Update files from the datasets library (from 1.4.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.4.0

README.md

@@ -27,7 +27,7 @@
   - [Citation Information](#citation-information)
   - [Contributions](#contributions)
 
-## [Dataset Description](#dataset-description)
+## Dataset Description
 
 - **Homepage:** [https://modestyachts.github.io/squadshifts-website/index.html](https://modestyachts.github.io/squadshifts-website/index.html)
 - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
@@ -37,24 +37,24 @@
 - **Size of the generated dataset:** 35.82 MB
 - **Total amount of disk used:** 98.78 MB
 
-### [Dataset Summary](#dataset-summary)
+### Dataset Summary
 
 SquadShifts consists of four new test sets for the Stanford Question Answering Dataset (SQuAD) from four different domains: Wikipedia articles, New York \
 Times articles, Reddit comments, and Amazon product reviews. Each dataset was generated using the same data generating pipeline, Amazon Mechanical Turk interface, and data cleaning code as the original SQuAD v1.1 dataset. The "new-wikipedia" dataset measures overfitting on the original SQuAD v1.1 dataset.  The "new-york-times", "reddit", and "amazon" datasets measure robustness to natural distribution shifts. We encourage SQuAD model developers to also evaluate their methods on these new datasets!
 
-### [Supported Tasks](#supported-tasks)
+### Supported Tasks
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Languages](#languages)
+### Languages
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-## [Dataset Structure](#dataset-structure)
+## Dataset Structure
 
 We show detailed information for up to 5 configurations of the dataset.
 
-### [Data Instances](#data-instances)
+### Data Instances
 
 #### amazon
 
@@ -136,7 +136,7 @@ An example of 'test' looks as follows.
 }
 ```
 
-### [Data Fields](#data-fields)
+### Data Fields
 
 The data fields are the same among all splits.
 
@@ -176,7 +176,7 @@ The data fields are the same among all splits.
   - `text`: a `string` feature.
   - `answer_start`: a `int32` feature.
 
-### [Data Splits Sample Size](#data-splits-sample-size)
+### Data Splits Sample Size
 
 |  name  |test |
 |--------|----:|
@@ -185,49 +185,49 @@ The data fields are the same among all splits.
 |nyt     |10065|
 |reddit  | 9803|
 
-## [Dataset Creation](#dataset-creation)
+## Dataset Creation
 
-### [Curation Rationale](#curation-rationale)
+### Curation Rationale
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Source Data](#source-data)
+### Source Data
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Annotations](#annotations)
+### Annotations
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Personal and Sensitive Information](#personal-and-sensitive-information)
+### Personal and Sensitive Information
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-## [Considerations for Using the Data](#considerations-for-using-the-data)
+## Considerations for Using the Data
 
-### [Social Impact of Dataset](#social-impact-of-dataset)
+### Social Impact of Dataset
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Discussion of Biases](#discussion-of-biases)
+### Discussion of Biases
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Other Known Limitations](#other-known-limitations)
+### Other Known Limitations
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-## [Additional Information](#additional-information)
+## Additional Information
 
-### [Dataset Curators](#dataset-curators)
+### Dataset Curators
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Licensing Information](#licensing-information)
+### Licensing Information
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Citation Information](#citation-information)
+### Citation Information
 
 ```
 @inproceedings{miller2020effect,

squadshifts.py

@@ -19,11 +19,13 @@
 from __future__ import absolute_import, division, print_function
 
 import json
-import logging
 
 import datasets
 
 
+logger = datasets.logging.get_logger(__name__)
+
+
 _CITATION = """\
 @inproceedings{miller2020effect,
   author = {J. Miller and K. Krauth and B. Recht and L. Schmidt},
@@ -143,7 +145,7 @@ class SquadShifts(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, filepath):
         """This function returns the examples in the raw (text) form."""
-        logging.info("generating examples from = %s", filepath)
+        logger.info("generating examples from = %s", filepath)
         with open(filepath, encoding="utf-8") as f:
             squad = json.load(f)
             for article in squad["data"]: