Dataset card

README.md

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+---
+license: cc-by-4.0
+task_categories:
+  - text-generation
+language:
+  - en
+tags:
+  - dclm
+  - synthetic-data
+  - pretraining
+  - format-aware
+pretty_name: DCLM Cross-Over Source
+---
+
+# DCLM Cross-Over Source
+
+Subset of [DCLM-Baseline](https://huggingface.co/datasets/mlfoundations/dclm-baseline-1.0)
+selected for synthetic augmentation with format-aware prompt routing.
+
+## Selection
+
+- Picked every 3th shard (3 of 27938 shards)
+- Word count filter: 50-8000
+- Per-site cap: 10,000
+- Format detection: skip prompts that duplicate native document format
+
+## Stats
+
+| Metric | Value |
+|--------|-------|
+| Source docs scanned | 255,841 |
+| Selected | 251,661 |
+| Total words | 196,694,035 |
+| Avg words/doc | 781 |
+| Length filtered | 4,180 |
+| Site capped | 0 |
+| All formats native | 0 |
+| Output shards | 3 |
+
+## Prompt Applicability
+
+| Prompt | Applicable | Would Skip |
+|--------|-----------|------------|
+| FAQ | 250,245 | 1,416 |
+| Math | 250,428 | 1,233 |
+| Table | 251,632 | 29 |
+| Tutorial | 239,300 | 12,361 |
+
+## Schema
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `id` | str | Stable hash |
+| `text` | str | Document text |
+| `url` | str | Source URL |
+| `quality_score` | float | DCLM fastText score |
+| `word_count` | int | Word count |
+| `apply_prompts` | str (JSON list) | Prompts to run |
+| `skip_prompts` | str (JSON list) | Prompts to skip |
+| `num_applicable_prompts` | int | How many prompts apply |
+
+## Usage
+
+```python
+from datasets import load_dataset
+import json
+
+ds = load_dataset("essobi/dclm-crossover-source", split="train")
+
+# Docs for FAQ prompt only
+faq_docs = ds.filter(lambda x: "faq" in json.loads(x["apply_prompts"]))
+
+# Docs suitable for all 4 prompts (best megadoc candidates)
+full = ds.filter(lambda x: x["num_applicable_prompts"] == 4)
+```
+
+## License
+
+CC-BY-4.0