Dataset card with named configs

README.md

@@ -54,26 +54,23 @@ IRexp is the largest **openly redistributable** collection of **experimental inf
 ```python
 from datasets import load_dataset
 
-# Full structure-linked corpus (43,060 records)
-ds = load_dataset("ilkhamfy/IRexp", data_files="data/irexp_resolved.jsonl.gz", split="train")
+# Structure-linked corpus (43,060 records)
+ds = load_dataset("ilkhamfy/IRexp", "resolved", split="train")
 
 row = ds[0]
 print(row["ir_bands_cm-1"][:5], row["smiles"][:40])
 ```
 
-For **fine-tuning without benchmark leakage**, use `train_no_bench.jsonl.gz` (not the legacy `irexp_release/train.jsonl.gz`, which overlaps 117/200 benchmark compounds):
+For **fine-tuning without benchmark leakage**, use the `train_no_bench` config:
 
 ```python
-ds = load_dataset("ilkhamfy/IRexp", data_files="data/train_no_bench.jsonl.gz", split="train")
+ds = load_dataset("ilkhamfy/IRexp", "train_no_bench", split="train")
 ```
 
-Or clone the GitHub repo / Zenodo deposit and read locally:
+Or load a file path directly:
 
 ```python
-import gzip, json
-
-with gzip.open("irexp_resolved.jsonl.gz", "rt") as f:
-    row = json.loads(f.readline())
+ds = load_dataset("ilkhamfy/IRexp", data_files="data/train_no_bench.jsonl.gz", split="train")
 ```
 
 ## Record schema