Convert dataset to Parquet (#10)

- Convert dataset to Parquet (92e25502d870bbc7ef7f9d302dcd635f6094ea47)
- Add alt-en data files (5be2bf665121afa8ba6276ad034257462c783426)
- Add alt-jp data files (d8b7fa35383560dc370eeb03ff774b78d4fa5d94)
- Add alt-my data files (6bdb191680f49af79aa5f8e3852cf499d716ca34)
- Add alt-km data files (4faee69984de554cc9b3dd6b3705435322616e8e)
- Add alt-my-transliteration data files (0fdd47d0498106bc00f47a9862d885ccb8e773ac)
- Add alt-my-west-transliteration data files (2a430039f5efb3d35cf8abd1918a29e81e05e124)
- Delete loading script (1764907d4ea2abe81ea8cecee2f606db5726cb0d)
- Delete legacy dataset_infos.json (f63a918328e6d245b6f2d3502f84fdcf39ee1d4d)

README.md

@@ -34,45 +34,15 @@ task_ids:
 - parsing
 paperswithcode_id: alt
 pretty_name: Asian Language Treebank
+config_names:
+- alt-en
+- alt-jp
+- alt-km
+- alt-my
+- alt-my-transliteration
+- alt-my-west-transliteration
+- alt-parallel
 dataset_info:
-- config_name: alt-parallel
-  features:
-  - name: SNT.URLID
-    dtype: string
-  - name: SNT.URLID.SNTID
-    dtype: string
-  - name: url
-    dtype: string
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - bg
-        - en
-        - en_tok
-        - fil
-        - hi
-        - id
-        - ja
-        - khm
-        - lo
-        - ms
-        - my
-        - th
-        - vi
-        - zh
-  splits:
-  - name: train
-    num_bytes: 68445916
-    num_examples: 18088
-  - name: validation
-    num_bytes: 3710979
-    num_examples: 1000
-  - name: test
-    num_bytes: 3814431
-    num_examples: 1019
-  download_size: 21285784
-  dataset_size: 75971326
 - config_name: alt-en
   features:
   - name: SNT.URLID
@@ -95,7 +65,7 @@ dataset_info:
   - name: test
     num_bytes: 567272
     num_examples: 1017
-  download_size: 3871379
+  download_size: 3781814
   dataset_size: 11187560
 - config_name: alt-jp
   features:
@@ -125,9 +95,9 @@ dataset_info:
   - name: test
     num_bytes: 1175592
     num_examples: 931
-  download_size: 13191239
+  download_size: 10355366
   dataset_size: 24245424
-- config_name: alt-my
+- config_name: alt-km
   features:
   - name: SNT.URLID
     dtype: string
@@ -135,21 +105,23 @@ dataset_info:
     dtype: string
   - name: url
     dtype: string
-  - name: value
+  - name: km_pos_tag
+    dtype: string
+  - name: km_tokenized
     dtype: string
   splits:
   - name: train
-    num_bytes: 20433275
+    num_bytes: 12015371
     num_examples: 18088
   - name: validation
-    num_bytes: 1111410
+    num_bytes: 655212
     num_examples: 1000
   - name: test
-    num_bytes: 1135209
+    num_bytes: 673733
     num_examples: 1018
-  download_size: 3028302
-  dataset_size: 22679894
-- config_name: alt-km
+  download_size: 4344096
+  dataset_size: 13344316
+- config_name: alt-my
   features:
   - name: SNT.URLID
     dtype: string
@@ -157,22 +129,20 @@ dataset_info:
     dtype: string
   - name: url
     dtype: string
-  - name: km_pos_tag
-    dtype: string
-  - name: km_tokenized
+  - name: value
     dtype: string
   splits:
   - name: train
-    num_bytes: 12015411
+    num_bytes: 20433243
     num_examples: 18088
   - name: validation
-    num_bytes: 655232
+    num_bytes: 1111394
     num_examples: 1000
   - name: test
-    num_bytes: 673753
+    num_bytes: 1135193
     num_examples: 1018
-  download_size: 2410832
-  dataset_size: 13344396
+  download_size: 6569025
+  dataset_size: 22679830
 - config_name: alt-my-transliteration
   features:
   - name: en
@@ -181,10 +151,10 @@ dataset_info:
     sequence: string
   splits:
   - name: train
-    num_bytes: 4249424
+    num_bytes: 4249316
     num_examples: 84022
-  download_size: 1232127
-  dataset_size: 4249424
+  download_size: 2163951
+  dataset_size: 4249316
 - config_name: alt-my-west-transliteration
   features:
   - name: en
@@ -193,18 +163,98 @@ dataset_info:
     sequence: string
   splits:
   - name: train
-    num_bytes: 7412043
+    num_bytes: 7411911
     num_examples: 107121
-  download_size: 2830071
-  dataset_size: 7412043
-config_names:
-- alt-en
-- alt-jp
-- alt-km
-- alt-my
-- alt-my-transliteration
-- alt-my-west-transliteration
-- alt-parallel
+  download_size: 2857511
+  dataset_size: 7411911
+- config_name: alt-parallel
+  features:
+  - name: SNT.URLID
+    dtype: string
+  - name: SNT.URLID.SNTID
+    dtype: string
+  - name: url
+    dtype: string
+  - name: translation
+    dtype:
+      translation:
+        languages:
+        - bg
+        - en
+        - en_tok
+        - fil
+        - hi
+        - id
+        - ja
+        - khm
+        - lo
+        - ms
+        - my
+        - th
+        - vi
+        - zh
+  splits:
+  - name: train
+    num_bytes: 68445916
+    num_examples: 18088
+  - name: validation
+    num_bytes: 3710979
+    num_examples: 1000
+  - name: test
+    num_bytes: 3814431
+    num_examples: 1019
+  download_size: 34707907
+  dataset_size: 75971326
+configs:
+- config_name: alt-en
+  data_files:
+  - split: train
+    path: alt-en/train-*
+  - split: validation
+    path: alt-en/validation-*
+  - split: test
+    path: alt-en/test-*
+- config_name: alt-jp
+  data_files:
+  - split: train
+    path: alt-jp/train-*
+  - split: validation
+    path: alt-jp/validation-*
+  - split: test
+    path: alt-jp/test-*
+- config_name: alt-km
+  data_files:
+  - split: train
+    path: alt-km/train-*
+  - split: validation
+    path: alt-km/validation-*
+  - split: test
+    path: alt-km/test-*
+- config_name: alt-my
+  data_files:
+  - split: train
+    path: alt-my/train-*
+  - split: validation
+    path: alt-my/validation-*
+  - split: test
+    path: alt-my/test-*
+- config_name: alt-my-transliteration
+  data_files:
+  - split: train
+    path: alt-my-transliteration/train-*
+- config_name: alt-my-west-transliteration
+  data_files:
+  - split: train
+    path: alt-my-west-transliteration/train-*
+- config_name: alt-parallel
+  data_files:
+  - split: train
+    path: alt-parallel/train-*
+  - split: validation
+    path: alt-parallel/validation-*
+  - split: test
+    path: alt-parallel/test-*
+  default: true
 ---
 
 # Dataset Card for Asian Language Treebank (ALT)

alt-en/test-00000-of-00001.parquet

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alt-en/train-00000-of-00001.parquet

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alt-en/validation-00000-of-00001.parquet

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+size 186500

alt-jp/test-00000-of-00001.parquet

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+size 503984

alt-jp/train-00000-of-00001.parquet

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alt-jp/validation-00000-of-00001.parquet

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+size 507900

alt-km/test-00000-of-00001.parquet

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+size 226454

alt-km/train-00000-of-00001.parquet

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+size 3901919

alt-km/validation-00000-of-00001.parquet

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+size 215723

alt-my-transliteration/train-00000-of-00001.parquet

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+size 2163951

alt-my-west-transliteration/train-00000-of-00001.parquet

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+size 2857511

alt-my/test-00000-of-00001.parquet

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+size 340777

alt-my/train-00000-of-00001.parquet

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+size 5903589

alt-my/validation-00000-of-00001.parquet

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+size 324659

alt-parallel/test-00000-of-00001.parquet

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alt-parallel/train-00000-of-00001.parquet

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alt-parallel/validation-00000-of-00001.parquet

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alt.py

@@ -1,406 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-"""Asian Language Treebank (ALT) Project"""
-
-
-import os
-
-import datasets
-
-
-_CITATION = """\
-@inproceedings{riza2016introduction,
-  title={Introduction of the asian language treebank},
-  author={Riza, Hammam and Purwoadi, Michael and Uliniansyah, Teduh and Ti, Aw Ai and Aljunied, Sharifah Mahani and Mai, Luong Chi and Thang, Vu Tat and Thai, Nguyen Phuong and Chea, Vichet and Sam, Sethserey and others},
-  booktitle={2016 Conference of The Oriental Chapter of International Committee for Coordination and Standardization of Speech Databases and Assessment Techniques (O-COCOSDA)},
-  pages={1--6},
-  year={2016},
-  organization={IEEE}
-}
-"""
-
-_HOMEPAGE = "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/"
-
-_DESCRIPTION = """\
-The ALT project aims to advance the state-of-the-art Asian natural language processing (NLP) techniques through the open collaboration for developing and using ALT. It was first conducted by NICT and UCSY as described in Ye Kyaw Thu, Win Pa Pa, Masao Utiyama, Andrew Finch and Eiichiro Sumita (2016). Then, it was developed under ASEAN IVO as described in this Web page. The process of building ALT began with sampling about 20,000 sentences from English Wikinews, and then these sentences were translated into the other languages. ALT now has 13 languages: Bengali, English, Filipino, Hindi, Bahasa Indonesia, Japanese, Khmer, Lao, Malay, Myanmar (Burmese), Thai, Vietnamese, Chinese (Simplified Chinese).
-"""
-
-_URLs = {
-    "alt": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/ALT-Parallel-Corpus-20191206.zip",
-    "alt-en": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/English-ALT-20210218.zip",
-    "alt-jp": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/Japanese-ALT-20210218.zip",
-    "alt-my": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/my-alt-190530.zip",
-    "alt-my-transliteration": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/my-en-transliteration.zip",
-    "alt-my-west-transliteration": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/western-myanmar-transliteration.zip",
-    "alt-km": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/km-nova-181101.zip",
-}
-
-_SPLIT = {
-    "train": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/URL-train.txt",
-    "dev": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/URL-dev.txt",
-    "test": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/URL-test.txt",
-}
-
-_WIKI_URL = "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/ALT-Parallel-Corpus-20191206/URL.txt"
-
-
-class AltParallelConfig(datasets.BuilderConfig):
-    """BuilderConfig for ALT Parallel."""
-
-    def __init__(self, languages, **kwargs):
-        """BuilderConfig for ALT Parallel.
-
-        Args:
-            languages: languages that will be used for translation.
-            **kwargs: keyword arguments forwarded to super.
-        """
-
-        name = "alt-parallel"
-
-        description = "ALT Parallel Corpus"
-        super().__init__(
-            name=name,
-            description=description,
-            version=datasets.Version("1.0.0", ""),
-            **kwargs,
-        )
-
-        available_langs = {"bg", "en", "en_tok", "fil", "hi", "id", "ja", "khm", "lo", "ms", "my", "th", "vi", "zh"}
-        for language in languages:
-            assert language in available_langs
-
-        self.languages = languages
-
-
-class Alt(datasets.GeneratorBasedBuilder):
-    """Asian Language Treebank (ALT) Project"""
-
-    BUILDER_CONFIGS = [
-        AltParallelConfig(
-            languages=["bg", "en", "en_tok", "fil", "hi", "id", "ja", "khm", "lo", "ms", "my", "th", "vi", "zh"]
-        ),
-        datasets.BuilderConfig(name="alt-en", version=datasets.Version("2.0.0"), description="English ALT 2021 version"),
-        datasets.BuilderConfig(name="alt-jp", version=datasets.Version("2.0.0"), description="Japanese ALT 2021 version"),
-        datasets.BuilderConfig(name="alt-my", version=datasets.Version("1.0.0"), description="Myanmar ALT"),
-        datasets.BuilderConfig(name="alt-km", version=datasets.Version("1.0.0"), description="Khmer ALT"),
-        datasets.BuilderConfig(
-            name="alt-my-transliteration",
-            version=datasets.Version("1.0.0"),
-            description="Myanmar-English Transliteration Dataset",
-        ),
-        datasets.BuilderConfig(
-            name="alt-my-west-transliteration",
-            version=datasets.Version("1.0.0"),
-            description="Latin-Myanmar Transliteration Dataset",
-        ),
-    ]
-
-    DEFAULT_CONFIG_NAME = "alt-parallel"
-
-    def _info(self):
-        if self.config.name.startswith("alt-parallel"):
-            features = datasets.Features(
-                {
-                    "SNT.URLID": datasets.Value("string"),
-                    "SNT.URLID.SNTID": datasets.Value("string"),
-                    "url": datasets.Value("string"),
-                    "translation": datasets.features.Translation(languages=self.config.languages),
-                }
-            )
-        elif self.config.name == "alt-en":
-            features = datasets.Features(
-                {
-                    "SNT.URLID": datasets.Value("string"),
-                    "SNT.URLID.SNTID": datasets.Value("string"),
-                    "url": datasets.Value("string"),
-                    "status": datasets.Value("string"),
-                    "value": datasets.Value("string"),
-                }
-            )
-        elif self.config.name == "alt-jp":
-            features = datasets.Features(
-                {
-                    "SNT.URLID": datasets.Value("string"),
-                    "SNT.URLID.SNTID": datasets.Value("string"),
-                    "url": datasets.Value("string"),
-                    "status": datasets.Value("string"),
-                    "value": datasets.Value("string"),
-                    "word_alignment": datasets.Value("string"),
-                    "jp_tokenized": datasets.Value("string"),
-                    "en_tokenized": datasets.Value("string"),
-                }
-            )
-        elif self.config.name == "alt-my":
-            features = datasets.Features(
-                {
-                    "SNT.URLID": datasets.Value("string"),
-                    "SNT.URLID.SNTID": datasets.Value("string"),
-                    "url": datasets.Value("string"),
-                    "value": datasets.Value("string"),
-                }
-            )
-        elif self.config.name == "alt-my-transliteration":
-            features = datasets.Features(
-                {
-                    "en": datasets.Value("string"),
-                    "my": datasets.Sequence(datasets.Value("string")),
-                }
-            )
-        elif self.config.name == "alt-my-west-transliteration":
-            features = datasets.Features(
-                {
-                    "en": datasets.Value("string"),
-                    "my": datasets.Sequence(datasets.Value("string")),
-                }
-            )
-        elif self.config.name == "alt-km":
-            features = datasets.Features(
-                {
-                    "SNT.URLID": datasets.Value("string"),
-                    "SNT.URLID.SNTID": datasets.Value("string"),
-                    "url": datasets.Value("string"),
-                    "km_pos_tag": datasets.Value("string"),
-                    "km_tokenized": datasets.Value("string"),
-                }
-            )
-        else:
-            raise
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        if self.config.name.startswith("alt-parallel"):
-            data_path = dl_manager.download_and_extract(_URLs["alt"])
-        else:
-            data_path = dl_manager.download_and_extract(_URLs[self.config.name])
-
-        if self.config.name in {"alt-my-transliteration", "alt-my-west-transliteration"}:
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    gen_kwargs={"basepath": data_path, "split": None},
-                )
-            ]
-        else:
-            data_split = dl_manager.download(_SPLIT)
-
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    gen_kwargs={"basepath": data_path, "split": data_split["train"]},
-                ),
-                datasets.SplitGenerator(
-                    name=datasets.Split.VALIDATION,
-                    gen_kwargs={"basepath": data_path, "split": data_split["dev"]},
-                ),
-                datasets.SplitGenerator(
-                    name=datasets.Split.TEST,
-                    gen_kwargs={"basepath": data_path, "split": data_split["test"]},
-                ),
-            ]
-
-    def _generate_examples(self, basepath, split=None):
-        allow_urls = {}
-        if split is not None:
-            with open(split, encoding="utf-8") as fin:
-                for line in fin:
-                    sp = line.strip().split("\t")
-                    urlid = sp[0].replace("URL.", "")
-                    allow_urls[urlid] = {"SNT.URLID": urlid, "url": sp[1]}
-
-        if self.config.name.startswith("alt-parallel"):
-            data = {}
-            for lang in self.config.languages:
-                file_path = os.path.join(basepath, "ALT-Parallel-Corpus-20191206", f"data_{lang}.txt")
-                with open(file_path, encoding="utf-8") as fin:
-                    for line in fin:
-                        line = line.strip()
-                        sp = line.split("\t")
-
-                        _, urlid, sntid = sp[0].split(".")
-                        # Some lines have a trailing blank space: "SNT.102053.5598 " in data_fil.txt
-                        sntid = sntid.strip()
-                        if urlid not in allow_urls:
-                            continue
-
-                        if sntid not in data:
-                            data[sntid] = {
-                                "SNT.URLID": urlid,
-                                "SNT.URLID.SNTID": sntid,
-                                "url": allow_urls[urlid]["url"],
-                                "translation": {},
-                            }
-
-                        # Note that Japanese and Myanmar texts have empty sentence fields in this release.
-                        if len(sp) >= 2:
-                            data[sntid]["translation"][lang] = sp[1]
-
-            for _id, item in enumerate(data.values()):
-                yield _id, item
-
-        elif self.config.name == "alt-en":
-            data = {}
-            for fname in ["English-ALT-Draft.txt", "English-ALT-Reviewed.txt"]:
-                file_path = os.path.join(basepath, "English-ALT-20210218", fname)
-                with open(file_path, encoding="utf-8") as fin:
-                    for line in fin:
-                        line = line.strip()
-                        sp = line.split("\t")
-
-                        _, urlid, sntid = sp[0].split(".")
-                        if urlid not in allow_urls:
-                            continue
-
-                        d = {
-                            "SNT.URLID": urlid,
-                            "SNT.URLID.SNTID": sntid,
-                            "url": allow_urls[urlid]["url"],
-                            "status": "draft" if fname == "English-ALT-Draft.txt" else "reviewed",
-                            "value": sp[1],
-                        }
-
-                        data[sntid] = d
-
-            for _id, item in enumerate(data.values()):
-                yield _id, item
-
-        elif self.config.name == "alt-jp":
-            data = {}
-            for fname in ["Japanese-ALT-Draft.txt", "Japanese-ALT-Reviewed.txt"]:
-                file_path = os.path.join(basepath, "Japanese-ALT-20210218", fname)
-                with open(file_path, encoding="utf-8") as fin:
-                    for line in fin:
-                        line = line.strip()
-                        sp = line.split("\t")
-                        _, urlid, sntid = sp[0].split(".")
-                        if urlid not in allow_urls:
-                            continue
-
-                        d = {
-                            "SNT.URLID": urlid,
-                            "SNT.URLID.SNTID": sntid,
-                            "url": allow_urls[urlid]["url"],
-                            "value": sp[1],
-                            "status": "draft" if fname == "Japanese-ALT-Draft.txt" else "reviewed",
-                            "word_alignment": None,
-                            "en_tokenized": None,
-                            "jp_tokenized": None,
-                        }
-
-                        data[sntid] = d
-
-            keys = {
-                "word_alignment": "word-alignment/data_ja.en-ja",
-                "en_tokenized": "word-alignment/data_ja.en-tok",
-                "jp_tokenized": "word-alignment/data_ja.ja-tok",
-            }
-            for k in keys:
-                file_path = os.path.join(basepath, "Japanese-ALT-20210218", keys[k])
-                with open(file_path, encoding="utf-8") as fin:
-                    for line in fin:
-                        line = line.strip()
-                        sp = line.split("\t")
-
-                        # Note that Japanese and Myanmar texts have empty sentence fields in this release.
-                        if len(sp) < 2:
-                            continue
-
-                        _, urlid, sntid = sp[0].split(".")
-                        if urlid not in allow_urls:
-                            continue
-
-                        if sntid in data:
-                            data[sntid][k] = sp[1]
-
-            for _id, item in enumerate(data.values()):
-                yield _id, item
-
-        elif self.config.name == "alt-my":
-            _id = 0
-            for fname in ["data"]:
-                file_path = os.path.join(basepath, "my-alt-190530", fname)
-                with open(file_path, encoding="utf-8") as fin:
-                    for line in fin:
-                        line = line.strip()
-                        sp = line.split("\t")
-                        _, urlid, sntid = sp[0].split(".")
-                        if urlid not in allow_urls:
-                            continue
-
-                        yield _id, {
-                            "SNT.URLID": urlid,
-                            "SNT.URLID.SNTID": sntid,
-                            "url": allow_urls[urlid]["url"],
-                            "value": sp[1],
-                        }
-                        _id += 1
-
-        elif self.config.name == "alt-km":
-            data = {}
-            for fname in ["data_km.km-tag.nova", "data_km.km-tok.nova"]:
-                file_path = os.path.join(basepath, "km-nova-181101", fname)
-                with open(file_path, encoding="utf-8") as fin:
-                    for line in fin:
-                        line = line.strip()
-                        sp = line.split("\t")
-                        _, urlid, sntid = sp[0].split(".")
-                        if urlid not in allow_urls:
-                            continue
-
-                        k = "km_pos_tag" if fname == "data_km.km-tag.nova" else "km_tokenized"
-                        if sntid not in data:
-                            data[sntid] = {
-                                "SNT.URLID": urlid,
-                                "SNT.URLID.SNTID": sntid,
-                                "url": allow_urls[urlid]["url"],
-                                "km_pos_tag": None,
-                                "km_tokenized": None,
-                            }
-                        data[sntid][k] = sp[1]
-
-            for _id, item in enumerate(data.values()):
-                yield _id, item
-
-        elif self.config.name == "alt-my-transliteration":
-            file_path = os.path.join(basepath, "my-en-transliteration", "data.txt")
-            # Need to set errors='ignore' because of the unknown error
-            # UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte
-            # It might due to some issues related to Myanmar alphabets
-            with open(file_path, encoding="utf-8", errors="ignore") as fin:
-                for _id, line in enumerate(fin):
-                    line = line.strip()
-
-                    # I don't know why there are \x00 between |||. They don't show in the editor.
-                    line = line.replace("\x00", "")
-                    sp = line.split("|||")
-
-                    # When I read data, it seems to have empty sentence betweem the actual sentence. Don't know why?
-                    if len(sp) < 2:
-                        continue
-
-                    yield _id, {
-                        "en": sp[0].strip(),
-                        "my": [sp[1].strip()],
-                    }
-
-        elif self.config.name == "alt-my-west-transliteration":
-            file_path = os.path.join(basepath, "western-myanmar-transliteration", "321.txt")
-            # Need to set errors='ignore' because of the unknown error
-            # UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte
-            # It might due to some issues related to Myanmar alphabets
-            with open(file_path, encoding="utf-8", errors="ignore") as fin:
-                for _id, line in enumerate(fin):
-                    line = line.strip()
-                    line = line.replace("\x00", "")
-                    sp = line.split("|||")
-
-                    yield _id, {
-                        "en": sp[0].strip(),
-                        "my": [k.strip() for k in sp[1].split("|")],
-                    }

dataset_infos.json

@@ -1 +0,0 @@
-{"alt-parallel": {"description": "The ALT project aims to advance the state-of-the-art Asian natural language processing (NLP) techniques through the open collaboration for developing and using ALT. It was first conducted by NICT and UCSY as described in Ye Kyaw Thu, Win Pa Pa, Masao Utiyama, Andrew Finch and Eiichiro Sumita (2016). Then, it was developed under ASEAN IVO as described in this Web page. The process of building ALT began with sampling about 20,000 sentences from English Wikinews, and then these sentences were translated into the other languages. ALT now has 13 languages: Bengali, English, Filipino, Hindi, Bahasa Indonesia, Japanese, Khmer, Lao, Malay, Myanmar (Burmese), Thai, Vietnamese, Chinese (Simplified Chinese).\n", "citation": "@inproceedings{riza2016introduction,\n  title={Introduction of the asian language treebank},\n  author={Riza, Hammam and Purwoadi, Michael and Uliniansyah, Teduh and Ti, Aw Ai and Aljunied, Sharifah Mahani and Mai, Luong Chi and Thang, Vu Tat and Thai, Nguyen Phuong and Chea, Vichet and Sam, Sethserey and others},\n  booktitle={2016 Conference of The Oriental Chapter of International Committee for Coordination and Standardization of Speech Databases and Assessment Techniques (O-COCOSDA)},\n  pages={1--6},\n  year={2016},\n  organization={IEEE}\n}\n", "homepage": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/", "license": "", "features": {"SNT.URLID": {"dtype": "string", "id": null, "_type": "Value"}, "SNT.URLID.SNTID": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"languages": ["bg", "en", "en_tok", "fil", "hi", "id", "ja", "khm", "lo", "ms", "my", "th", "vi", "zh"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "alt", "config_name": "alt-parallel", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 68452188, "num_examples": 18088, "dataset_name": "alt"}, "validation": {"name": "validation", "num_bytes": 3710979, "num_examples": 1000, "dataset_name": "alt"}, "test": {"name": "test", "num_bytes": 3815565, "num_examples": 1019, "dataset_name": "alt"}}, "download_checksums": {"https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/ALT-Parallel-Corpus-20191206.zip": {"num_bytes": 21105607, "checksum": "05f7b31b517d4c4e074bb7fb57277758c0e3e15d1ad9cfc5727e9bce79b07bbd"}, "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/URL-train.txt": {"num_bytes": 161862, "checksum": "d57d680eebc9823b65c74c5de95320f17c3a5ead94bfa66a6849f3ed0cdd411a"}, "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/URL-dev.txt": {"num_bytes": 9082, "checksum": "e3d35c2f54e204216011a2509925b359c5712c768c2b17bc74e19b8d4ec7e50d"}, "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/URL-test.txt": {"num_bytes": 9233, "checksum": "6d67d6bf5c4e7574116355d71ef927c66aca2f7ab7267b14591ea250f24ec722"}}, "download_size": 21285784, "post_processing_size": null, "dataset_size": 75978732, "size_in_bytes": 97264516}, "alt-en": {"description": "The ALT project aims to advance the state-of-the-art Asian natural language processing (NLP) techniques through the open collaboration for developing and using ALT. It was first conducted by NICT and UCSY as described in Ye Kyaw Thu, Win Pa Pa, Masao Utiyama, Andrew Finch and Eiichiro Sumita (2016). Then, it was developed under ASEAN IVO as described in this Web page. The process of building ALT began with sampling about 20,000 sentences from English Wikinews, and then these sentences were translated into the other languages. ALT now has 13 languages: Bengali, English, Filipino, Hindi, Bahasa Indonesia, Japanese, Khmer, Lao, Malay, Myanmar (Burmese), Thai, Vietnamese, Chinese (Simplified Chinese).\n", "citation": "@inproceedings{riza2016introduction,\n  title={Introduction of the asian language treebank},\n  author={Riza, Hammam and Purwoadi, Michael and Uliniansyah, Teduh and Ti, Aw Ai and Aljunied, Sharifah Mahani and Mai, Luong Chi and Thang, Vu Tat and Thai, Nguyen Phuong and Chea, Vichet and Sam, Sethserey and others},\n  booktitle={2016 Conference of The Oriental Chapter of International Committee for Coordination and Standardization of Speech Databases and Assessment Techniques (O-COCOSDA)},\n  pages={1--6},\n  year={2016},\n  organization={IEEE}\n}\n", "homepage": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/", "license": "", "features": {"SNT.URLID": {"dtype": "string", "id": null, "_type": "Value"}, "SNT.URLID.SNTID": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}, "status": {"dtype": "string", "id": null, "_type": "Value"}, "value": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "alt", "config_name": "alt-en", "version": {"version_str": "2.0.0", "description": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 10075569, "num_examples": 17889, "dataset_name": "alt"}, "validation": {"name": "validation", "num_bytes": 544719, "num_examples": 988, "dataset_name": "alt"}, "test": {"name": "test", "num_bytes": 567272, "num_examples": 1017, "dataset_name": "alt"}}, "download_checksums": {"https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/English-ALT-20210218.zip": {"num_bytes": 3691202, "checksum": "16fc4d1702637a8057018c48d43a941267c5ab575c239415ac32a00d4cc14b38"}, "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/URL-train.txt": {"num_bytes": 161862, "checksum": "d57d680eebc9823b65c74c5de95320f17c3a5ead94bfa66a6849f3ed0cdd411a"}, "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/URL-dev.txt": {"num_bytes": 9082, "checksum": "e3d35c2f54e204216011a2509925b359c5712c768c2b17bc74e19b8d4ec7e50d"}, "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/URL-test.txt": {"num_bytes": 9233, "checksum": "6d67d6bf5c4e7574116355d71ef927c66aca2f7ab7267b14591ea250f24ec722"}}, "download_size": 3871379, "post_processing_size": null, "dataset_size": 11187560, "size_in_bytes": 15058939}, "alt-jp": {"description": "The ALT project aims to advance the state-of-the-art Asian natural language processing (NLP) techniques through the open collaboration for developing and using ALT. It was first conducted by NICT and UCSY as described in Ye Kyaw Thu, Win Pa Pa, Masao Utiyama, Andrew Finch and Eiichiro Sumita (2016). Then, it was developed under ASEAN IVO as described in this Web page. The process of building ALT began with sampling about 20,000 sentences from English Wikinews, and then these sentences were translated into the other languages. ALT now has 13 languages: Bengali, English, Filipino, Hindi, Bahasa Indonesia, Japanese, Khmer, Lao, Malay, Myanmar (Burmese), Thai, Vietnamese, Chinese (Simplified Chinese).\n", "citation": "@inproceedings{riza2016introduction,\n  title={Introduction of the asian language treebank},\n  author={Riza, Hammam and Purwoadi, Michael and Uliniansyah, Teduh and Ti, Aw Ai and Aljunied, Sharifah Mahani and Mai, Luong Chi and Thang, Vu Tat and Thai, Nguyen Phuong and Chea, Vichet and Sam, Sethserey and others},\n  booktitle={2016 Conference of The Oriental Chapter of International Committee for Coordination and Standardization of Speech Databases and Assessment Techniques (O-COCOSDA)},\n  pages={1--6},\n  year={2016},\n  organization={IEEE}\n}\n", "homepage": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/", "license": "", "features": {"SNT.URLID": {"dtype": "string", "id": null, "_type": "Value"}, "SNT.URLID.SNTID": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}, "status": {"dtype": "string", "id": null, "_type": "Value"}, "value": {"dtype": "string", "id": null, "_type": "Value"}, "word_alignment": {"dtype": "string", "id": null, "_type": "Value"}, "jp_tokenized": {"dtype": "string", "id": null, "_type": "Value"}, "en_tokenized": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "alt", "config_name": "alt-jp", "version": {"version_str": "2.0.0", "description": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 21891803, "num_examples": 17202, "dataset_name": "alt"}, "validation": {"name": "validation", "num_bytes": 1181555, "num_examples": 953, "dataset_name": "alt"}, "test": {"name": "test", "num_bytes": 1175592, "num_examples": 931, "dataset_name": "alt"}}, "download_checksums": {"https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/Japanese-ALT-20210218.zip": {"num_bytes": 13011062, "checksum": "6b09e15d7611c9fcc4dfa81b4d519637062dc350ce7d3c72adb67af885dd5bec"}, "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/URL-train.txt": {"num_bytes": 161862, "checksum": "d57d680eebc9823b65c74c5de95320f17c3a5ead94bfa66a6849f3ed0cdd411a"}, "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/URL-dev.txt": {"num_bytes": 9082, "checksum": "e3d35c2f54e204216011a2509925b359c5712c768c2b17bc74e19b8d4ec7e50d"}, "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/URL-test.txt": {"num_bytes": 9233, "checksum": "6d67d6bf5c4e7574116355d71ef927c66aca2f7ab7267b14591ea250f24ec722"}}, "download_size": 13191239, "post_processing_size": null, "dataset_size": 24248950, "size_in_bytes": 37440189}, "alt-my": {"description": "The ALT project aims to advance the state-of-the-art Asian natural language processing (NLP) techniques through the open collaboration for developing and using ALT. 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It was first conducted by NICT and UCSY as described in Ye Kyaw Thu, Win Pa Pa, Masao Utiyama, Andrew Finch and Eiichiro Sumita (2016). Then, it was developed under ASEAN IVO as described in this Web page. The process of building ALT began with sampling about 20,000 sentences from English Wikinews, and then these sentences were translated into the other languages. 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