Initialize Plaincode CNL dataset card

README.md

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+---
+pretty_name: Plaincode CNL 100k
+language:
+- code
+- en
+- es
+- fr
+- pt
+- zh
+- hi
+tags:
+- code
+- python
+- plaincode
+- controlled-natural-language
+- semantic-roundtrip
+size_categories:
+- 100K<n<1M
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*.jsonl.gz
+---
+
+# Plaincode CNL 100k
+
+This dataset is generated with Plaincode by streaming Python source files, projecting each accepted Python module/function into the current controlled-natural-language surfaces, and enforcing strict exact Python roundtrip proof for every emitted language.
+
+## Included surfaces
+
+- Python source
+- English CNL (`en`)
+- Spanish CNL (`es`)
+- French CNL (`fr`)
+- Portuguese CNL (`pt`)
+- Mandarin CNL (`zh`)
+- Hindi CNL (`hi`)
+
+## Acceptance gate
+
+A row is accepted only when every requested CNL surface reverses back to the exact original Python bytes through Plaincode proof:
+
+- `sha_exact_ok == true`
+- `char_exact_ok == true`
+- `byte_exact_ok == true`
+- `exact_ok == true`
+- `reverse_ast_ok == true`
+- `reverse_compile_ok == true`
+
+The public CNL fields must not contain private CST/proof transport markers.
+
+## Schema
+
+Each row contains:
+
+- `row_id`
+- `source`: Python code, sha256, counts, compile status, and source metadata
+- `plaincode_cnl`: `{lang: cnl_text}` for `en/es/fr/pt/zh/hi`
+- `roundtrip_python`: `{lang: recovered_python}`
+- `proof`: strict proof dictionary per language
+- `strict_exact_by_language`
+- `semantic_family`: AST-derived tags for diversity inspection
+- `row_sha256`
+
+## Generation stats
+
+```json
+{
+  "accepted_rows": 0,
+  "completed_shards": [],
+  "duplicates": 0,
+  "family_counts": {},
+  "filter_reasons": {},
+  "filtered_candidates": 0,
+  "hf_repo_id": "CircularBalls/plaincode-cnl-100k",
+  "languages": [
+    "en",
+    "es",
+    "fr",
+    "pt",
+    "zh",
+    "hi"
+  ],
+  "projection_failures": 0,
+  "run_id": "run_20260528_214053_utc",
+  "seen_candidates": 0,
+  "shards_completed": 0,
+  "source_label_counts": {},
+  "source_specs": [
+    {
+      "config": "Python-mit",
+      "dataset": "codeparrot/github-code-clean",
+      "enabled": true,
+      "label": "github_code_clean_python_mit",
+      "split": "train",
+      "trust_remote_code": false,
+      "weight": 4
+    },
+    {
+      "config": "Python-apache-2.0",
+      "dataset": "codeparrot/github-code-clean",
+      "enabled": true,
+      "label": "github_code_clean_python_apache_2_0",
+      "split": "train",
+      "trust_remote_code": false,
+      "weight": 3
+    },
+    {
+      "config": "Python-bsd-3-clause",
+      "dataset": "codeparrot/github-code-clean",
+      "enabled": true,
+      "label": "github_code_clean_python_bsd_3",
+      "split": "train",
+      "trust_remote_code": false,
+      "weight": 2
+    },
+    {
+      "config": "Python-bsd-2-clause",
+      "dataset": "codeparrot/github-code-clean",
+      "enabled": true,
+      "label": "github_code_clean_python_bsd_2",
+      "split": "train",
+      "trust_remote_code": false,
+      "weight": 2
+    },
+    {
+      "config": "Python-isc",
+      "dataset": "codeparrot/github-code-clean",
+      "enabled": true,
+      "label": "github_code_clean_python_isc",
+      "split": "train",
+      "trust_remote_code": false,
+      "weight": 1
+    },
+    {
+      "config": "Python-cc0-1.0",
+      "dataset": "codeparrot/github-code-clean",
+      "enabled": true,
+      "label": "github_code_clean_python_cc0",
+      "split": "train",
+      "trust_remote_code": false,
+      "weight": 1
+    }
+  ],
+  "started_utc": "2026-05-28T21:40:55+00:00",
+  "strict_gate_failures": 0,
+  "target_accepted_rows": 100000
+}
+```
+
+## Intended use
+
+Training/evaluating semantic projection, code-to-CNL, CNL-to-code, multilingual controlled-language alignment, and exact roundtrip experiments.
+
+## Source/license note
+
+Rows retain source metadata where available, including license fields exposed by upstream datasets. The default generator configuration prioritizes permissive-ish Python source configs. Review upstream licenses before redistribution or commercial use.