add information as per template as far as dataset structure

README.md

@@ -224,4 +224,26 @@ dataset_info:
 ---
 # Dataset Card for "open-lid-dataset"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+## Dataset Description
+
+- **Repository:** [https://github.com/laurieburchell/open-lid-dataset]()
+- **Paper:** [An Open Dataset and Model for Language Identification](https://aclanthology.org/2023.acl-short.75/)
+- **Point of Contact:** laurie.burchell AT ed.ac.uk
+
+### Dataset Summary
+
+The OpenLID dataset covers 201 languages and is designed for training language identification models. The majority of the source datasets were derived from news sites, Wikipedia, or religious text, though some come from other domains (e.g. transcribed conversations, literature, or social media). A sample of each language in each source was manually audited to check it was in the attested language (see [the paper](https://aclanthology.org/2023.acl-short.75/)) for full details.
+
+### Supported tasks
+This dataset is intended for training high-coverage language identification models (e.g. [OpenLID](https://huggingface.co/laurievb/OpenLID)). It is compatible with the [FLORES-200](https://github.com/facebookresearch/flores/tree/main/flores200) evaluation benchmark.
+
+### Languages
+
+There are 201 languages included in the dataset with varying amounts of data: the largest class (English) contains 7.5 million lines of data, and the smallest (South Azerbaijani) contains 532 lines of data. The mean number of lines per language is 602,812. A full breakdown of lines of data per language is available [on the repo](https://github.com/laurieburchell/open-lid-dataset/blob/main/languages.md).
+
+## Dataset Structure
+
+Each entry in the dataset consists of a line of data, a language label included script information, and a tag indicating the source.
+```json
+{}
+```