Update README.md

README.md

@@ -6,4 +6,70 @@ tags:
 - medical
 size_categories:
 - 100K<n<1M
----
+---
+
+Meta data for PMC-Patients that might facilitate reproduction or usage of our dataset, consisting of the following files (most of which can be derived from our main files above).
+
+## PMIDs.json
+
+PMIDs of articles from which PMC-Patients are extracted.
+List of string, length 140,897.
+
+## train_PMIDs.json & dev_PMIDs.json & test_PMIDs.json
+
+PMIDs of articles in training / dev / test split.
+List of string.
+
+## train_patient_uids.json & dev_patient_uids.json & test_patient_uids.json
+
+Patient_uids of notes in training / dev / test split.
+List of string.
+
+## patient2article_relevance.json
+
+Full patient-to-article dataset.
+A dict where the keys are `patient_uid` of queries and each entry is a list of `PMID`, representing articles relevant to the query.
+
+The 3-point relevance can be obtained by checking whether the `PMID` is in `PMIDs.json`.
+
+## patient2patient_similarity.json
+
+Full patient-to-patient similarity dataset.
+A dict where the keys are `patient_uid` of queries and each entry is a list of `patient_uid`, representing similar patients to the query.
+
+The 3-point similarity can be obtained by checking whether the similar patient share the `PMID` (the string before '-' in `patient_uid`) with the query patient.
+
+
+## PMID2Mesh.json
+
+Dict of PMIDs to MeSH terms of the article.
+
+## MeSH_Humans_patient_uids.json
+
+`patient_uid` of the patients in PMC-Patients-Humans (extracted from articles with "Humans" MeSH term).
+List of string.
+
+## PMC-Patients_citations.json
+
+Citations for all articles we used to collect our dataset.
+A dict where the keys are `patient_uid` and each entry is the citation of the source article.
+
+## human_PMIDs.json
+
+PMIDs of the 500 randomly sampled articles for human evaluation.
+List of string.
+
+## PMC-Patients_human_eval.json
+
+Expert annotation results of the 500 articles in `human_PMIDs.json`, including manually annotated patient note, demographics, and relations of the top 5 retrieved articles / patients.
+List of dict, and the keys are almost identical to `PMC-Patients.json`, with the exception of `human_patient_id` and `human_patient_uid`.
+
+The relational annotations are different from automatic ones. They are strings indicating on which dimension(s) are the patient-article / patient-patient pair relevant / similar. 
+"0", "1", "2", and "3" represent "Irrelevant", "Diagnosis", "Test", "Treatment" in ReCDS-PAR, and represent "Dissimilar", "Features", "Outcomes", "Exposure" in ReCDS-PPR.
+Note that a pair can be relevant / similar on multiple dimensions at the same time.
+
+## PAR_PMIDs.json
+
+PMIDs of the 11.7M articles used as PAR corpus.
+List of string.
+