Consistent README with dataset card

README.md

@@ -1,38 +1,39 @@
 ---
 license: cc-by-4.0
 task_categories:
-- tabular-regression
-- tabular-classification
+  - tabular-regression
+  - tabular-classification
 tags:
-- gwas
-- summary-statistics
-- psychiatric-genomics
-- pgc
-- adhd
-- mental-health
-- genetics
-- genomics
-pretty_name: PGC Attention Deficit Hyperactivity Disorder GWAS Summary Statistics
+  - gwas
+  - summary-statistics
+  - psychiatric-genomics
+  - pgc
+  - adhd
+  - mental-health
+  - genetics
+  - genomics
+pretty_name: >-
+  PGC Attention Deficit Hyperactivity Disorder GWAS Summary Statistics
 size_categories:
-- 1M-10M
+  - 1M-10M
 configs:
-- config_name: adhd2010
-  data_files:
-  - split: train
-    path: data/adhd2010/*.parquet
-  default: true
-- config_name: adhd2018_SexSpecific
-  data_files:
-  - split: train
-    path: data/adhd2018_SexSpecific/*.parquet
-- config_name: adhd2019
-  data_files:
-  - split: train
-    path: data/adhd2019/*.parquet
-- config_name: adhd2022
-  data_files:
-  - split: train
-    path: data/adhd2022/*.parquet
+  - config_name: adhd2010
+    default: true
+    data_files:
+      - split: train
+        path: data/adhd2010/*.parquet
+  - config_name: adhd2018_SexSpecific
+    data_files:
+      - split: train
+        path: data/adhd2018_SexSpecific/*.parquet
+  - config_name: adhd2019
+    data_files:
+      - split: train
+        path: data/adhd2019/*.parquet
+  - config_name: adhd2022
+    data_files:
+      - split: train
+        path: data/adhd2022/*.parquet
 ---
 
 # PGC Attention Deficit Hyperactivity Disorder — GWAS Summary Statistics
@@ -43,75 +44,67 @@ configs:
 
 Genome-wide association study (GWAS) summary statistics for **Attention Deficit Hyperactivity Disorder** phenotypes from the [Psychiatric Genomics Consortium (PGC)](https://pgc.unc.edu/).
 
-This dataset contains multiple GWAS publications as separate subsets (configs). Each can be loaded independently.
+Each publication is available as a separate subset (config) and can be loaded independently.
 
 ## Usage
 
 ```python
 from datasets import load_dataset
 
-# Load a specific GWAS (e.g., adhd2010)
+# Load a specific GWAS
 ds = load_dataset("OpenMed/pgc-adhd", "adhd2010")
 print(ds)
 ```
 
-### Available Configs
+### List all available subsets
 
 ```python
 from datasets import get_dataset_config_names
-configs = get_dataset_config_names("OpenMed/pgc-adhd")
-print(configs)
+print(get_dataset_config_names("OpenMed/pgc-adhd"))
 ```
 
-## Subsets (Publications)
+## Subsets
 
-| Config | Phenotype | Journal | Year | PubMed | Rows | License |
-|--------|-----------|---------|------|--------|------|---------|
-| `adhd2010` | ADHD | JAACAP | 2010 | [20732625](https://pubmed.ncbi.nlm.nih.gov/20732625/) | — | CC BY 4.0 |
-| `adhd2018_SexSpecific` | ADHD (Sex-Specific) | Biological Psychiatry | 2018 | [29325848](https://pubmed.ncbi.nlm.nih.gov/29325848/) | 15,161,955 | CC BY 4.0 |
-| `adhd2019` | ADHD | Nature Genetics | 2019 | [30478444](https://pubmed.ncbi.nlm.nih.gov/30478444/) | 8,094,094 | CC BY 4.0 |
-| `adhd2022` | ADHD | Nature Genetics | 2022 | [36702997](https://pubmed.ncbi.nlm.nih.gov/36702997/) | — | CC BY 4.0 |
+| Config | Phenotype | Journal | Year | PubMed | Rows |
+|--------|-----------|---------|------|--------|------|
+| `adhd2010` | ADHD | JAACAP | 2010 | [20732625](https://pubmed.ncbi.nlm.nih.gov/20732625/) | — |
+| `adhd2018_SexSpecific` | ADHD (Sex-Specific) | Biological Psychiatry | 2018 | [29325848](https://pubmed.ncbi.nlm.nih.gov/29325848/) | — |
+| `adhd2019` | ADHD | Nature Genetics | 2019 | [30478444](https://pubmed.ncbi.nlm.nih.gov/30478444/) | — |
+| `adhd2022` | ADHD | Nature Genetics | 2022 | [36702997](https://pubmed.ncbi.nlm.nih.gov/36702997/) | — |
 
 ## Data Format
 
-All data has been converted to **Apache Parquet** format with shards of 10,000 rows. Common columns include:
+All data is stored as **Apache Parquet** shards (10,000 rows each). Common columns:
 
 | Column | Description |
 |--------|-------------|
 | `SNP` / `ID` | SNP rsID or variant identifier |
 | `CHR` | Chromosome |
 | `BP` / `POS` | Base-pair position (typically GRCh37/hg19) |
-| `A1` / `ALT` | Effect allele |
-| `A2` / `REF` | Non-effect (reference) allele |
+| `A1` | Effect allele |
+| `A2` | Non-effect allele |
 | `OR` / `BETA` | Odds ratio or effect size |
 | `SE` | Standard error |
 | `P` | P-value |
-| `INFO` | Imputation quality score |
-| `FRQ` / `MAF` | Allele frequency |
 | `_source_file` | Original source filename |
 
-> **Note:** Column names vary between publications. The `_source_file` column tracks the original file each row came from.
+> Column names vary between publications. Check each subset's schema.
 
 ## Citation
 
-When using any subset, please cite:
+Please cite the original publication (see PubMed links above) and acknowledge the PGC:
 
-1. The **original publication** (see PubMed links above)
-2. The **data DOI** from Figshare (see supplementary metadata)
-3. **Acknowledge the PGC:**
-   > "Data were obtained from the Psychiatric Genomics Consortium — https://pgc.unc.edu/"
+> Data were obtained from the Psychiatric Genomics Consortium — https://pgc.unc.edu/
 
 ## Terms of Use
 
-This dataset is released under the **[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)** license.
+Released under **[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)**.
 
-By using PGC summary statistics you agree to:
-
-1. Cite the original publication(s)
-2. Not attempt to re-identify individual participants
-3. Comply with the PGC's [data use policies](https://pgc.unc.edu/for-researchers/data-access/)
+- Cite the original publication(s)
+- Do not attempt to re-identify individual participants
+- Comply with the PGC [data use policies](https://pgc.unc.edu/for-researchers/data-access/)
 
 ## Source
 
-- **Consortium:** [Psychiatric Genomics Consortium (PGC)](https://pgc.unc.edu/)
-- **PGC Downloads:** [pgc.unc.edu/for-researchers/download-results/](https://pgc.unc.edu/for-researchers/download-results/)
+- [Psychiatric Genomics Consortium (PGC)](https://pgc.unc.edu/)
+- [PGC Downloads](https://pgc.unc.edu/for-researchers/download-results/)