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@@ -24,25 +24,25 @@ vie
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  ## Supported Tasks
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  Question Answering
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-
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  ## Dataset Usage
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  ### Using `datasets` library
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  ```
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- from datasets import load_dataset
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- dset = datasets.load_dataset("SEACrowd/vlogqa", trust_remote_code=True)
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  ```
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  ### Using `seacrowd` library
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  ```import seacrowd as sc
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  # Load the dataset using the default config
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- dset = sc.load_dataset("vlogqa", schema="seacrowd")
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  # Check all available subsets (config names) of the dataset
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- print(sc.available_config_names("vlogqa"))
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  # Load the dataset using a specific config
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- dset = sc.load_dataset_by_config_name(config_name="<config_name>")
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  ```
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-
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- More details on how to load the `seacrowd` library can be found [here](https://github.com/SEACrowd/seacrowd-datahub?tab=readme-ov-file#how-to-use).
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-
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  ## Dataset Homepage
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@@ -58,19 +58,19 @@ Other License (others) |
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  The user of VlogQA developed by the NLP@UIT research group must respect the following
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  terms and conditions:
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  1. The dataset is only used for non-profit research for natural language processing and
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- education.
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  2. The dataset is not allowed to be used in commercial systems.
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  3. Do not redistribute the dataset. This dataset may be modified or improved to serve a
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- research purpose better, but the edited dataset may not be distributed.
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  4. Summaries, analyses, and interpretations of the properties of the dataset may be
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- derived and published, provided it is not possible to reconstruct the information from
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- these summaries.
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  5. Published research works that use the dataset must cite the following paper:
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- Thinh Ngo, Khoa Dang, Son Luu, Kiet Nguyen, and Ngan Nguyen. 2024. VlogQA: Task,
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- Dataset, and Baseline Models for Vietnamese Spoken-Based Machine Reading Comprehension.
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- In Proceedings of the 18th Conference of the European Chapter of the Association for
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- Computational Linguistics (Volume 1: Long Papers), pages 1310–1324, St. Julian’s,
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- Malta. Association for Computational Linguistics.
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  ## Citation
 
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  ## Supported Tasks
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  Question Answering
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+
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  ## Dataset Usage
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  ### Using `datasets` library
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  ```
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+ from datasets import load_dataset
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+ dset = datasets.load_dataset("SEACrowd/vlogqa", trust_remote_code=True)
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  ```
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  ### Using `seacrowd` library
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  ```import seacrowd as sc
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  # Load the dataset using the default config
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+ dset = sc.load_dataset("vlogqa", schema="seacrowd")
38
  # Check all available subsets (config names) of the dataset
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+ print(sc.available_config_names("vlogqa"))
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  # Load the dataset using a specific config
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+ dset = sc.load_dataset_by_config_name(config_name="<config_name>")
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  ```
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+
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+ More details on how to load the `seacrowd` library can be found [here](https://github.com/SEACrowd/seacrowd-datahub?tab=readme-ov-file#how-to-use).
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+
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  ## Dataset Homepage
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  The user of VlogQA developed by the NLP@UIT research group must respect the following
59
  terms and conditions:
60
  1. The dataset is only used for non-profit research for natural language processing and
61
+ education.
62
  2. The dataset is not allowed to be used in commercial systems.
63
  3. Do not redistribute the dataset. This dataset may be modified or improved to serve a
64
+ research purpose better, but the edited dataset may not be distributed.
65
  4. Summaries, analyses, and interpretations of the properties of the dataset may be
66
+ derived and published, provided it is not possible to reconstruct the information from
67
+ these summaries.
68
  5. Published research works that use the dataset must cite the following paper:
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+ Thinh Ngo, Khoa Dang, Son Luu, Kiet Nguyen, and Ngan Nguyen. 2024. VlogQA: Task,
70
+ Dataset, and Baseline Models for Vietnamese Spoken-Based Machine Reading Comprehension.
71
+ In Proceedings of the 18th Conference of the European Chapter of the Association for
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+ Computational Linguistics (Volume 1: Long Papers), pages 1310–1324, St. Julian’s,
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+ Malta. Association for Computational Linguistics.
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  ## Citation