Update README.md

README.md

@@ -1851,15 +1851,24 @@ task_ids: []
 
 ## Dataset Description
 
-- **Point of Contact: Aman Khan**
+- **Point of Contact: Lefteris Loukas**
 
 ### Dataset Summary
 
-This dataset contains annual report of public companinies from 1993-2020 from SEC EDGAR filings. The dataset is based on the paper **EDGAR-CORPUS: Billions of Tokens Make The World Go Round** authored by _Leftris Loukas et.al_ (refer to References for more details). The dataset is provided as a convenience to access via HF Hub.
+This dataset card is based on the paper **EDGAR-CORPUS: Billions of Tokens Make The World Go Round** authored by _Lefteris Loukas et.al_, as published in the _ECONLP 2021_ workshop.
+
+This dataset contains annual report of public companies from 1993-2020 from SEC EDGAR filings. 
+
+You may want to use this dataset to pre-train an ML/NLP model.
+
+There is supported functionality to load a specific year.
+
+If you wish to load specific year(s) of specific companies, you probably want to use the software which generated this dataset, EDGAR-CRAWLER: https://github.com/nlpaueb/edgar-crawler.
 
 ### Supported Tasks
 
-This is a raw dataset meant to provide a base for financial NLP. It has to be adapted for specific NLP tasks. As such there are no annotations or labels. The datasets need further processing for specific NLP tasks.
+This is a raw dataset/corpus for financial NLP. 
+As such, there are no annotations or labels. 
 
 ### Languages
 
@@ -1869,7 +1878,7 @@ The EDGAR Filings are in English.
 
 ### Data Instances
 
-Refer to dataset preview.
+Refer to the dataset preview.
 
 ### Data Fields
 
@@ -1901,10 +1910,12 @@ Refer to dataset preview.
 import datasets
 
 # Load the entire dataset
-raw_dataset = datasets.load_dataset("JanosAudran/edgar_corpus", "full")
+raw_dataset = datasets.load_dataset("eloukas/edgar-corpus", "full")
 
 # Load a specific year and split
-raw_dataset = datasets.load_dataset("JanosAudran/edgar_corpus", "year_1993", split="train")
+year_1993_training_dataset = datasets.load_dataset("eloukas/edgar-corpus", "year_1993", split="train")
+
+# Since this is a corpus dataset, different splits do not have any special meaning. It's the default HF card format to have train/val/split sets.
 ```
 
 ### Data Splits
@@ -1987,8 +1998,17 @@ The dataset needs further cleaning for improved performance.
 
 EDGAR data is publicly available.
 
+### Shoutout 
+Huge shoutout to @JanosAudran (https://huggingface.co/JanosAudran) for the HF Card setup!
+
 ### References
 
-- Lefteris Loukas, Manos Fergadiotis, Ion Androutsopoulos, & Prodromos Malakasiotis. (2021). EDGAR-CORPUS [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5589195
+- [Research Paper] Lefteris Loukas, Manos Fergadiotis, Ion Androutsopoulos, and, Prodromos Malakasiotis. EDGAR-CORPUS: Billions of Tokens Make The World Go Round. Third Workshop on Economics and Natural Language Processing (ECONLP). https://arxiv.org/abs/2109.14394 - Punta Cana, Dominican Republic, November 2021. 
+
+- [Software] Lefteris Loukas, Manos Fergadiotis, Ion Androutsopoulos, and, Prodromos Malakasiotis. EDGAR-CRAWLER. https://github.com/nlpaueb/edgar-crawler (2021)
+
+- [EDGAR-CORPUS, but in zip files] EDGAR-CORPUS: A corpus for financial NLP research, built from SEC's EDGAR - https://zenodo.org/record/5528490 (2021)
+
+‌- [Word Embeddings] EDGAR-W2V: Word2vec Embeddings trained on EDGAR-CORPUS - https://zenodo.org/record/5524358 (2021)
 
-- Loukas, Lefteris & Fergadiotis, Manos & Androutsopoulos, Ion & Malakasiotis, Prodromos. (2021). EDGAR-CORPUS: Billions of Tokens Make The World Go Round. https://arxiv.org/abs/2109.14394v2
+- [Applied Research paper where EDGAR-CORPUS is used] Lefteris Loukas, Manos Fergadiotis, Ilias Chalkidis, Eirini Spyropoulou, Prodromos Malakasiotis, Ion Androutsopoulos, and, George Paliouras. FiNER: Financial Numeric Entity Recognition for XBRL Tagging. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). https://doi.org/10.18653/v1/2022.acl-long.303 (2022)