Update README.md

README.md

@@ -62,7 +62,7 @@ task_ids:
 
 ### Dataset Summary
 
-**COYO-700M** is a large-scale dataset that contains **747M image-text pairs** as well as many other **meta-attributes** to increase the usability to train various models. Our dataset follows the similar strategy in previous vision-and-language datasets, collecting many informative pairs of alt-text and its associated image in HTML documents. We expect COYO to be used to train popular large-scale foundation models 
+**COYO-700M** is a large-scale dataset that contains **747M image-text pairs** as well as many other **meta-attributes** to increase the usability to train various models. Our dataset follows a similar strategy to previous vision-and-language datasets, collecting many informative pairs of alt-text and its associated image in HTML documents. We expect COYO to be used to train popular large-scale foundation models 
 complementary to other similar datasets. For more details on the data acquisition process, please refer to the technical paper to be released later.
 
 ### Supported Tasks and Leaderboards
@@ -113,7 +113,7 @@ Each instance in COYO-700M represents single image-text pair information with me
 | height                   | integer | The height of the image                                                                                                                                                                    | 
 | image_phash              | string  | The [perceptual hash(pHash)](http://www.phash.org/) of the image                                                                                                                           |
 | text_length              | integer | The length of the text                                                                                                                                                                     |
-| word_count               | integer | The number of words seperated by spaces.                                                                                                                                                   |
+| word_count               | integer | The number of words separated by spaces.                                                                                                                                                   |
 | num_tokens_bert          | integer | The number of tokens using [BertTokenizer](https://huggingface.co/docs/transformers/model_doc/bert#transformers.BertTokenizer)                                                             |
 | num_tokens_gpt           | integer | The number of tokens using [GPT2TokenizerFast](https://huggingface.co/docs/transformers/model_doc/gpt2#transformers.GPT2TokenizerFast)                                                     |
 | num_faces                | integer | The number of faces in the image detected by [SCRFD](https://insightface.ai/scrfd)                                                                                                         |
@@ -138,19 +138,19 @@ Similar to most vision-and-language datasets, our primary goal in the data creat
 
 #### Initial Data Collection and Normalization
 
-We collected about 10 billion pairs of alt-text and image source in HTML documents in [CommonCrawl](https://commoncrawl.org/) from Oct. 2020 to Aug. 2021. and eliminated uninformative pairs through the image and/or text level filtering process with minimal cost.
+We collected about 10 billion pairs of alt-text and image sources in HTML documents in [CommonCrawl](https://commoncrawl.org/) from Oct. 2020 to Aug. 2021. and eliminated uninformative pairs through the image and/or text level filtering process with minimal cost.
 
 **Image Level**
 * Include all image formats that Pillow library can decode
 * Less than 5KB image size are dropped
-* Images with aspect ratio is greater than 3.0 are dropped
+* Images with an aspect ratio greater than 3.0 are dropped
 * Images with min(width, height) < 200 are dropped
 * Images are dropped if the score of [OpenNSFW2](https://github.com/yahoo/open_nsfw) or [GantMan/NSFW](https://github.com/GantMan/nsfw_model) is higher than 0.5
 * Based on the image [pHash](http://www.phash.org/) value, we removed all duplicate images from external public datasets.
   (ImageNet-1K/21K, Flickr-30K, MS-COCO, CC-3M, CC-12M)
 
 **Text Level**
-* We collected only english text using [cld3](https://github.com/google/cld3)
+* We collected only English text using [cld3](https://github.com/google/cld3)
 * Consecutive whitespace characters are replaced with a single whitespace and whitespace before and after the sentence are removed
   (e.g. `"\n            \n                Load image into Gallery viewer, valentine&amp;#39;s day roses\n            \n" → "Load image into Gallery viewer, valentine&amp;#39;s day roses"`)
 * Any text with a length of 5 or less has been dropped