Updated README

README.md

@@ -120,6 +120,49 @@ then, from within python load the datasets library
 
     >>> import datasets
 
-### Load model datasets
 
-To load one of the `PRIDE_Crosslinking_Archive` datasets, use `datasets.load_dataset(...)`
+### Load datasets
+
+To load one of the `PRIDE_Crosslinking_Archive` datasets, use `datasets.load_dataset(...)`
+
+>>> dataset = datasets.load_dataset(
+    path = "RosettaCommons/PRIDE_Crosslinking_Archive",
+    name = "data",
+    data_dir = "data")['XL_all']
+
+## Dataset Details
+
+### Dataset Description
+This dataset is a curated collection of crosslinking mass spectrometry (XL-MS) identifications sourced from PRIDE submissions and transformed into a consistent tabular format. Each record represents a single crosslink observation annotated with:
+  * Crosslinking reagent(e.g., DSS/BS3/DSBU, etc.)
+  * Crosslink type (inter-chain vs intra-chain)
+  * UniProt Accession IDs for each crosslinked protein
+  * Residue positions for the linked sites
+  * For intra-chain crosslinks, Cα-Cα distance, calculated from AlphaFold Database structures
+
+Alongside the full, merged table, the dataset includes inter/intra-chain splits, as well as per-crosslinker splits (one split per reagent). These splits should make it easy to analyze reagent-specific distance distributions and restraint behavior without additional filtering.
+
+Why AFDB distance mapping is included
+
+A large fraction of downstream XL-MS analysis involves asking whether observed links are structurally plausible under a given model and/or what they imply about conformational states. By projecting intra-chain links onto AFDB structures, this dataset provides a standardized starting point for:
+
+  * Comparing distance distributions across reagents
+
+  * Identifying long-distance outliers that may indicate flexible regions or alternate conformations
+
+  * Generating restraint sets for integrative modeling and benchmarking
+
+## Uses
+This dataset is intended to be used as a benchmark/calibration set for integrative modeling workflows. Included crosslinks can be used as a constraint set to evaluate predicted or refined models (AlphaFold/AlphaLink/integrative models) by measuring what fraction of links fall below chosen distance thresholds. 
+Long-distance outliers in this dataset can also be used to identify proteins/protein families in which contemporary structure prediction methods fail to recapitulate experimental observations.
+
+## Limitations
+This dataset does not contain all of the identified crosslinks in the PRIDE repository. Only links with valid UniProt identifiers were included in this set.
+
+
+
+### Source Data
+Crosslinks were obtained from the PRIDE Crosslinking Archive ([PRIDE](https://www.ebi.ac.uk/pride/archive/crosslinking)) 
+
+## Dataset Curator/Dataset Card Author
+Elijah Day (ehday@ucla.edu)