Fix FileNotFoundError for alt-en and alt-jp configs

#8
by albertvillanova HF staff - opened
Files changed (3) hide show
  1. README.md +10 -10
  2. alt.py +7 -7
  3. dataset_infos.json +1 -1
README.md CHANGED
@@ -95,16 +95,16 @@ dataset_info:
95
  dtype: string
96
  splits:
97
  - name: train
98
- num_bytes: 10075609
99
  num_examples: 17889
100
  - name: validation
101
- num_bytes: 544739
102
  num_examples: 988
103
  - name: test
104
- num_bytes: 567292
105
  num_examples: 1017
106
- download_size: 2739055
107
- dataset_size: 11187640
108
  - config_name: alt-jp
109
  features:
110
  - name: SNT.URLID
@@ -125,16 +125,16 @@ dataset_info:
125
  dtype: string
126
  splits:
127
  - name: train
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- num_bytes: 21891867
129
  num_examples: 17202
130
  - name: validation
131
- num_bytes: 1181587
132
  num_examples: 953
133
  - name: test
134
- num_bytes: 1175624
135
  num_examples: 931
136
- download_size: 12007999
137
- dataset_size: 24249078
138
  - config_name: alt-my
139
  features:
140
  - name: SNT.URLID
 
95
  dtype: string
96
  splits:
97
  - name: train
98
+ num_bytes: 10075569
99
  num_examples: 17889
100
  - name: validation
101
+ num_bytes: 544719
102
  num_examples: 988
103
  - name: test
104
+ num_bytes: 567272
105
  num_examples: 1017
106
+ download_size: 3871379
107
+ dataset_size: 11187560
108
  - config_name: alt-jp
109
  features:
110
  - name: SNT.URLID
 
125
  dtype: string
126
  splits:
127
  - name: train
128
+ num_bytes: 21888277
129
  num_examples: 17202
130
  - name: validation
131
+ num_bytes: 1181555
132
  num_examples: 953
133
  - name: test
134
+ num_bytes: 1175592
135
  num_examples: 931
136
+ download_size: 13191239
137
+ dataset_size: 24245424
138
  - config_name: alt-my
139
  features:
140
  - name: SNT.URLID
alt.py CHANGED
@@ -27,8 +27,8 @@ The ALT project aims to advance the state-of-the-art Asian natural language proc
27
 
28
  _URLs = {
29
  "alt": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/ALT-Parallel-Corpus-20191206.zip",
30
- "alt-en": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/English-ALT-20170107.zip",
31
- "alt-jp": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/Japanese-ALT-20170330.zip",
32
  "alt-my": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/my-alt-190530.zip",
33
  "alt-my-transliteration": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/my-en-transliteration.zip",
34
  "alt-my-west-transliteration": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/western-myanmar-transliteration.zip",
@@ -83,8 +83,8 @@ class Alt(datasets.GeneratorBasedBuilder):
83
  AltParallelConfig(
84
  languages=["bg", "en", "en_tok", "fil", "hi", "id", "ja", "khm", "lo", "ms", "my", "th", "vi", "zh"]
85
  ),
86
- datasets.BuilderConfig(name="alt-en", version=datasets.Version("1.0.0"), description="English ALT"),
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- datasets.BuilderConfig(name="alt-jp", version=datasets.Version("1.0.0"), description="Japanese ALT"),
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  datasets.BuilderConfig(name="alt-my", version=datasets.Version("1.0.0"), description="Myanmar ALT"),
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  datasets.BuilderConfig(name="alt-km", version=datasets.Version("1.0.0"), description="Khmer ALT"),
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  datasets.BuilderConfig(
@@ -253,7 +253,7 @@ class Alt(datasets.GeneratorBasedBuilder):
253
  elif self.config.name == "alt-en":
254
  data = {}
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  for fname in ["English-ALT-Draft.txt", "English-ALT-Reviewed.txt"]:
256
- file_path = os.path.join(basepath, "English-ALT-20170107", fname)
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  fin = open(file_path, encoding="utf-8")
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  for line in fin:
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  line = line.strip()
@@ -282,7 +282,7 @@ class Alt(datasets.GeneratorBasedBuilder):
282
  elif self.config.name == "alt-jp":
283
  data = {}
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  for fname in ["Japanese-ALT-Draft.txt", "Japanese-ALT-Reviewed.txt"]:
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- file_path = os.path.join(basepath, "Japanese-ALT-20170330", fname)
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  fin = open(file_path, encoding="utf-8")
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  for line in fin:
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  line = line.strip()
@@ -316,7 +316,7 @@ class Alt(datasets.GeneratorBasedBuilder):
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  "jp_tokenized": "word-alignment/data_ja.ja-tok",
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  }
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  for k in keys:
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- file_path = os.path.join(basepath, "Japanese-ALT-20170330", keys[k])
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  fin = open(file_path, encoding="utf-8")
321
  for line in fin:
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  line = line.strip()
 
27
 
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  _URLs = {
29
  "alt": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/ALT-Parallel-Corpus-20191206.zip",
30
+ "alt-en": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/English-ALT-20210218.zip",
31
+ "alt-jp": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/Japanese-ALT-20210218.zip",
32
  "alt-my": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/my-alt-190530.zip",
33
  "alt-my-transliteration": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/my-en-transliteration.zip",
34
  "alt-my-west-transliteration": "https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/western-myanmar-transliteration.zip",
 
83
  AltParallelConfig(
84
  languages=["bg", "en", "en_tok", "fil", "hi", "id", "ja", "khm", "lo", "ms", "my", "th", "vi", "zh"]
85
  ),
86
+ datasets.BuilderConfig(name="alt-en", version=datasets.Version("2.0.0"), description="English ALT 2021 version"),
87
+ datasets.BuilderConfig(name="alt-jp", version=datasets.Version("2.0.0"), description="Japanese ALT 2021 version"),
88
  datasets.BuilderConfig(name="alt-my", version=datasets.Version("1.0.0"), description="Myanmar ALT"),
89
  datasets.BuilderConfig(name="alt-km", version=datasets.Version("1.0.0"), description="Khmer ALT"),
90
  datasets.BuilderConfig(
 
253
  elif self.config.name == "alt-en":
254
  data = {}
255
  for fname in ["English-ALT-Draft.txt", "English-ALT-Reviewed.txt"]:
256
+ file_path = os.path.join(basepath, "English-ALT-20210218", fname)
257
  fin = open(file_path, encoding="utf-8")
258
  for line in fin:
259
  line = line.strip()
 
282
  elif self.config.name == "alt-jp":
283
  data = {}
284
  for fname in ["Japanese-ALT-Draft.txt", "Japanese-ALT-Reviewed.txt"]:
285
+ file_path = os.path.join(basepath, "Japanese-ALT-20210218", fname)
286
  fin = open(file_path, encoding="utf-8")
287
  for line in fin:
288
  line = line.strip()
 
316
  "jp_tokenized": "word-alignment/data_ja.ja-tok",
317
  }
318
  for k in keys:
319
+ file_path = os.path.join(basepath, "Japanese-ALT-20210218", keys[k])
320
  fin = open(file_path, encoding="utf-8")
321
  for line in fin:
322
  line = line.strip()
dataset_infos.json CHANGED
@@ -1 +1 @@
1
- {"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": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 10075609, "num_examples": 17889, "dataset_name": "alt"}, "validation": {"name": "validation", "num_bytes": 544739, "num_examples": 988, "dataset_name": "alt"}, "test": {"name": "test", "num_bytes": 567292, "num_examples": 1017, "dataset_name": "alt"}}, "download_checksums": {"https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/English-ALT-20170107.zip": {"num_bytes": 2558878, "checksum": "c1d7dcbbf5548cfad9232c07464ff4bb0cf5fb2cd0c00af53cf5fa02a02594f0"}, "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": 2739055, "post_processing_size": null, "dataset_size": 11187640, "size_in_bytes": 13926695}, "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": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 21891867, "num_examples": 17202, "dataset_name": "alt"}, "validation": {"name": "validation", "num_bytes": 1181587, "num_examples": 953, "dataset_name": "alt"}, "test": {"name": "test", "num_bytes": 1175624, "num_examples": 931, "dataset_name": "alt"}}, "download_checksums": {"https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/Japanese-ALT-20170330.zip": {"num_bytes": 11827822, "checksum": "7749af9f337fcbf09dffffc2d5314ea5757a91ffb199aaa4f027467a3ecd805e"}, "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": 12007999, "post_processing_size": null, "dataset_size": 24249078, "size_in_bytes": 36257077}, "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. 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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