update doc

README.md

@@ -67,35 +67,9 @@ task_ids:
 
 ### Dataset Summary
 
-Elsevier OA CC-By Corpus: This is a corpus of 40k (40, 091) open access (OA) CC-BY articles from across Elsevier’s journals
+Elsevier OA CC-By Corpus: This is a corpus of 40k (40,091) open access (OA) CC-BY articles from across Elsevier’s journals
 representing a large scale, cross-discipline set of research data to support NLP and ML research.
 
-***docId*** The docID is the identifier of the document. This is unique to the document, and can be resolved into a URL
-for the document through the addition of `https//www.sciencedirect.com/science/pii/<docId>`
-
-***abstract*** This is the author provided abstract for the document
-body_text The full text for the document. The text has been split on sentence boundaries, thus making it easier to
-use across research projects. Each sentence has the title (and ID) of the section which it is from, along with titles (and
-IDs) of the parent section. The highest-level section takes index 0 in the parents array. If the array is empty then the
-title of the section for the sentence is the highest level section title. This will allow for the reconstruction of the article
-structure. References have been extracted from the sentences. The IDs of the extracted reference and their respective
-offset within the sentence can be found in the “refoffsets” field. The complete list of references are can be found in
-the “bib_entry” field along with the references’ respective metadata. Some will be missing as we only keep ‘clean’
-sentences,
-
-***bib_entities*** All the references from within the document can be found in this section. If the meta data for the
-reference is available, it has been added against the key for the reference. Where possible information such as the
-document titles, authors, and relevant identifiers (DOI and PMID) are included. The keys for each reference can be
-found in the sentence where the reference is used with the start and end offset of where in the sentence that reference
-was used.
-
-***metadata*** Meta data includes additional information about the article, such as list of authors, relevant IDs (DOI and
-PMID). Along with a number of classification schemes such as ASJC and Subject Classification.
-
-***Author_highlights*** Author highlights were included in the corpus where the author(s) have provided them. The
-coverage is 61% of all articles. The author highlights, consisting of 4 to 6 sentences, is provided by the author with
-the aim of summarising the core findings and results in the article.
-
 ### Supported Tasks and Leaderboards
 
 [More Information Needed]
@@ -105,14 +79,6 @@ the aim of summarising the core findings and results in the article.
 English (`en`).
 
 ## Dataset Structure
-
-* ***title***:This is the author provided title for the document. 100% coverage.
-* ***abstract***: This is the author provided abstract for the document. 99.25% coverage.
-* ***keywords***: This is the author and publisher provided keywords for the document. 100% coverage.
-* ***asjc***: This is the disciplines for the document as represented by 334 ASJC (All Science Journal Classification) codes. 100% coverage.
-* ***subjareas***: This is the Subject Classification for the document as represented by 27 ASJC top-level subject classifications. 100% coverage.
-* ***body_text***: The full text for the document. 100% coverage.
-* ***author_highlights***: This is the author provided highlights for the document. 61.31% coverage.
     
 ### Data Instances
 
@@ -198,9 +164,41 @@ The original dataset was published with the following json structure:
 }
 ```
 
+***docId*** The docID is the identifier of the document. This is unique to the document, and can be resolved into a URL
+for the document through the addition of `https//www.sciencedirect.com/science/pii/<docId>`
+
+***abstract*** This is the author provided abstract for the document
+body_text The full text for the document. The text has been split on sentence boundaries, thus making it easier to
+use across research projects. Each sentence has the title (and ID) of the section which it is from, along with titles (and
+IDs) of the parent section. The highest-level section takes index 0 in the parents array. If the array is empty then the
+title of the section for the sentence is the highest level section title. This will allow for the reconstruction of the article
+structure. References have been extracted from the sentences. The IDs of the extracted reference and their respective
+offset within the sentence can be found in the “refoffsets” field. The complete list of references are can be found in
+the “bib_entry” field along with the references’ respective metadata. Some will be missing as we only keep ‘clean’
+sentences,
+
+***bib_entities*** All the references from within the document can be found in this section. If the meta data for the
+reference is available, it has been added against the key for the reference. Where possible information such as the
+document titles, authors, and relevant identifiers (DOI and PMID) are included. The keys for each reference can be
+found in the sentence where the reference is used with the start and end offset of where in the sentence that reference
+was used.
+
+***metadata*** Meta data includes additional information about the article, such as list of authors, relevant IDs (DOI and
+PMID). Along with a number of classification schemes such as ASJC and Subject Classification.
+
+***Author_highlights*** Author highlights were included in the corpus where the author(s) have provided them. The
+coverage is 61% of all articles. The author highlights, consisting of 4 to 6 sentences, is provided by the author with
+the aim of summarising the core findings and results in the article.
+
 ### Data Fields
 
-[More Information Needed]
+* ***title***: This is the author provided title for the document. 100% coverage.
+* ***abstract***: This is the author provided abstract for the document. 99.25% coverage.
+* ***keywords***: This is the author and publisher provided keywords for the document. 100% coverage.
+* ***asjc***: This is the disciplines for the document as represented by 334 ASJC (All Science Journal Classification) codes. 100% coverage.
+* ***subjareas***: This is the Subject Classification for the document as represented by 27 ASJC top-level subject classifications. 100% coverage.
+* ***body_text***: The full text for the document. 100% coverage.
+* ***author_highlights***: This is the author provided highlights for the document. 61.31% coverage.
 
 ### Data Splits
 
@@ -210,8 +208,6 @@ The original dataset was published with the following json structure:
 
 ### Curation Rationale
 
-See `3.1 Data Sampling` in the [original paper](https://doi.org/10.48550/arXiv.2008.00774).
-
 [More Information Needed]
 
 ### Source Data
@@ -220,11 +216,11 @@ See `3.1 Data Sampling` in the [original paper](https://doi.org/10.48550/arXiv.2
 
 Date the data was collected:	2020-06-25T11:00:00.000Z
 
-[More Information Needed]
+See the [original paper](https://doi.org/10.48550/arXiv.2008.00774) for more detail on the data collection process.
 
 #### Who are the source language producers?
 
-[More Information Needed]
+See `3.1 Data Sampling` in the [original paper](https://doi.org/10.48550/arXiv.2008.00774).
 
 ### Annotations