Datasets:
Update files from the datasets library (from 1.3.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.3.0
README.md
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---
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---
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# Dataset Card for "glue"
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks](#supported-tasks)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits Sample Size](#data-splits-sample-size)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## [Dataset Description](#dataset-description)
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- **Homepage:** [https://nyu-mll.github.io/CoLA/](https://nyu-mll.github.io/CoLA/)
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- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Size of downloaded dataset files:** 955.33 MB
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- **Size of the generated dataset:** 229.68 MB
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- **Total amount of disk used:** 1185.01 MB
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### [Dataset Summary](#dataset-summary)
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GLUE, the General Language Understanding Evaluation benchmark
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(https://gluebenchmark.com/) is a collection of resources for training,
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evaluating, and analyzing natural language understanding systems.
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### [Supported Tasks](#supported-tasks)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Languages](#languages)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## [Dataset Structure](#dataset-structure)
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We show detailed information for up to 5 configurations of the dataset.
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### [Data Instances](#data-instances)
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#### ax
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- **Size of downloaded dataset files:** 0.21 MB
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- **Size of the generated dataset:** 0.23 MB
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- **Total amount of disk used:** 0.44 MB
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An example of 'test' looks as follows.
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```
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```
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#### cola
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- **Size of downloaded dataset files:** 0.36 MB
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- **Size of the generated dataset:** 0.58 MB
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- **Total amount of disk used:** 0.94 MB
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An example of 'train' looks as follows.
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```
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```
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#### mnli
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- **Size of downloaded dataset files:** 298.29 MB
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- **Size of the generated dataset:** 78.65 MB
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- **Total amount of disk used:** 376.95 MB
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An example of 'train' looks as follows.
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```
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```
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#### mnli_matched
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- **Size of downloaded dataset files:** 298.29 MB
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- **Size of the generated dataset:** 3.52 MB
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- **Total amount of disk used:** 301.82 MB
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An example of 'validation' looks as follows.
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```
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```
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#### mnli_mismatched
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- **Size of downloaded dataset files:** 298.29 MB
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- **Size of the generated dataset:** 3.73 MB
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- **Total amount of disk used:** 302.02 MB
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An example of 'validation' looks as follows.
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```
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```
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### [Data Fields](#data-fields)
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The data fields are the same among all splits.
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#### ax
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- `premise`: a `string` feature.
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- `hypothesis`: a `string` feature.
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- `label`: a classification label, with possible values including `entailment` (0), `neutral` (1), `contradiction` (2).
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- `idx`: a `int32` feature.
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#### cola
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- `sentence`: a `string` feature.
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- `label`: a classification label, with possible values including `unacceptable` (0), `acceptable` (1).
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- `idx`: a `int32` feature.
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#### mnli
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- `premise`: a `string` feature.
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- `hypothesis`: a `string` feature.
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- `label`: a classification label, with possible values including `entailment` (0), `neutral` (1), `contradiction` (2).
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- `idx`: a `int32` feature.
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#### mnli_matched
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- `premise`: a `string` feature.
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- `hypothesis`: a `string` feature.
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- `label`: a classification label, with possible values including `entailment` (0), `neutral` (1), `contradiction` (2).
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- `idx`: a `int32` feature.
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#### mnli_mismatched
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- `premise`: a `string` feature.
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- `hypothesis`: a `string` feature.
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- `label`: a classification label, with possible values including `entailment` (0), `neutral` (1), `contradiction` (2).
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- `idx`: a `int32` feature.
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### [Data Splits Sample Size](#data-splits-sample-size)
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#### ax
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| |test|
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|---|---:|
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|ax |1104|
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#### cola
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| |train|validation|test|
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|----|----:|---------:|---:|
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|cola| 8551| 1043|1063|
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#### mnli
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| |train |validation_matched|validation_mismatched|test_matched|test_mismatched|
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|----|-----:|-----------------:|--------------------:|-----------:|--------------:|
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|mnli|392702| 9815| 9832| 9796| 9847|
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#### mnli_matched
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| |validation|test|
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|------------|---------:|---:|
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|mnli_matched| 9815|9796|
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#### mnli_mismatched
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| |validation|test|
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|---------------|---------:|---:|
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|mnli_mismatched| 9832|9847|
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## [Dataset Creation](#dataset-creation)
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### [Curation Rationale](#curation-rationale)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Source Data](#source-data)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Annotations](#annotations)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Personal and Sensitive Information](#personal-and-sensitive-information)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## [Considerations for Using the Data](#considerations-for-using-the-data)
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### [Social Impact of Dataset](#social-impact-of-dataset)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Discussion of Biases](#discussion-of-biases)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Other Known Limitations](#other-known-limitations)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## [Additional Information](#additional-information)
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### [Dataset Curators](#dataset-curators)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Licensing Information](#licensing-information)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Citation Information](#citation-information)
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```
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@article{warstadt2018neural,
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title={Neural Network Acceptability Judgments},
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author={Warstadt, Alex and Singh, Amanpreet and Bowman, Samuel R},
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journal={arXiv preprint arXiv:1805.12471},
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year={2018}
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}
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@inproceedings{wang2019glue,
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title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},
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author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},
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note={In the Proceedings of ICLR.},
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year={2019}
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}
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Note that each GLUE dataset has its own citation. Please see the source to see
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the correct citation for each contained dataset.
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```
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### Contributions
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Thanks to [@patpizio](https://github.com/patpizio), [@jeswan](https://github.com/jeswan), [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@mariamabarham](https://github.com/mariamabarham) for adding this dataset.
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