Convert dataset to Parquet (#2)

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README.md

@@ -9,6 +9,35 @@ tags:
 pretty_name: Explain XKCD
 size_categories:
 - 1K<n<10K
+dataset_info:
+  features:
+  - name: number
+    dtype: string
+  - name: date
+    dtype: string
+  - name: title
+    dtype: string
+  - name: before
+    dtype: string
+  - name: image
+    dtype: image
+  - name: titletext
+    dtype: string
+  - name: transcript
+    dtype: string
+  - name: explanation
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 183315711.73
+    num_examples: 2795
+  download_size: 226687075
+  dataset_size: 183315711.73
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
 ---
 
 # Dataset Card for Explain XKCD

images/1000_miles_north.png → data/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:318b6f6786d3b2e78e297c6f25c39fe52f4c67e1635b9a878761591f023f78fa
-size 92118
+oid sha256:7df70ee38a314ef119dc5ad729719ed295ea91afecc1b0134ed2d889070063d5
+size 226687075

explainxkcd.py

@@ -1,55 +0,0 @@
-import json
-import os
-import datasets
-
-class ExplainXKCD(datasets.GeneratorBasedBuilder):
-    """DatasetBuilder for Explain XKCD (JSONL + images)."""
-    VERSION = datasets.Version("1.0.0")
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="default",
-            version=VERSION,
-            description="Explain XKCD comics with image loading",
-        ),
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description="xkcd comics imported from JSONL with local image files",
-            features=datasets.Features({
-                "number":      datasets.Value("string"),
-                "date":        datasets.Value("string"),
-                "title":       datasets.Value("string"),
-                "before":      datasets.Value("string"),
-                "image":       datasets.Image(),    # will resolve local file paths
-                "titletext":   datasets.Value("string"),
-                "transcript":  datasets.Value("string"),
-                "explanation": datasets.Value("string"),
-            }),
-            supervised_keys=None,
-            homepage="https://www.explainxkcd.com/wiki/index.php/Main_Page",
-            citation="See repository licensing and citation information.",
-        )
-
-    def _split_generators(self, dl_manager):
-        # No remote download: assume both JSONL and images/ live in repo root
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "jsonl_path": "explainxkcd_2795.json",
-                    "images_dir": "images",
-                },
-            ),
-        ]
-
-    def _generate_examples(self, jsonl_path, images_dir):
-        """Yields examples as (key, example_dict)."""
-        with open(jsonl_path, encoding="utf-8") as f:
-            for idx, line in enumerate(f):
-                record = json.loads(line)
-                # Attach local image file path, if present
-                img_file = record.get("image")
-                if img_file:
-                    record["image"] = os.path.join(images_dir, img_file)
-                yield idx, record