Fixing plotting and data instances

README.md

@@ -430,12 +430,12 @@ Each entry in the dataset consists of a single text with associated metadata
 <!-- START-SAMPLE -->
 ```py
 {
-  "id": "adl_aakjaer06val",
-  "text": "SAMLEDE VÆRKER\n\nJEPPE AAKJÆR GYLDENDALSKE BOGHANDEL - NORDISK FORLAG KJØBENHAVN OG\nKRISTIANIA 1919 0[...]",
-  "source": "adl",
-  "added": "2020-09-14",
-  "created": "1700-01-01, 2022-01-01",
-  "token_count": 439908
+  "id": "digibok_2009033103031",
+  "text": "P. FR. RIST. OLAF RYES SAGA. OPTEGNELSER, DAGBØGER OG BREVE. DET NORDISKE FORLAG. Denne Bog søger at[...]",
+  "source": "ncc_books",
+  "added": "2025-05-08",
+  "created": "1899-01-01, 1899-12-31",
+  "token_count": 192301
 }
 ```
 

images/dataset_size_plot.html

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src/dynaword/datasheet.py

@@ -121,7 +121,13 @@ class DataSheet(BaseModel):
     def get_dataset(self, **kwargs) -> Dataset:
         ds_path = self.path.parent
         # required to avoid loading .png files for the images/ folder (e.g. for plots) instead of parquet files
-        parquet_files = [p.as_posix() for p in ds_path.glob("**/*.parquet")]
+        ignore_dirs = {".venv", "tmp"}  # add more if needed
+
+        parquet_files = [
+            p.as_posix()
+            for p in ds_path.glob("**/*.parquet")
+            if not any(ignored in p.parts for ignored in ignore_dirs)
+        ]
         ds = load_dataset(
             ds_path.as_posix(), split="train", data_files=parquet_files, **kwargs
         )

src/dynaword/plots/plots_dataset_size.py

@@ -100,9 +100,17 @@ def plot_dataset_size(df: pd.DataFrame) -> go.Figure:
         xaxis_title="Number of Tokens (log scale)",
         xaxis_type="log",
         yaxis_title="Dataset",
-        height=500,
+        height=len(df["dataset_name"]) * 20,  # Scaling based on number of datasets
         template="plotly_white",
         margin=dict(l=120),  # More space for dataset names
+        yaxis=dict(
+            tickmode="array",
+            tickvals=df["dataset_name"],
+            ticktext=df["pretty_name"],
+            categoryorder="array",  # keep dataset order
+            categoryarray=df["dataset_name"].tolist(),
+            range=[-0.5, len(df["dataset_name"]) - 0.5],  # <-- fixes top/bottom padding
+        ),
     )
 
     return fig

src/dynaword/update_descriptive_statistics.py

@@ -19,6 +19,7 @@ from dynaword.datasheet import DataSheet
 from dynaword.descriptive_stats import DescriptiveStatsOverview
 from dynaword.paths import repo_path
 from dynaword.plots.plot_tokens_over_time import create_tokens_over_time_plot
+from dynaword.plots.plots_dataset_size import create_dataset_size_plot
 from dynaword.tables import (
     create_grouped_table_str,
     create_overview_table,
@@ -112,6 +113,7 @@ def update_dataset(
         sheet.body = sheet.replace_tag(package=domain_table, tag="LICENSE TABLE")
         create_domain_distribution_plot()
         create_tokens_over_time_plot()
+        create_dataset_size_plot()
 
     sheet.write_to_path()