Datasets:

xywang1
/

NaturalConv

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LICENSE CHANGED Viewed

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+Tencent AI Lab NaturalConv Dataset Terms and Conditions
+Thank you for your interest in the Tencent AI Lab NaturalConv Dataset.
+PLEASE READ THE FOLLOWING TERMS CAREFULLY:
+BY DOWNLOADING OR OTHERWISE ACCESSING OR USING THE TENCENT AI LAB NATURALCONV
+DATASET (THE “DATASET”), YOU AGREE THAT YOU HAVE READ AND UNDERSTOOD, AND, AS A
+CONDITION TO YOUR USE OF THE DATASET, YOU AGREE TO BE BOUND BY, THE FOLLOWING
+TERMS AND CONDITIONS, INCLUDING TENCENT’S PRIVACY POLICY [1] AND THE TENCENT SERVICE
+AGREEMENT [2] (TOGETHER, THESE “TERMS”). THE PRIVACY POLICY AND THE SERVICE
+AGREEMENT ARE INCORPORATED BY THIS REFERENCE INTO, AND MADE A PART OF, THESE
+TERMS. IF YOU ARE NOT ELIGIBLE, OR DO NOT AGREE TO THE TERMS, THEN YOU DO NOT HAVE
+OUR PERMISSION TO USE THE DATASET. YOUR USE OF THE DATASET, AND TENCENT’S
+PROVISION OF THE DATASET TO YOU, CONSTITUTES AN AGREEMENT BY TENCENT AND BY YOU
+TO BE BOUND BY THESE TERMS.
+1. Dataset Contents. The Dataset consists of annotated dialogues (each, a “Sequence”)
+   and hyperlinks to news articles (each, an “Article”). All references to the Dataset also
+   refer to each of the Sequences and Articles.
+2. Ownership. The Sequences were created and annotated by or on behalf of Tencent
+   International Service Pte. Ltd. or its affiliates (“Tencent”). The Dataset is the property of
+   Tencent and is protected by intellectual property and other laws. Tencent reserves all
+   rights to the Dataset not granted expressly in these Terms.
+3. Non-Commercial License Grant. Subject to your complete and ongoing compliance with
+   these Terms, Tencent grants you, solely for your personal, non-commercial use, a
+   limited, non-exclusive, non-transferable, non-sublicensable, revocable license to
+   download, reproduce, and make derivative works of the Dataset, solely for the following
+   permitted uses:
+      a. Scientific research, development, and testing; and
+      b. Publication in academic papers and display at technology research and
+         development events.
+4. License Restrictions. Except as expressly permitted in these Terms, you may not:
+      a. Reproduce, distribute, publicly display, or publicly perform, or otherwise use
+         any portion of the Dataset or any derivative work of the Dataset;
+      b. Download the Dataset or make the Dataset or any portion of the Dataset
+         available from any source other than Tencent;
+      c. Resell or distribute any portion of the Dataset or any derivative work of the
+         Dataset;
+      d. Use any portion of the Dataset or any derivative work of the Dataset in any
+         publication, product brochure, or for other advertising or marketing purpose;
+      e. Use any portion of the Dataset or any derivative work of the Dataset in any
+         other written work;
+      f. Use any portion of the Dataset if you are prohibited under applicable law
+         from doing so, or use any portion of the Dataset in violation of applicable
+         law;
+      g. Attempt to do any of the acts described above in (a) through (f) or assist or
+         permit any person in engaging in any of the acts described above in (a)
+         through (f).
+5. Disclaimers. The Dataset is provided free of charge, Accordingly, Tencent and its
+   licensors provide the Dataset AS-IS, without warranty of any kind, express or implied.
+   The views and opinions expressed in the Dataset (including the content of the Articles)
+   do not necessarily reflect those of Tencent.
+[1] https://www.tencent.com/en-us/privacy-policy.html
+[2] https://www.tencent.com/en-us/service-agreement.html

README.md CHANGED Viewed

@@ -2,4 +2,102 @@
 license: other
 license_name: tencent-ai-lab-naturalconv-dataset-terms-and-conditions
 license_link: LICENSE
 ---

 license: other
 license_name: tencent-ai-lab-naturalconv-dataset-terms-and-conditions
 license_link: LICENSE
+task_categories:
+- text-generation
+language:
+- zh
+tags:
+- dialogue
+- multi-turn
+- topic-driven
+- document
+- news
+- conversation
+size_categories:
+- 10K<n<100K
+configs:
+- config_name: default
+  data_files: dialog_release.json
 ---
+# NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation
+## Introduction
+This dataset is described in the paper [NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation](https://arxiv.org/abs/2103.02548). The entire dataset contains 5 data files.
+### 1. dialog_release.json:
+It is a json file containing a list of dictionaries.
+After loading in python this way:
+```python
+import json
+import codecs
+dialog_list = json.loads(codecs.open("dialog_release.json", "r", "utf-8").read())
+```
+dialog_list is a list whose element is a dictionary.
+Each dictionary contains three keys: "dialog_id", "document_id" and "content":
+"dialog_id" is an unique id for this dialogue.
+"document_id" represents which doucment this dialogue is grounded on.
+"content" is a list of the whole dialogue session.
+Altogether there are 19,919 dialogs, with approximately 400K dialogue utterances.
+### 2. document_url_release.json:
+It is a json file containing a list of dictionaries.
+After loading in python this way:
+```python
+import json
+import codecs
+document_list = json.loads(codecs.open("document_url_release.json", "r", "utf-8").read())
+```
+document_list is a list whose element is a dictionary.
+Each dictionary contains three keys: "document_id", "topic", and "url":
+"document_id" is an unique id for this document.
+"topic" represents which topic this document comes from.
+"url" represents the url of the original document.
+Altogether there are 6,500 documents.
+### 3, 4, and 5. train.txt, dev.txt, and test.txt:
+Each file contains the "dialog_id" for train, dev and test, respectively.
+## Document Downloading
+For research purpose only, you can refer to the code shared in this [repositary](https://github.com/naturalconv/NaturalConvDataSet) for downloading the document texts through the released urls in the document_url_release.json file.
+## Citation
+Please kindly cite our paper if you find this dataset useful:
+```
+@inproceedings{aaai-2021-naturalconv,
+    title={NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation},
+    author={Wang, Xiaoyang and Li, Chen and Zhao, Jianqiao and Yu, Dong},
+    booktitle={Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI-21)},
+    year={2021}
+}
+```
+## License
+The dataset is released for non-commercial usage only. By downloading, you agree to the terms and conditions in our [LICENSE](https://huggingface.co/datasets/xywang1/NaturalConv/blob/main/LICENSE). For the authorization of commercial usage, please contact [email protected] for details.
+## Disclaimers
+The dataset is provided AS-IS, without warranty of any kind, express or implied. The views and opinions expressed in the dataset including the documents and the dialogues do not necessarily reflect those of Tencent or the authors of the above paper.

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