XPersona Dataset

parlai/tasks/task_list.py

@@ -1536,4 +1536,17 @@
         ),
         "links": {"arXiv": "https://arxiv.org/abs/2110.07518"},
     },
+    {
+        "id": "XPersona",
+        "display_name": "XPersona",
+        "task": "xpersona",
+        "tags": ["ChitChat"],
+        "description": (
+            "XPersona is an extension of ConvAI2 with six more languages: Chinese, French, Indonesian, Italian, Korean, and Japanese."
+        ),
+        "links": {
+            "arXiv": "https://arxiv.org/pdf/2003.07568.pdf",
+            "website": "https://github.com/HLTCHKUST/Xpersona",
+        },
+    },
 ]

parlai/tasks/xpersona/__init__.py

@@ -0,0 +1,5 @@
+#!/usr/bin/env python3
+
+# Copyright (c) Facebook, Inc. and its affiliates.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.

parlai/tasks/xpersona/agents.py

@@ -0,0 +1,70 @@
+#!/usr/bin/env python3
+
+# Copyright (c) Facebook, Inc. and its affiliates.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
+
+import copy
+import os
+from .build import build
+from parlai.core.teachers import FbDeprecatedDialogTeacher
+
+'''This dataset is available in seven different languages.
+To use the dataset in the specified language, use the task flag to specify it.
+
+--task xpersona:{LANGUAGE}
+
+The default language is English.
+'''
+
+
+def _path(opt):
+    # build the data if it does not exist
+    build(opt)
+
+    # set up path to data (specific to each dataset)
+    dt = opt['datatype'].split(':')[0]
+    if ':' in opt['task']:
+        language = opt['task'].split(':')[1]
+    else:
+        language = 'En'
+    return os.path.join(opt['datapath'], 'XPersona', language + '_' + dt + '.txt')
+
+
+class XPersonaTeacher(FbDeprecatedDialogTeacher):
+    def __init__(self, opt, shared=None):
+        opt = copy.deepcopy(opt)
+        opt['datafile'] = _path(opt)
+        super().__init__(opt, shared)
+
+
+class DefaultTeacher(XPersonaTeacher):
+    pass
+
+
+class EnTeacher(XPersonaTeacher):
+    pass
+
+
+class ItTeacher(XPersonaTeacher):
+    pass
+
+
+class ZhTeacher(XPersonaTeacher):
+    pass
+
+
+class IdTeacher(XPersonaTeacher):
+    pass
+
+
+class FrTeacher(XPersonaTeacher):
+    pass
+
+
+class JpTeacher(XPersonaTeacher):
+    pass
+
+
+class KoTeacher(XPersonaTeacher):
+    pass

parlai/tasks/xpersona/build.py

@@ -0,0 +1,200 @@
+#!/usr/bin/env python3
+
+# Copyright (c) Facebook, Inc. and its affiliates.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
+# Download and build the data if it does not exist.
+
+import parlai.core.build_data as build_data
+import os
+from parlai.core.build_data import DownloadableFile
+import json
+from parlai.utils.io import PathManager
+
+RESOURCES = [
+    ########En########
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/En_persona_test.json',
+        'En_test_tmp.json',
+        '8baa09a8064a22967544f501821aa114393a59339c0559da8afa160966ba87c9',
+        zipped=False,
+    ),
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/En_persona_train.json',
+        'En_train_tmp.json',
+        'e23112bba7320f798b07afb4c5acc3edad2a2ccb7df5cc46f141a0c79ff4665c',
+        zipped=False,
+    ),
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/En_persona_valid.json',
+        'En_valid_tmp.json',
+        '08ed3d41c5b0681c2d125a5312b43d926a8a5aa1d10a5df655d17f4c56dab635',
+        zipped=False,
+    ),
+    #######Fr########
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/Fr_persona_train_corrected.json',
+        'Fr_train_tmp.json',
+        '40e66e91aa6360eeda642c2c674f03c52854626eaf35da50084d26ff42f61292',
+        zipped=False,
+    ),
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/Fr_persona_split_test_human_annotated.json',
+        'Fr_test_tmp.json',
+        '0783fcf01bdf4c27ec28120a9b23bf4f0248e97ae476e03cd7e759cb2667ab23',
+        zipped=False,
+    ),
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/Fr_persona_split_valid_human_annotated.json',
+        'Fr_valid_tmp.json',
+        '8ad86b05aabfadedba7863828b1cc4fdff0926ebf476121268089ac7ed9af149',
+        zipped=False,
+    ),
+    ########Id########
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/Id_persona_train_corrected.json',
+        'Id_train_tmp.json',
+        'fee1a9769fe707fd09401c33bdf3b3cd4f7b5fd100998577f3f179c42423bc4f',
+        zipped=False,
+    ),
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/Id_persona_split_test_human_annotated.json',
+        'Id_test_tmp.json',
+        'e0bcd3c02f318f4381c42798a2ce6e0a10237b6998793076fbf97f633a9f2563',
+        zipped=False,
+    ),
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/Id_persona_split_valid_human_annotated.json',
+        'Id_valid_tmp.json',
+        '8f70cab662f082ae3ee2abce9e9cac619ebc632a2820d93414a59005dbf75d7e',
+        zipped=False,
+    ),
+    ########It########
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/It_persona_train_corrected.json',
+        'It_train_tmp.json',
+        '9636893050ad16dc2daabfe8bde6979c9c780c5da9d0790f5668e198aac18b8f',
+        zipped=False,
+    ),
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/It_persona_split_test_human_annotated.json',
+        'It_test_tmp.json',
+        '690103031791fd5c6763176a074cdb65e249adc784e2d577110c2d9430a02a87',
+        zipped=False,
+    ),
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/It_persona_split_valid_human_annotated.json',
+        'It_valid_tmp.json',
+        '720dc91d3f9bc6a56ac229c6800cde63c71677a3db8d0ace7a59a7f94d89df3d',
+        zipped=False,
+    ),
+    ########Jp########
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/Jp_persona_train_corrected.json',
+        'Jp_train_tmp.json',
+        '808ee29c79303e1300b38aceee79111ffe1fd2a2facb09a0956615a61d840738',
+        zipped=False,
+    ),
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/Jp_persona_split_test_human_annotated.json',
+        'Jp_test_tmp.json',
+        '682fed16148517097437942088d225bd728cb7b41aa390559681ae73e5e6848f',
+        zipped=False,
+    ),
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/Jp_persona_split_valid_human_annotated.json',
+        'Jp_valid_tmp.json',
+        'a86bb811364d100bc77ddc8038265df1e01bbc3be095e56c6ec8f179e6365d75',
+        zipped=False,
+    ),
+    ########Ko########
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/Ko_persona_train_corrected.json',
+        'Ko_train_tmp.json',
+        '105d6a08d02e76f1d006edb1819b96a8b5fa8d94b3ed278936bcf171368809b7',
+        zipped=False,
+    ),
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/Ko_persona_split_test_human_annotated.json',
+        'Ko_test_tmp.json',
+        'f7ac6bd2aec7014a28d34bb34dceed653b389ce25d21ca770e77142578dc70a6',
+        zipped=False,
+    ),
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/Ko_persona_split_valid_human_annotated.json',
+        'Ko_valid_tmp.json',
+        '188470f863f639946bc8248a9f6aa1e589b41ec61792b88b81e7a95c72deeae0',
+        zipped=False,
+    ),
+    ########Zh########
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/Zh_persona_train_corrected.json',
+        'Zh_train_tmp.json',
+        'e07899fa91edd127ec77502bd604693c40e264b60225976e2ac6ed145d080323',
+        zipped=False,
+    ),
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/Zh_persona_split_test_human_annotated.json',
+        'Zh_test_tmp.json',
+        '0767a4a27c765277792597502f57ea8bb80bf7be94613b0d833107f66a7d3512',
+        zipped=False,
+    ),
+    DownloadableFile(
+        'https://raw.githubusercontent.com/HLTCHKUST/Xpersona/master/dataset/Zh_persona_split_valid_human_annotated.json',
+        'Zh_valid_tmp.json',
+        'cfa90117d73fe294a1b776b2d1c7b53711bfcd724f5833204726c910dad5482d',
+        zipped=False,
+    ),
+]
+
+
+def build(opt):
+    dpath = os.path.join(opt['datapath'], 'XPersona')
+    version = None
+
+    if not build_data.built(dpath, version_string=version):
+        print('[building data: ' + dpath + ']')
+        if build_data.built(dpath):
+            # An older version exists, so remove these outdated files.
+            build_data.remove_dir(dpath)
+        build_data.make_dir(dpath)
+
+        # Download the data.
+        for downloadable_file in RESOURCES:
+            downloadable_file.download_file(dpath)
+        _create_parlai_format(dpath)
+
+        # Mark the data as built.
+        build_data.mark_done(dpath, version_string=version)
+
+
+def _create_parlai_format(dpath: str):
+    datatypes = ['train', 'valid', 'test']
+    languages = ['En_', 'Zh_', 'Fr_', 'Ko_', 'Id_', 'Jp_', 'It_']
+    for language in languages:
+        for datatype in datatypes:
+            datatype_full = language + datatype + '_tmp'
+            datatype_rename = language + datatype
+            load_path = os.path.join(dpath, f'{datatype_full}.json')
+            save_path = os.path.join(dpath, f'{datatype_rename}.txt')
+            with PathManager.open(load_path, 'r', encoding='utf8') as f_read:
+                data = json.load(f_read)
+            with PathManager.open(save_path, 'w', encoding='utf8') as f_write:
+                for content in data:
+                    line_num = 0
+                    personas = content['persona']
+                    dialogs = content['dialogue']
+                    for persona in personas:
+                        line_num += 1
+                        f_write.write(str(line_num) + ' your persona:' + persona + '\n')
+                    for utterance_A, utterance_B in dialogs:
+                        line_num += 1
+                        f_write.write(
+                            str(line_num)
+                            + ' '
+                            + utterance_A
+                            + '\t'
+                            + utterance_B
+                            + '\n'
+                        )
+            os.remove(load_path)

parlai/tasks/xpersona/test.py

@@ -0,0 +1,39 @@
+#!/usr/bin/env python3
+
+# Copyright (c) Facebook, Inc. and its affiliates.
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
+
+from parlai.utils.testing import AutoTeacherTest  # noqa: F401
+
+
+class TestDefaultTeacher(AutoTeacherTest):
+    task = 'xpersona'
+
+
+class TestEnTeacher(AutoTeacherTest):
+    task = 'xpersona:En'
+
+
+class TestZhTeacher(AutoTeacherTest):
+    task = 'xpersona:Zh'
+
+
+class TestFrTeacher(AutoTeacherTest):
+    task = 'xpersona:Fr'
+
+
+class TestIdTeacher(AutoTeacherTest):
+    task = 'xpersona:Id'
+
+
+class TestItTeacher(AutoTeacherTest):
+    task = 'xpersona:It'
+
+
+class TestKoTeacher(AutoTeacherTest):
+    task = 'xpersona:Ko'
+
+
+class TestJpTeacher(AutoTeacherTest):
+    task = 'xpersona:Jp'

parlai/tasks/xpersona/test/xpersona_En_test.yml

@@ -0,0 +1,42 @@
+acts:
+- - episode_done: false
+    eval_labels:
+    - i am good , i just got off work and tired , i have two jobs .
+    id: xpersona:En
+    reward: 0
+    text: 'your persona:i read twenty books a year.
+
+      your persona:i''m a stunt double as my second job.
+
+      your persona:i only eat kosher.
+
+      your persona:i was raised in a single parent household.
+
+      hello what are doing today ?'
+- - episode_done: false
+    eval_labels:
+    - i rather read , i've read about 20 books this year .
+    id: xpersona:En
+    reward: 0
+    text: i just got done watching a horror movie
+- - episode_done: false
+    eval_labels:
+    - but a good movie is always good .
+    id: xpersona:En
+    reward: 0
+    text: wow ! i do love a good horror movie . loving this cooler weather
+- - episode_done: false
+    eval_labels:
+    - i work in the movies as well .
+    id: xpersona:En
+    reward: 0
+    text: yes ! my son is in junior high and i just started letting him watch them
+      too
+- - episode_done: false
+    eval_labels:
+    - yes it is neat , i stunt double , it is so much fun and hard work .
+    id: xpersona:En
+    reward: 0
+    text: neat ! ! i used to work in the human services field
+num_episodes: 1000
+num_examples: 7801