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+/parlai-1.7.1.tar.gz
diff --git a/python-parlai.spec b/python-parlai.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-parlai
+Version:	1.7.1
+Release:	1
+Summary:	Unified platform for dialogue research.
+License:	MIT License
+URL:		http://parl.ai/
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/d7/15/6f3aab24dde27ab649a5fea4b1f4354267b27f1a83dd0e1095450ef29a90/parlai-1.7.1.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-coloredlogs
+Requires:	python3-datasets
+Requires:	python3-docutils
+Requires:	python3-emoji
+Requires:	python3-fairscale
+Requires:	python3-docformatter
+Requires:	python3-flake8-bugbear
+Requires:	python3-flake8
+Requires:	python3-fuzzywuzzy
+Requires:	python3-google-cloud-storage
+Requires:	python3-importlib-metadata
+Requires:	python3-iopath
+Requires:	python3-gitdb2
+Requires:	python3-GitPython
+Requires:	python3-hydra-core
+Requires:	python3-ipython
+Requires:	python3-torch
+Requires:	python3-joblib
+Requires:	python3-nltk
+Requires:	python3-omegaconf
+Requires:	python3-pandas
+Requires:	python3-pytest-regressions
+Requires:	python3-pytest
+Requires:	python3-pexpect
+Requires:	python3-Pillow
+Requires:	python3-py-gfm
+Requires:	python3-py-rouge
+Requires:	python3-pyyaml
+Requires:	python3-pyzmq
+Requires:	python3-regex
+Requires:	python3-myst-parser
+Requires:	python3-attrs
+Requires:	python3-requests-mock
+Requires:	python3-requests
+Requires:	python3-scikit-learn
+Requires:	python3-scipy
+Requires:	python3-sh
+Requires:	python3-sphinx-rtd-theme
+Requires:	python3-sphinx-autodoc-typehints
+Requires:	python3-Sphinx
+Requires:	python3-subword-nmt
+Requires:	python3-tensorboardX
+Requires:	python3-tokenizers
+Requires:	python3-tomli
+Requires:	python3-torchtext
+Requires:	python3-tornado
+Requires:	python3-tqdm
+Requires:	python3-typing-extensions
+Requires:	python3-Unidecode
+Requires:	python3-urllib3
+Requires:	python3-websocket-client
+Requires:	python3-jsonlines
+Requires:	python3-numpy
+Requires:	python3-markdown
+Requires:	python3-jinja2
+Requires:	python3-ninja
+Requires:	python3-protobuf
+Requires:	python3-contractions
+Requires:	python3-fsspec
+
+%description
+[ParlAI](http://parl.ai) (pronounced “par-lay”) is a python framework for
+sharing, training and testing dialogue models, from open-domain chitchat, to
+task-oriented dialogue, to visual question answering.
+Its goal is to provide researchers:
+- **100+ popular datasets available all in one place, with the same API**, among them [PersonaChat](https://arxiv.org/abs/1801.07243), [DailyDialog](https://arxiv.org/abs/1710.03957), [Wizard of Wikipedia](https://openreview.net/forum?id=r1l73iRqKm), [Empathetic Dialogues](https://arxiv.org/abs/1811.00207), [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/), [MS MARCO](http://www.msmarco.org/), [QuAC](https://www.aclweb.org/anthology/D18-1241), [HotpotQA](https://hotpotqa.github.io/), [QACNN & QADailyMail](https://arxiv.org/abs/1506.03340), [CBT](https://arxiv.org/abs/1511.02301), [BookTest](https://arxiv.org/abs/1610.00956), [bAbI Dialogue tasks](https://arxiv.org/abs/1605.07683), [Ubuntu Dialogue](https://arxiv.org/abs/1506.08909), [OpenSubtitles](http://opus.lingfil.uu.se/OpenSubtitles.php),  [Image Chat](https://arxiv.org/abs/1811.00945), [VQA](http://visualqa.org/), [VisDial](https://arxiv.org/abs/1611.08669) and [CLEVR](http://cs.stanford.edu/people/jcjohns/clevr/). See the complete list [here](https://github.com/facebookresearch/ParlAI/blob/main/parlai/tasks/task_list.py).
+- a wide set of [**reference models**](https://parl.ai/docs/agents_list.html) -- from retrieval baselines to Transformers.
+- a large [zoo of **pretrained models**](https://parl.ai/docs/zoo.html) ready to use off-the-shelf
+- seamless **integration of [Amazon Mechanical Turk](https://www.mturk.com/mturk/welcome)** for data collection and human evaluation
+- **integration with [Facebook Messenger](https://parl.ai/docs/tutorial_chat_service.html)** to connect agents with humans in a chat interface
+- a large range of **helpers to create your own agents** and train on several tasks with **multitasking**
+- **multimodality**, some tasks use text and images
+ParlAI is described in the following paper:
+[“ParlAI: A Dialog Research Software Platform", arXiv:1705.06476](https://arxiv.org/abs/1705.06476)
+or see these [more up-to-date slides](https://drive.google.com/file/d/1JfUW4AVrjSp8X8Fp0_rTTRoLxUfW0aUm/view?usp=sharing).
+Follow us on [Twitter](https://twitter.com/parlai_parley) and check out our [Release
+notes](https://github.com/facebookresearch/ParlAI/releases) to see the latest
+information about new features & updates, and the website
+[http://parl.ai](http://parl.ai) for further docs. For an archived list of updates,
+check out [NEWS.md](https://github.com/facebookresearch/ParlAI/blob/main/NEWS.md).
+<p align="center"><img width="90%" src="https://raw.githubusercontent.com/facebookresearch/ParlAI/main/docs/source/_static/img/parlai_example.png" /></p>
+## Interactive Tutorial
+For those who want to start with ParlAI now, you can try our [Colab Tutorial](https://colab.research.google.com/drive/1bRMvN0lGXaTF5fuTidgvlAl-Lb41F7AD#scrollTo=KtVz5dCUmFkN).
+## Installing ParlAI
+ParlAI currently requires Python3.8+ and [Pytorch](https://pytorch.org) 1.6 or higher.
+Dependencies of the core modules are listed in [`requirements.txt`](https://github.com/facebookresearch/ParlAI/blob/main/requirements.txt). Some
+models included (in [`parlai/agents`](https://github.com/facebookresearch/ParlAI/tree/main/parlai/agents)) have additional requirements.
+We *strongly* recommend you install ParlAI in a [venv](https://docs.python.org/3/library/venv.html) or [conda](https://www.anaconda.com/) environment.
+We do not support Windows at this time, but many users [report success on Windows using Python 3.8](https://github.com/facebookresearch/ParlAI/issues/3989) and issues with Python 3.9. We are happy to accept patches that improve Windows support.
+**Standard Installation**
+If you want to use ParlAI without modifications, you can install it with:
+```bash
+pip install parlai
+```
+**Development Installation**
+Many users will want to modify some parts of ParlAI. To set up a development
+environment, run the following commands to clone the repository and install
+ParlAI:
+```bash
+git clone https://github.com/facebookresearch/ParlAI.git ~/ParlAI
+cd ~/ParlAI; python setup.py develop
+```
+All needed data will be downloaded to `~/ParlAI/data`. If you need to clear out
+the space used by these files, you can safely delete these directories and any
+files needed will be downloaded again.
+## Documentation
+ - [Quick Start](https://parl.ai/docs/tutorial_quick.html)
+ - [Basics: world, agents, teachers, action and observations](https://parl.ai/docs/tutorial_basic.html)
+ - [Creating a new dataset/task](http://parl.ai/docs/tutorial_task.html)
+ - [List of available tasks/datasets](https://parl.ai/docs/tasks.html)
+ - [Creating a seq2seq agent](https://parl.ai/docs/tutorial_torch_generator_agent.html)
+ - [List of available agents](https://parl.ai/docs/agents_list.html)
+ - [Model zoo (list pretrained models)](https://parl.ai/docs/zoo.html)
+ - [Running crowdsourcing tasks](http://parl.ai/docs/tutorial_crowdsourcing.html)
+ - [Plug into Facebook Messenger](https://parl.ai/docs/tutorial_chat_service.html)
+## Examples
+A large set of scripts can be found in [`parlai/scripts`](https://github.com/facebookresearch/ParlAI/tree/main/parlai/scripts). Here are a few of them.
+Note: If any of these examples fail, check the [installation section](#installing-parlai) to see if you have missed something.
+Display 10 random examples from the SQuAD task
+```bash
+parlai display_data -t squad
+```
+Evaluate an IR baseline model on the validation set of the Personachat task:
+```bash
+parlai eval_model -m ir_baseline -t personachat -dt valid
+```
+Train a single layer transformer on PersonaChat (requires pytorch and torchtext).
+Detail: embedding size 300, 4 attention heads,  2 epochs using batchsize 64, word vectors are initialized with fasttext and the other elements of the batch are used as negative during training.
+```bash
+parlai train_model -t personachat -m transformer/ranker -mf /tmp/model_tr6 --n-layers 1 --embedding-size 300 --ffn-size 600 --n-heads 4 --num-epochs 2 -veps 0.25 -bs 64 -lr 0.001 --dropout 0.1 --embedding-type fasttext_cc --candidates batch
+```
+## Code Organization
+The code is set up into several main directories:
+- [**core**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/core): contains the primary code for the framework
+- [**agents**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/agents): contains agents which can interact with the different tasks (e.g. machine learning models)
+- [**scripts**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/scripts): contains a number of useful scripts, like training, evaluating, interactive chatting, ...
+- [**tasks**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/tasks): contains code for the different tasks available from within ParlAI
+- [**mturk**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/mturk): contains code for setting up Mechanical Turk, as well as sample MTurk tasks
+- [**messenger**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/chat_service/services/messenger): contains code for interfacing with Facebook Messenger
+- [**utils**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/utils): contains a wide number of frequently used utility methods
+- [**crowdsourcing**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/crowdsourcing): contains code for running crowdsourcing tasks, such as on Amazon Mechanical Turk
+- [**chat_service**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/chat_service/services/messenger): contains code for interfacing with services such as Facebook Messenger
+- [**zoo**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/zoo): contains code to directly download and use pretrained models from our model zoo
+## Support
+If you have any questions, bug reports or feature requests, please don't hesitate to post on our [Github Issues page](https://github.com/facebookresearch/ParlAI/issues).
+You may also be interested in checking out our [FAQ](https://parl.ai/docs/faq.html) and
+our [Tips n Tricks](https://parl.ai/docs/tutorial_tipsntricks.html).
+Please remember to follow our [Code of Conduct](https://github.com/facebookresearch/ParlAI/blob/main/CODE_OF_CONDUCT.md).
+## Contributing
+We welcome PRs from the community!
+You can find information about contributing to ParlAI in our
+[Contributing](https://github.com/facebookresearch/ParlAI/blob/main/CONTRIBUTING.md)
+document.
+## The Team
+ParlAI is currently maintained by Moya Chen, Emily Dinan, Dexter Ju, Mojtaba
+Komeili, Spencer Poff, Pratik Ringshia, Stephen Roller, Kurt Shuster,
+Eric Michael Smith, Megan Ung, Jack Urbanek, Jason Weston, Mary Williamson,
+and Jing Xu. Kurt Shuster is the current Tech Lead.
+Former major contributors and maintainers include Alexander H. Miller, Margaret
+Li, Will Feng, Adam Fisch, Jiasen Lu, Antoine Bordes, Devi Parikh, Dhruv Batra,
+Filipe de Avila Belbute Peres, Chao Pan, and Vedant Puri.
+## Citation
+Please cite the [arXiv paper](https://arxiv.org/abs/1705.06476) if you use ParlAI in your work:
+```
+@article{miller2017parlai,
+  title={ParlAI: A Dialog Research Software Platform},
+  author={{Miller}, A.~H. and {Feng}, W. and {Fisch}, A. and {Lu}, J. and {Batra}, D. and {Bordes}, A. and {Parikh}, D. and {Weston}, J.},
+  journal={arXiv preprint arXiv:{1705.06476}},
+  year={2017}
+}
+```
+## License
+ParlAI is MIT licensed. See the **[LICENSE](https://github.com/facebookresearch/ParlAI/blob/main/LICENSE)** file for details.
+
+%package -n python3-parlai
+Summary:	Unified platform for dialogue research.
+Provides:	python-parlai
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-parlai
+[ParlAI](http://parl.ai) (pronounced “par-lay”) is a python framework for
+sharing, training and testing dialogue models, from open-domain chitchat, to
+task-oriented dialogue, to visual question answering.
+Its goal is to provide researchers:
+- **100+ popular datasets available all in one place, with the same API**, among them [PersonaChat](https://arxiv.org/abs/1801.07243), [DailyDialog](https://arxiv.org/abs/1710.03957), [Wizard of Wikipedia](https://openreview.net/forum?id=r1l73iRqKm), [Empathetic Dialogues](https://arxiv.org/abs/1811.00207), [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/), [MS MARCO](http://www.msmarco.org/), [QuAC](https://www.aclweb.org/anthology/D18-1241), [HotpotQA](https://hotpotqa.github.io/), [QACNN & QADailyMail](https://arxiv.org/abs/1506.03340), [CBT](https://arxiv.org/abs/1511.02301), [BookTest](https://arxiv.org/abs/1610.00956), [bAbI Dialogue tasks](https://arxiv.org/abs/1605.07683), [Ubuntu Dialogue](https://arxiv.org/abs/1506.08909), [OpenSubtitles](http://opus.lingfil.uu.se/OpenSubtitles.php),  [Image Chat](https://arxiv.org/abs/1811.00945), [VQA](http://visualqa.org/), [VisDial](https://arxiv.org/abs/1611.08669) and [CLEVR](http://cs.stanford.edu/people/jcjohns/clevr/). See the complete list [here](https://github.com/facebookresearch/ParlAI/blob/main/parlai/tasks/task_list.py).
+- a wide set of [**reference models**](https://parl.ai/docs/agents_list.html) -- from retrieval baselines to Transformers.
+- a large [zoo of **pretrained models**](https://parl.ai/docs/zoo.html) ready to use off-the-shelf
+- seamless **integration of [Amazon Mechanical Turk](https://www.mturk.com/mturk/welcome)** for data collection and human evaluation
+- **integration with [Facebook Messenger](https://parl.ai/docs/tutorial_chat_service.html)** to connect agents with humans in a chat interface
+- a large range of **helpers to create your own agents** and train on several tasks with **multitasking**
+- **multimodality**, some tasks use text and images
+ParlAI is described in the following paper:
+[“ParlAI: A Dialog Research Software Platform", arXiv:1705.06476](https://arxiv.org/abs/1705.06476)
+or see these [more up-to-date slides](https://drive.google.com/file/d/1JfUW4AVrjSp8X8Fp0_rTTRoLxUfW0aUm/view?usp=sharing).
+Follow us on [Twitter](https://twitter.com/parlai_parley) and check out our [Release
+notes](https://github.com/facebookresearch/ParlAI/releases) to see the latest
+information about new features & updates, and the website
+[http://parl.ai](http://parl.ai) for further docs. For an archived list of updates,
+check out [NEWS.md](https://github.com/facebookresearch/ParlAI/blob/main/NEWS.md).
+<p align="center"><img width="90%" src="https://raw.githubusercontent.com/facebookresearch/ParlAI/main/docs/source/_static/img/parlai_example.png" /></p>
+## Interactive Tutorial
+For those who want to start with ParlAI now, you can try our [Colab Tutorial](https://colab.research.google.com/drive/1bRMvN0lGXaTF5fuTidgvlAl-Lb41F7AD#scrollTo=KtVz5dCUmFkN).
+## Installing ParlAI
+ParlAI currently requires Python3.8+ and [Pytorch](https://pytorch.org) 1.6 or higher.
+Dependencies of the core modules are listed in [`requirements.txt`](https://github.com/facebookresearch/ParlAI/blob/main/requirements.txt). Some
+models included (in [`parlai/agents`](https://github.com/facebookresearch/ParlAI/tree/main/parlai/agents)) have additional requirements.
+We *strongly* recommend you install ParlAI in a [venv](https://docs.python.org/3/library/venv.html) or [conda](https://www.anaconda.com/) environment.
+We do not support Windows at this time, but many users [report success on Windows using Python 3.8](https://github.com/facebookresearch/ParlAI/issues/3989) and issues with Python 3.9. We are happy to accept patches that improve Windows support.
+**Standard Installation**
+If you want to use ParlAI without modifications, you can install it with:
+```bash
+pip install parlai
+```
+**Development Installation**
+Many users will want to modify some parts of ParlAI. To set up a development
+environment, run the following commands to clone the repository and install
+ParlAI:
+```bash
+git clone https://github.com/facebookresearch/ParlAI.git ~/ParlAI
+cd ~/ParlAI; python setup.py develop
+```
+All needed data will be downloaded to `~/ParlAI/data`. If you need to clear out
+the space used by these files, you can safely delete these directories and any
+files needed will be downloaded again.
+## Documentation
+ - [Quick Start](https://parl.ai/docs/tutorial_quick.html)
+ - [Basics: world, agents, teachers, action and observations](https://parl.ai/docs/tutorial_basic.html)
+ - [Creating a new dataset/task](http://parl.ai/docs/tutorial_task.html)
+ - [List of available tasks/datasets](https://parl.ai/docs/tasks.html)
+ - [Creating a seq2seq agent](https://parl.ai/docs/tutorial_torch_generator_agent.html)
+ - [List of available agents](https://parl.ai/docs/agents_list.html)
+ - [Model zoo (list pretrained models)](https://parl.ai/docs/zoo.html)
+ - [Running crowdsourcing tasks](http://parl.ai/docs/tutorial_crowdsourcing.html)
+ - [Plug into Facebook Messenger](https://parl.ai/docs/tutorial_chat_service.html)
+## Examples
+A large set of scripts can be found in [`parlai/scripts`](https://github.com/facebookresearch/ParlAI/tree/main/parlai/scripts). Here are a few of them.
+Note: If any of these examples fail, check the [installation section](#installing-parlai) to see if you have missed something.
+Display 10 random examples from the SQuAD task
+```bash
+parlai display_data -t squad
+```
+Evaluate an IR baseline model on the validation set of the Personachat task:
+```bash
+parlai eval_model -m ir_baseline -t personachat -dt valid
+```
+Train a single layer transformer on PersonaChat (requires pytorch and torchtext).
+Detail: embedding size 300, 4 attention heads,  2 epochs using batchsize 64, word vectors are initialized with fasttext and the other elements of the batch are used as negative during training.
+```bash
+parlai train_model -t personachat -m transformer/ranker -mf /tmp/model_tr6 --n-layers 1 --embedding-size 300 --ffn-size 600 --n-heads 4 --num-epochs 2 -veps 0.25 -bs 64 -lr 0.001 --dropout 0.1 --embedding-type fasttext_cc --candidates batch
+```
+## Code Organization
+The code is set up into several main directories:
+- [**core**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/core): contains the primary code for the framework
+- [**agents**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/agents): contains agents which can interact with the different tasks (e.g. machine learning models)
+- [**scripts**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/scripts): contains a number of useful scripts, like training, evaluating, interactive chatting, ...
+- [**tasks**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/tasks): contains code for the different tasks available from within ParlAI
+- [**mturk**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/mturk): contains code for setting up Mechanical Turk, as well as sample MTurk tasks
+- [**messenger**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/chat_service/services/messenger): contains code for interfacing with Facebook Messenger
+- [**utils**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/utils): contains a wide number of frequently used utility methods
+- [**crowdsourcing**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/crowdsourcing): contains code for running crowdsourcing tasks, such as on Amazon Mechanical Turk
+- [**chat_service**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/chat_service/services/messenger): contains code for interfacing with services such as Facebook Messenger
+- [**zoo**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/zoo): contains code to directly download and use pretrained models from our model zoo
+## Support
+If you have any questions, bug reports or feature requests, please don't hesitate to post on our [Github Issues page](https://github.com/facebookresearch/ParlAI/issues).
+You may also be interested in checking out our [FAQ](https://parl.ai/docs/faq.html) and
+our [Tips n Tricks](https://parl.ai/docs/tutorial_tipsntricks.html).
+Please remember to follow our [Code of Conduct](https://github.com/facebookresearch/ParlAI/blob/main/CODE_OF_CONDUCT.md).
+## Contributing
+We welcome PRs from the community!
+You can find information about contributing to ParlAI in our
+[Contributing](https://github.com/facebookresearch/ParlAI/blob/main/CONTRIBUTING.md)
+document.
+## The Team
+ParlAI is currently maintained by Moya Chen, Emily Dinan, Dexter Ju, Mojtaba
+Komeili, Spencer Poff, Pratik Ringshia, Stephen Roller, Kurt Shuster,
+Eric Michael Smith, Megan Ung, Jack Urbanek, Jason Weston, Mary Williamson,
+and Jing Xu. Kurt Shuster is the current Tech Lead.
+Former major contributors and maintainers include Alexander H. Miller, Margaret
+Li, Will Feng, Adam Fisch, Jiasen Lu, Antoine Bordes, Devi Parikh, Dhruv Batra,
+Filipe de Avila Belbute Peres, Chao Pan, and Vedant Puri.
+## Citation
+Please cite the [arXiv paper](https://arxiv.org/abs/1705.06476) if you use ParlAI in your work:
+```
+@article{miller2017parlai,
+  title={ParlAI: A Dialog Research Software Platform},
+  author={{Miller}, A.~H. and {Feng}, W. and {Fisch}, A. and {Lu}, J. and {Batra}, D. and {Bordes}, A. and {Parikh}, D. and {Weston}, J.},
+  journal={arXiv preprint arXiv:{1705.06476}},
+  year={2017}
+}
+```
+## License
+ParlAI is MIT licensed. See the **[LICENSE](https://github.com/facebookresearch/ParlAI/blob/main/LICENSE)** file for details.
+
+%package help
+Summary:	Development documents and examples for parlai
+Provides:	python3-parlai-doc
+%description help
+[ParlAI](http://parl.ai) (pronounced “par-lay”) is a python framework for
+sharing, training and testing dialogue models, from open-domain chitchat, to
+task-oriented dialogue, to visual question answering.
+Its goal is to provide researchers:
+- **100+ popular datasets available all in one place, with the same API**, among them [PersonaChat](https://arxiv.org/abs/1801.07243), [DailyDialog](https://arxiv.org/abs/1710.03957), [Wizard of Wikipedia](https://openreview.net/forum?id=r1l73iRqKm), [Empathetic Dialogues](https://arxiv.org/abs/1811.00207), [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/), [MS MARCO](http://www.msmarco.org/), [QuAC](https://www.aclweb.org/anthology/D18-1241), [HotpotQA](https://hotpotqa.github.io/), [QACNN & QADailyMail](https://arxiv.org/abs/1506.03340), [CBT](https://arxiv.org/abs/1511.02301), [BookTest](https://arxiv.org/abs/1610.00956), [bAbI Dialogue tasks](https://arxiv.org/abs/1605.07683), [Ubuntu Dialogue](https://arxiv.org/abs/1506.08909), [OpenSubtitles](http://opus.lingfil.uu.se/OpenSubtitles.php),  [Image Chat](https://arxiv.org/abs/1811.00945), [VQA](http://visualqa.org/), [VisDial](https://arxiv.org/abs/1611.08669) and [CLEVR](http://cs.stanford.edu/people/jcjohns/clevr/). See the complete list [here](https://github.com/facebookresearch/ParlAI/blob/main/parlai/tasks/task_list.py).
+- a wide set of [**reference models**](https://parl.ai/docs/agents_list.html) -- from retrieval baselines to Transformers.
+- a large [zoo of **pretrained models**](https://parl.ai/docs/zoo.html) ready to use off-the-shelf
+- seamless **integration of [Amazon Mechanical Turk](https://www.mturk.com/mturk/welcome)** for data collection and human evaluation
+- **integration with [Facebook Messenger](https://parl.ai/docs/tutorial_chat_service.html)** to connect agents with humans in a chat interface
+- a large range of **helpers to create your own agents** and train on several tasks with **multitasking**
+- **multimodality**, some tasks use text and images
+ParlAI is described in the following paper:
+[“ParlAI: A Dialog Research Software Platform", arXiv:1705.06476](https://arxiv.org/abs/1705.06476)
+or see these [more up-to-date slides](https://drive.google.com/file/d/1JfUW4AVrjSp8X8Fp0_rTTRoLxUfW0aUm/view?usp=sharing).
+Follow us on [Twitter](https://twitter.com/parlai_parley) and check out our [Release
+notes](https://github.com/facebookresearch/ParlAI/releases) to see the latest
+information about new features & updates, and the website
+[http://parl.ai](http://parl.ai) for further docs. For an archived list of updates,
+check out [NEWS.md](https://github.com/facebookresearch/ParlAI/blob/main/NEWS.md).
+<p align="center"><img width="90%" src="https://raw.githubusercontent.com/facebookresearch/ParlAI/main/docs/source/_static/img/parlai_example.png" /></p>
+## Interactive Tutorial
+For those who want to start with ParlAI now, you can try our [Colab Tutorial](https://colab.research.google.com/drive/1bRMvN0lGXaTF5fuTidgvlAl-Lb41F7AD#scrollTo=KtVz5dCUmFkN).
+## Installing ParlAI
+ParlAI currently requires Python3.8+ and [Pytorch](https://pytorch.org) 1.6 or higher.
+Dependencies of the core modules are listed in [`requirements.txt`](https://github.com/facebookresearch/ParlAI/blob/main/requirements.txt). Some
+models included (in [`parlai/agents`](https://github.com/facebookresearch/ParlAI/tree/main/parlai/agents)) have additional requirements.
+We *strongly* recommend you install ParlAI in a [venv](https://docs.python.org/3/library/venv.html) or [conda](https://www.anaconda.com/) environment.
+We do not support Windows at this time, but many users [report success on Windows using Python 3.8](https://github.com/facebookresearch/ParlAI/issues/3989) and issues with Python 3.9. We are happy to accept patches that improve Windows support.
+**Standard Installation**
+If you want to use ParlAI without modifications, you can install it with:
+```bash
+pip install parlai
+```
+**Development Installation**
+Many users will want to modify some parts of ParlAI. To set up a development
+environment, run the following commands to clone the repository and install
+ParlAI:
+```bash
+git clone https://github.com/facebookresearch/ParlAI.git ~/ParlAI
+cd ~/ParlAI; python setup.py develop
+```
+All needed data will be downloaded to `~/ParlAI/data`. If you need to clear out
+the space used by these files, you can safely delete these directories and any
+files needed will be downloaded again.
+## Documentation
+ - [Quick Start](https://parl.ai/docs/tutorial_quick.html)
+ - [Basics: world, agents, teachers, action and observations](https://parl.ai/docs/tutorial_basic.html)
+ - [Creating a new dataset/task](http://parl.ai/docs/tutorial_task.html)
+ - [List of available tasks/datasets](https://parl.ai/docs/tasks.html)
+ - [Creating a seq2seq agent](https://parl.ai/docs/tutorial_torch_generator_agent.html)
+ - [List of available agents](https://parl.ai/docs/agents_list.html)
+ - [Model zoo (list pretrained models)](https://parl.ai/docs/zoo.html)
+ - [Running crowdsourcing tasks](http://parl.ai/docs/tutorial_crowdsourcing.html)
+ - [Plug into Facebook Messenger](https://parl.ai/docs/tutorial_chat_service.html)
+## Examples
+A large set of scripts can be found in [`parlai/scripts`](https://github.com/facebookresearch/ParlAI/tree/main/parlai/scripts). Here are a few of them.
+Note: If any of these examples fail, check the [installation section](#installing-parlai) to see if you have missed something.
+Display 10 random examples from the SQuAD task
+```bash
+parlai display_data -t squad
+```
+Evaluate an IR baseline model on the validation set of the Personachat task:
+```bash
+parlai eval_model -m ir_baseline -t personachat -dt valid
+```
+Train a single layer transformer on PersonaChat (requires pytorch and torchtext).
+Detail: embedding size 300, 4 attention heads,  2 epochs using batchsize 64, word vectors are initialized with fasttext and the other elements of the batch are used as negative during training.
+```bash
+parlai train_model -t personachat -m transformer/ranker -mf /tmp/model_tr6 --n-layers 1 --embedding-size 300 --ffn-size 600 --n-heads 4 --num-epochs 2 -veps 0.25 -bs 64 -lr 0.001 --dropout 0.1 --embedding-type fasttext_cc --candidates batch
+```
+## Code Organization
+The code is set up into several main directories:
+- [**core**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/core): contains the primary code for the framework
+- [**agents**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/agents): contains agents which can interact with the different tasks (e.g. machine learning models)
+- [**scripts**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/scripts): contains a number of useful scripts, like training, evaluating, interactive chatting, ...
+- [**tasks**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/tasks): contains code for the different tasks available from within ParlAI
+- [**mturk**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/mturk): contains code for setting up Mechanical Turk, as well as sample MTurk tasks
+- [**messenger**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/chat_service/services/messenger): contains code for interfacing with Facebook Messenger
+- [**utils**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/utils): contains a wide number of frequently used utility methods
+- [**crowdsourcing**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/crowdsourcing): contains code for running crowdsourcing tasks, such as on Amazon Mechanical Turk
+- [**chat_service**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/chat_service/services/messenger): contains code for interfacing with services such as Facebook Messenger
+- [**zoo**](https://github.com/facebookresearch/ParlAI/tree/main/parlai/zoo): contains code to directly download and use pretrained models from our model zoo
+## Support
+If you have any questions, bug reports or feature requests, please don't hesitate to post on our [Github Issues page](https://github.com/facebookresearch/ParlAI/issues).
+You may also be interested in checking out our [FAQ](https://parl.ai/docs/faq.html) and
+our [Tips n Tricks](https://parl.ai/docs/tutorial_tipsntricks.html).
+Please remember to follow our [Code of Conduct](https://github.com/facebookresearch/ParlAI/blob/main/CODE_OF_CONDUCT.md).
+## Contributing
+We welcome PRs from the community!
+You can find information about contributing to ParlAI in our
+[Contributing](https://github.com/facebookresearch/ParlAI/blob/main/CONTRIBUTING.md)
+document.
+## The Team
+ParlAI is currently maintained by Moya Chen, Emily Dinan, Dexter Ju, Mojtaba
+Komeili, Spencer Poff, Pratik Ringshia, Stephen Roller, Kurt Shuster,
+Eric Michael Smith, Megan Ung, Jack Urbanek, Jason Weston, Mary Williamson,
+and Jing Xu. Kurt Shuster is the current Tech Lead.
+Former major contributors and maintainers include Alexander H. Miller, Margaret
+Li, Will Feng, Adam Fisch, Jiasen Lu, Antoine Bordes, Devi Parikh, Dhruv Batra,
+Filipe de Avila Belbute Peres, Chao Pan, and Vedant Puri.
+## Citation
+Please cite the [arXiv paper](https://arxiv.org/abs/1705.06476) if you use ParlAI in your work:
+```
+@article{miller2017parlai,
+  title={ParlAI: A Dialog Research Software Platform},
+  author={{Miller}, A.~H. and {Feng}, W. and {Fisch}, A. and {Lu}, J. and {Batra}, D. and {Bordes}, A. and {Parikh}, D. and {Weston}, J.},
+  journal={arXiv preprint arXiv:{1705.06476}},
+  year={2017}
+}
+```
+## License
+ParlAI is MIT licensed. See the **[LICENSE](https://github.com/facebookresearch/ParlAI/blob/main/LICENSE)** file for details.
+
+%prep
+%autosetup -n parlai-1.7.1
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-parlai -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 1.7.1-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..8e7618a
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+c25546a53406bbc149b1abc02cd7cf69  parlai-1.7.1.tar.gz