1803--1813\",\n    language = \"English\",\n    ISBN = \"979-10-95546-34-4\",\n}\n\nNote that each LinCE dataset has its own citation. 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Please see the source to see\nthe correct citation for each contained dataset.", "homepage": "http://ritual.uh.edu/lince", "license": "", "features": {"idx": {"dtype": "int32", "id": null, "_type": "Value"}, "tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "lid": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": {"features": null, "resources_checksums": {"test": {}, "train": {}, "validation": {}}}, "supervised_keys": null, "builder_name": "lince", "config_name": "ner_spaeng", "version": {"version_str": "1.0.0", "description": "The Linguistic Code-switching Evaluation (LinCE) benchmark", "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 9836312, "num_examples": 33611, "dataset_name": "lince"}, "validation": {"name": "validation", "num_bytes": 2980990, "num_examples": 10085, "dataset_name": "lince"}, "test": {"name": "test", "num_bytes": 6530956, "num_examples": 23527, "dataset_name": "lince"}}, "download_checksums": {"https://ritual.uh.edu/lince/libaccess/eyJ1c2VybmFtZSI6ICJodWdnaW5nZmFjZSBubHAiLCAidXNlcl9pZCI6IDExMSwgImVtYWlsIjogImR1bW15QGVtYWlsLmNvbSJ9/ner_spaeng.zip": {"num_bytes": 3075520, "checksum": "9ad57558575e156efc12cacf72f46f58ff4f1651808f55afe279495317fca461"}}, "download_size": 3075520, "post_processing_size": 0, "dataset_size": 19348258, "size_in_bytes": 22423778}, "ner_msaea": {"description": "LinCE is a centralized Linguistic Code-switching Evaluation benchmark \n(https://ritual.uh.edu/lince/) that contains data for training and evaluating\nNLP systems on code-switching tasks.\n", "citation": "\n@inproceedings{aguilar-etal-2018-named,\n   title = {{Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task}},\n   author = \"Aguilar, Gustavo and\n             AlGhamdi, Fahad and\n             Soto, Victor and\n             Diab, Mona and\n             Hirschberg, Julia and\n             Solorio, Thamar\",\n   booktitle = {{Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching}},\n   month = jul,\n   year = \"2018\",\n   address = \"Melbourne, Australia\",\n   publisher = \"Association for Computational Linguistics\",\n   url = \"https://www.aclweb.org/anthology/W18-3219\",\n   pages = \"138--147\"\n}  \n\n@inproceedings{aguilar-etal-2020-lince,\n    title = \"{L}in{CE}: A Centralized Benchmark for Linguistic Code-switching Evaluation\",\n    author = \"Aguilar, Gustavo  and\n      Kar, Sudipta  and\n      Solorio, Thamar\",\n    booktitle = \"Proceedings of The 12th Language Resources and Evaluation Conference\",\n    month = may,\n    year = \"2020\",\n    address = \"Marseille, France\",\n    publisher = \"European Language Resources Association\",\n    url = \"https://www.aclweb.org/anthology/2020.lrec-1.223\",\n    pages = \"1803--1813\",\n    language = \"English\",\n    ISBN = \"979-10-95546-34-4\",\n}\n\nNote that each LinCE dataset has its own citation. 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lince.py

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+"""TODO(lince): Add a description here."""
+
+from __future__ import absolute_import, division, print_function
+
+import csv
+import os
+import re
+import textwrap
+from itertools import groupby
+
+import six
+
+import datasets
+
+
+_CITATION = """\
+@inproceedings{aguilar-etal-2020-lince,
+    title = "{L}in{CE}: A Centralized Benchmark for Linguistic Code-switching Evaluation",
+    author = "Aguilar, Gustavo  and
+      Kar, Sudipta  and
+      Solorio, Thamar",
+    booktitle = "Proceedings of The 12th Language Resources and Evaluation Conference",
+    month = may,
+    year = "2020",
+    address = "Marseille, France",
+    publisher = "European Language Resources Association",
+    url = "https://www.aclweb.org/anthology/2020.lrec-1.223",
+    pages = "1803--1813",
+    language = "English",
+    ISBN = "979-10-95546-34-4",
+}
+
+Note that each LinCE dataset has its own citation. Please see the source to see
+the correct citation for each contained dataset."""
+
+_DESCRIPTION = """\
+LinCE is a centralized Linguistic Code-switching Evaluation benchmark
+(https://ritual.uh.edu/lince/) that contains data for training and evaluating
+NLP systems on code-switching tasks.
+"""
+
+_LINCE_URL = "https://ritual.uh.edu/lince/libaccess/eyJ1c2VybmFtZSI6ICJodWdnaW5nZmFjZSBubHAiLCAidXNlcl9pZCI6IDExMSwgImVtYWlsIjogImR1bW15QGVtYWlsLmNvbSJ9"
+
+_DATASET_CITATIONS = {
+    "lid_spaeng": textwrap.dedent(
+        """
+        @inproceedings{molina-etal-2016-overview,
+           title = "Overview for the Second Shared Task on Language Identification in Code-Switched Data",
+           author = "Molina, Giovanni and
+                     AlGhamdi, Fahad and
+                     Ghoneim, Mahmoud and
+                     Hawwari, Abdelati and
+                     Rey-Villamizar, Nicolas and
+                     Diab, Mona and
+                     Solorio, Thamar",
+           booktitle = "Proceedings of the Second Workshop on Computational Approaches to Code Switching",
+           month = nov,
+           year = "2016",
+           address = "Austin, Texas",
+           publisher = "Association for Computational Linguistics",
+           url = "https://www.aclweb.org/anthology/W16-5805",
+           doi = "10.18653/v1/W16-5805",
+           pages = "40--49",
+        }
+        """
+    ),
+    "lid_hineng": textwrap.dedent(
+        """
+        @inproceedings{mave-etal-2018-language,
+           title = "Language Identification and Analysis of Code-Switched Social Media Text",
+           author = "Mave, Deepthi and
+                     Maharjan, Suraj and
+                     Solorio, Thamar",
+           booktitle = "Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching",
+           month = jul,
+           year = "2018",
+           address = "Melbourne, Australia",
+           publisher = "Association for Computational Linguistics",
+           url = "https://www.aclweb.org/anthology/W18-3206",
+           pages = "51--61"
+        }
+        """
+    ),
+    "lid_msaea": textwrap.dedent(
+        """
+        @inproceedings{molina-etal-2016-overview,
+           title = "Overview for the Second Shared Task on Language Identification in Code-Switched Data",
+           author = "Molina, Giovanni and
+                     AlGhamdi, Fahad and
+                     Ghoneim, Mahmoud and
+                     Hawwari, Abdelati and
+                     Rey-Villamizar, Nicolas and
+                     Diab, Mona and
+                     Solorio, Thamar",
+           booktitle = "Proceedings of the Second Workshop on Computational Approaches to Code Switching",
+           month = nov,
+           year = "2016",
+           address = "Austin, Texas",
+           publisher = "Association for Computational Linguistics",
+           url = "https://www.aclweb.org/anthology/W16-5805",
+           doi = "10.18653/v1/W16-5805",
+           pages = "40--49",
+        }
+        """
+    ),
+    "lid_nepeng": textwrap.dedent(
+        """
+        @inproceedings{solorio-etal-2014-overview,
+           title = "Overview for the First Shared Task on Language Identification in Code-Switched Data",
+           author = "Solorio, Thamar and
+                     Blair, Elizabeth and
+                     Maharjan, Suraj and
+                     Bethard, Steven and
+                     Diab, Mona and
+                     Ghoneim, Mahmoud and
+                     Hawwari, Abdelati and
+                     AlGhamdi, Fahad and
+                     Hirschberg, Julia and
+                     Chang, Alison and
+                     Fung, Pascale",
+           booktitle = "Proceedings of the First Workshop on Computational Approaches to Code Switching",
+           month = oct,
+           year = "2014",
+           address = "Doha, Qatar",
+           publisher = "Association for Computational Linguistics",
+           url = "https://www.aclweb.org/anthology/W14-3907",
+           doi = "10.3115/v1/W14-3907",
+           pages = "62--72",
+        }
+        """
+    ),
+    "pos_spaeng": textwrap.dedent(
+        """
+        @inproceedings{alghamdi-etal-2016-part,
+           title = "Part of Speech Tagging for Code Switched Data",
+           author = "AlGhamdi, Fahad and
+                     Molina, Giovanni and
+                     Diab, Mona and
+                     Solorio, Thamar and
+                     Hawwari, Abdelati and
+                     Soto, Victor and
+                     Hirschberg, Julia",
+           booktitle = "Proceedings of the Second Workshop on Computational Approaches to Code Switching",
+           month = nov,
+           year = "2016",
+           address = "Austin, Texas",
+           publisher = "Association for Computational Linguistics",
+           url = "https://www.aclweb.org/anthology/W16-5812",
+           doi = "10.18653/v1/W16-5812",
+           pages = "98--107",
+        }
+        """
+    ),
+    "pos_hineng": textwrap.dedent(
+        """
+        @inproceedings{singh-etal-2018-twitter,
+           title = "A Twitter Corpus for {H}indi-{E}nglish Code Mixed {POS} Tagging",
+           author = "Singh, Kushagra and
+                     Sen, Indira and
+                     Kumaraguru, Ponnurangam",
+           booktitle = "Proceedings of the Sixth International Workshop on Natural Language Processing for Social Media",
+           month = jul,
+           year = "2018",
+           address = "Melbourne, Australia",
+           publisher = "Association for Computational Linguistics",
+           url = "https://www.aclweb.org/anthology/W18-3503",
+           doi = "10.18653/v1/W18-3503",
+           pages = "12--17"
+        }
+        """
+    ),
+    "ner_spaeng": textwrap.dedent(
+        """
+        @inproceedings{aguilar-etal-2018-named,
+           title = {{Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task}},
+           author = "Aguilar, Gustavo and
+                     AlGhamdi, Fahad and
+                     Soto, Victor and
+                     Diab, Mona and
+                     Hirschberg, Julia and
+                     Solorio, Thamar",
+           booktitle = {{Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching}},
+           month = jul,
+           year = "2018",
+           address = "Melbourne, Australia",
+           publisher = "Association for Computational Linguistics",
+           url = "https://www.aclweb.org/anthology/W18-3219",
+           pages = "138--147"
+        }
+        """
+    ),
+    "ner_msaea": textwrap.dedent(
+        """
+        @inproceedings{aguilar-etal-2018-named,
+           title = {{Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task}},
+           author = "Aguilar, Gustavo and
+                     AlGhamdi, Fahad and
+                     Soto, Victor and
+                     Diab, Mona and
+                     Hirschberg, Julia and
+                     Solorio, Thamar",
+           booktitle = {{Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching}},
+           month = jul,
+           year = "2018",
+           address = "Melbourne, Australia",
+           publisher = "Association for Computational Linguistics",
+           url = "https://www.aclweb.org/anthology/W18-3219",
+           pages = "138--147"
+        }
+        """
+    ),
+    "ner_hineng": textwrap.dedent(
+        """
+        @inproceedings{singh-etal-2018-language,
+           title = "Language Identification and Named Entity Recognition in {H}inglish Code Mixed Tweets",
+           author = "Singh, Kushagra and
+                     Sen, Indira and
+                     Kumaraguru, Ponnurangam",
+           booktitle = "Proceedings of {ACL} 2018, Student Research Workshop",
+           month = jul,
+           year = "2018",
+           address = "Melbourne, Australia",
+           publisher = "Association for Computational Linguistics",
+           url = "https://www.aclweb.org/anthology/P18-3008",
+           doi = "10.18653/v1/P18-3008",
+           pages = "52--58",
+        }
+        """
+    ),
+    "sa_spaeng": textwrap.dedent(
+        """
+        @inproceedings{patwa2020sentimix,
+          title={SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets},
+          author="Patwa, Parth and
+                  Aguilar, Gustavo and
+                  Kar, Sudipta and
+                  Pandey, Suraj and
+                  PYKL, Srinivas and
+                  Garrette, Dan and
+                  Gamb{\"a}ck, Bj{\"o}rn and
+                  Chakraborty, Tanmoy and
+                  Solorio, Thamar and
+                  Das, Amitava",
+          booktitle = "Proceedings of the 14th International Workshop on Semantic Evaluation ({S}em{E}val-2020)",
+          year = 2020,
+          month = sep,
+          address = "Barcelona, Spain",
+          publisher = "Association for Computational Linguistics"
+        }
+        """
+    ),
+}
+
+
+class LinceConfig(datasets.BuilderConfig):
+    """BuilderConfig for LinCE"""
+
+    def __init__(self, colnames, classes, label_column, **kwargs):
+        super(LinceConfig, self).__init__(
+            version=datasets.Version(
+                "1.0.0", description="The Linguistic Code-switching Evaluation (LinCE) benchmark"
+            ),
+            **kwargs,
+        )
+        self.colnames = colnames
+        self.classes = classes
+        self.label_column = label_column
+
+
+class Lince(datasets.GeneratorBasedBuilder):
+    """TODO(lince): Short description of the LinCE dataset."""
+
+    BUILDER_CONFIG_CLASS = LinceConfig
+    BUILDER_CONFIGS = [
+        # ==========================================================================================
+        # Language Identification (LID) datasets
+        LinceConfig(
+            name="lid_spaeng",
+            data_dir="lid_spaeng",
+            colnames={"tokens": 0, "lid": 1},
+            classes={"lid": ["lang1", "lang2", "ne", "fw", "ambiguous", "mixed", "other", "unk"]},
+            label_column="lid",
+            description="Spanish-English language identification dataset (Latin script)",
+        ),
+        LinceConfig(
+            name="lid_hineng",
+            data_dir="lid_hineng",
+            colnames={"tokens": 0, "lid": 1},
+            classes={"lid": ["lang1", "lang2", "ne", "fw", "ambiguous", "mixed", "other", "unk"]},
+            label_column="lid",
+            description="Hindi-English language identification dataset (Latin script)",
+        ),
+        LinceConfig(
+            name="lid_msaea",
+            data_dir="lid_msaea",
+            colnames={"tokens": 0, "lid": 1},
+            classes={
+                "lid": ["ambiguous", "lang1", "lang2", "mixed", "ne", "other"],
+            },
+            label_column="lid",
+            description="Modern Standard Arabic-Egyptian Arabic language identification dataset (Persian script)",
+        ),
+        LinceConfig(
+            name="lid_nepeng",
+            data_dir="lid_nepeng",
+            colnames={"tokens": 0, "lid": 1},
+            classes={
+                "lid": ["ambiguous", "lang1", "lang2", "mixed", "ne", "other"],
+            },
+            label_column="lid",
+            description="Nepali-English language identification dataset (Latin script)",
+        ),
+        # ==========================================================================================
+        # Part-of-Speech (POS) Tagging datasets
+        LinceConfig(
+            name="pos_spaeng",
+            data_dir="pos_spaeng",
+            colnames={"tokens": 0, "lid": 1, "pos": 2},
+            classes={
+                "lid": ["UNK", "eng", "eng&spa", "spa"],
+                "pos": [
+                    "ADJ",
+                    "ADP",
+                    "ADV",
+                    "AUX",
+                    "CONJ",
+                    "DET",
+                    "INTJ",
+                    "NOUN",
+                    "NUM",
+                    "PART",
+                    "PRON",
+                    "PROPN",
+                    "PUNCT",
+                    "SCONJ",
+                    "UNK",
+                    "VERB",
+                    "X",
+                ],
+            },
+            label_column="pos",
+            description="Spanish-English part-of-Speech tagging dataset (Latin script)",
+        ),
+        LinceConfig(
+            name="pos_hineng",
+            data_dir="pos_hineng",
+            colnames={"tokens": 0, "lid": 1, "pos": 2},
+            classes={
+                "lid": ["en", "hi", "rest"],
+                "pos": [
+                    "ADJ",
+                    "ADP",
+                    "ADV",
+                    "CONJ",
+                    "DET",
+                    "NOUN",
+                    "NUM",
+                    "PART",
+                    "PART_NEG",
+                    "PRON",
+                    "PRON_WH",
+                    "PROPN",
+                    "VERB",
+                    "X",
+                ],
+            },
+            label_column="pos",
+            description="Hindi-English part-of-Speech tagging dataset (Latin script)",
+        ),
+        # ==========================================================================================
+        # Named Entity Recongition (NER) datasets
+        LinceConfig(
+            name="ner_spaeng",
+            data_dir="ner_spaeng",
+            colnames={"tokens": 0, "lid": 1, "ner": 2},
+            classes={
+                "lid": ["lang1", "lang2", "ne", "fw", "ambiguous", "mixed", "other", "unk"],
+                "ner": [
+                    "O",
+                    "B-PER",
+                    "I-PER",
+                    "B-LOC",
+                    "I-LOC",
+                    "B-ORG",
+                    "I-ORG",
+                    "B-PROD",
+                    "I-PROD",
+                    "B-EVENT",
+                    "I-EVENT",
+                    "B-GROUP",
+                    "I-GROUP",
+                    "B-TITLE",
+                    "I-TITLE",
+                    "B-TIME",
+                    "I-TIME",
+                    "B-OTHER",
+                    "I-OTHER",
+                ],
+            },
+            label_column="ner",
+            description="Spanish-English named entity recognition dataset (Latin script)",
+        ),
+        LinceConfig(
+            name="ner_msaea",
+            data_dir="ner_msaea",
+            colnames={"tokens": 0, "ner": 1},
+            classes={
+                "ner": [
+                    "O",
+                    "B-PER",
+                    "I-PER",
+                    "B-LOC",
+                    "I-LOC",
+                    "B-ORG",
+                    "I-ORG",
+                    "B-PROD",
+                    "I-PROD",
+                    "B-EVENT",
+                    "I-EVENT",
+                    "B-GROUP",
+                    "I-GROUP",
+                    "B-TITLE",
+                    "I-TITLE",
+                    "B-TIME",
+                    "I-TIME",
+                    "B-OTHER",
+                    "I-OTHER",
+                ],
+            },
+            label_column="ner",
+            description="Modern Standard Arabic-Egyptian Arabic named entity recognition dataset (Persian script)",
+        ),
+        LinceConfig(
+            name="ner_hineng",
+            data_dir="ner_hineng",
+            colnames={"tokens": 0, "lid": 1, "ner": 2},
+            classes={
+                "lid": ["en", "hi", "rest"],
+                "ner": ["O", "B-PERSON", "I-PERSON", "B-ORGANISATION", "I-ORGANISATION", "B-PLACE", "I-PLACE"],
+            },
+            label_column="ner",
+            description="Hindi-English named entity recognition dataset (Latin script)",
+        ),
+        # ==========================================================================================
+        # Sentiment Analysis (SA) datasets
+        LinceConfig(
+            name="sa_spaeng",
+            data_dir="sa_spaeng",
+            colnames={"tokens": 0, "lid": 1, "sa": 2},
+            classes={
+                "lid": ["lang1", "lang2", "ne", "fw", "ambiguous", "mixed", "other", "unk"],
+                "sa": ["positive", "neutral", "negative"],
+            },
+            label_column="sa",
+            description="Spanish-English sentiment analysis dataset (Latin script)",
+        ),
+    ]
+
+    def _info(self):
+        features = {"idx": datasets.Value("int32"), "tokens": datasets.Sequence(datasets.Value("string"))}
+
+        if self.config.name != "ner_msaea":
+            features["lid"] = datasets.Sequence(
+                datasets.Value("string")
+            )  # excluding 'ner_msaea', all datasets have 'lid'
+
+        if self.config.name.startswith("pos_"):
+            features["pos"] = datasets.Sequence(datasets.Value("string"))
+
+        elif self.config.name.startswith("ner_"):
+            features["ner"] = datasets.Sequence(datasets.Value("string"))
+
+        elif self.config.name.startswith("sa_"):
+            features["sa"] = datasets.Value("string")
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(features),
+            supervised_keys=None,
+            homepage="http://ritual.uh.edu/lince",
+            citation=_DATASET_CITATIONS.get(self.config.name, "") + "\n" + _CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        lince_dir = dl_manager.download_and_extract(f"{_LINCE_URL}/{self.config.name}.zip")
+        data_dir = os.path.join(lince_dir, self.config.data_dir)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "train.conll"),
+                    "colnames": self.config.colnames,
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "dev.conll"),
+                    "colnames": self.config.colnames,
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "test.conll"),
+                    "colnames": {
+                        key: self.config.colnames[key]
+                        for key in six.iterkeys(self.config.colnames)
+                        if key != self.config.label_column
+                    },
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath, colnames, delimiter="\t", metaregex=r"^# sent_enum = [0-9]+$"):
+        def is_empty_line(token_pack):
+            return all(field.strip() == "" for field in token_pack)
+
+        index = 0
+        for is_empty, pack in groupby(
+            csv.reader(open(filepath), delimiter=delimiter, quoting=csv.QUOTE_NONE), is_empty_line
+        ):
+            if is_empty is False:
+                # packed sentence -> [['tok_1', 'lid_1', 'ner_1'], ..., ['tok_n', 'lid_n', 'ner_n']]
+                pack = list(pack)
+                meta = []
+
+                if re.match(metaregex, pack[0][0]):  # for sentence-level annotations (or meta)
+                    meta = pack[0][1:]  # keep the sentence-level labels
+                    pack = pack[1:]  # ignore meta fields to unzip
+
+                unpacked = list(zip(*pack))
+                if meta:
+                    unpacked = unpacked + meta
+
+                row = {feature: unpacked[colnames[feature]] for feature in colnames}
+                row["idx"] = index
+                index += 1
+
+                # dummy labels for the test set
+                if self.config.label_column not in row:
+                    if self.config.label_column == "sa":
+                        row[self.config.label_column] = ""
+                    else:
+                        row[self.config.label_column] = [""] * len(row["tokens"])
+
+                yield index, row