| --- |
| license: mit |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - pretraining |
| - reasoning |
| - chain-of-thought |
| - code |
| - instruct |
| - tool-calling |
| - chat |
| - think |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| # ITLL/Organized_PreTrain_WIUAI |
|
|
| **A clean, deduped, 4096-context pretrain-ready merge of 31 distillation datasets from 11-47 and WithinUsAI.** |
|
|
| All examples >4096 tokens were **100% trashed, never truncated**. Duplicates were removed globally across all sources. Outputs are grouped by category for curriculum pretraining. |
|
|
| - **Total Kept:** 1,372,185 examples |
| - **Total Dropped >4096:** 1,208 examples |
| - **Total Duplicates Dropped:** ~181k+ (including shard/monolith duplicates) |
| - **Context:** ≤4096 tokens (cl100k_base proxy, hard ceiling) |
| - **Dedup:** SHA256 of normalized lowercased text, global across all datasets |
| |
| ### Source Datasets (31) |
| |
| All audited recursively including subfolders `/data`, `.jsonl` / `.json` / `.parquet` / `.jsonl.gz` with automatic gzip sniffing. |
| |
| ``` |
| 11-47/god_agent_grok4.4_cot_traces_20k |
| 11-47/claude_opus_mythos_5k |
| 11-47/claude_opus_4.8_max_thinking_5k_v2 |
| 11-47/cluade_mythos_preview_5k_v2 |
| 11-47/claude_opus_4.8_distill_5k |
| 11-47/god_level_python_dataset_25k |
| 11-47/Royal_Ghost_Coder_500k |
| 11-47/AI_Fiends_4_This_50k |
| WithinUsAI/fable_5_distillation_merged_cleaned_25k |
| WithinUsAI/MiniMax_M2.7_Distilled_5k |
| WithinUsAI/Llama_4_Maverick_Distilled_5k |
| WithinUsAI/Meta_Muse_Spark_Distilled_5k |
| WithinUsAI/kimi_2.6_Thinking_Distilled_5k |
| WithinUsAI/Qwen3.7_Max_Thinking_dataset_5K |
| WithinUsAI/GLM_5.1_Thinking_Distilled_5k |
| WithinUsAI/DeepSeek_V4_Flash_distilled_dataset_5k |
| WithinUsAI/gemini_3.5_flash_distilled_25k |
| WithinUsAI/grok_frontier_dataset_v3_100k |
| WithinUsAI/microsoft_copilot_distilled_25k |
| WithinUsAI/DEEPMIND_Alpha_Distilled |
| WithinUsAI/claude_mythos_distilled_25k |
| WithinUsAI/Gemini_3.2_Pro_Distilled |
| WithinUsAI/GPT_5.5_Distilled |
| WithinUsAI/Grok_4.4_Distilled |
| WithinUsAI/claude_Opus_4.7_Distilled |
| WithinUsAI/Opus4.7_thinking_max_distill_god_seed_25k |
| WithinUsAI/GOD_Coder_Complete_DataSet |
| WithinUsAI/Omega_Genesis_Coder_100k |
| WithinUsAI/Elite_GOD_Coder_100k |
| WithinUsAI/python_GOD_coder_100k |
| WithinUsAI/GOD_Coder_100k |
| ``` |
| |
| ### Build Stats (from your Kaggle run) |
| |
| | Dataset | Kept | Dropped >4096 | Dropped Dupe | |
| |---|---|---:|---:| |
| | god_agent_grok4.4_cot_traces_20k | 11 | 0 | 19989 | |
| | claude_opus_mythos_5k | 24 | 0 | 4976 | |
| | claude_opus_4.8_max_thinking_5k_v2 | 4982 | 0 | 18 | |
| | cluade_mythos_preview_5k_v2 | 4986 | 0 | 14 | |
| | claude_opus_4.8_distill_5k | 5000 | 0 | 0 | |
| | god_level_python_dataset_25k | 276 | 0 | 24724 | |
| | Royal_Ghost_Coder_500k | 434124 | 0 | 67876 | |
| | AI_Fiends_4_This_50k | 50000 | 0 | 0 | |
| | fable_5_distillation_merged_cleaned_25k | 25146 | 573 | 0 | |
| | MiniMax_M2.7_Distilled_5k | 5000 | 0 | 0 | |
| | Llama_4_Maverick_Distilled_5k | 5000 | 0 | 0 | |
| | Meta_Muse_Spark_Distilled_5k | 545 | 0 | 4455 | |
| | kimi_2.6_Thinking_Distilled_5k | 5000 | 0 | 0 | |
| | Qwen3.7_Max_Thinking_dataset_5K | 5000 | 0 | 0 | |
| | GLM_5.1_Thinking_Distilled_5k | 4991 | 0 | 9 | |
| | DeepSeek_V4_Flash_distilled_dataset_5k | 5099 | 0 | 0 | |
| | gemini_3.5_flash_distilled_25k | 25000 | 0 | 0 | |
| | grok_frontier_dataset_v3_100k | 98938 | 0 | 1062 | |
| | microsoft_copilot_distilled_25k | 4596 | 0 | 20404 | |
| | DEEPMIND_Alpha_Distilled | 2297 | 0 | 1703 | |
| | claude_mythos_distilled_25k | 5315 | 0 | 19685 | |
| | Gemini_3.2_Pro_Distilled | 19896 | 7 | 0 | |
| | GPT_5.5_Distilled | 18013 | 184 | 0 | |
| | Grok_4.4_Distilled | 15386 | 256 | 0 | |
| | claude_Opus_4.7_Distilled | 28300 | 188 | 0 | |
| | Opus4.7_thinking_max_distill_god_seed_25k | 25000 | 0 | 0 | |
| | GOD_Coder_Complete_DataSet | 173860 | 0 | 1140 | |
| | Omega_Genesis_Coder_100k | 100100 | 0 | 0 | |
| | Elite_GOD_Coder_100k | 100100 | 0 | 0 | |
| | python_GOD_coder_100k | 100100 | 0 | 0 | |
| | GOD_Coder_100k | 100100 | 0 | 0 | |
| |
| ### Category Organization |
| |
| The builder classifies every kept example with this priority: |
| |
| 1. **Tool_Calling** - contains `tool_calls`, `function_call`, or `<tool_call` |
| 2. **Think** - contains `<think>...</think>` |
| 3. **Thought** - contains `<thought>...</thought>` (distinct from Think) |
| 4. **Reasoning** - CoT markers without think tags |
| 5. **Code_Instruct** - name hint `coder/code/python` |
| 6. **Chat** - multi-turn `messages/conversations` |
| 7. **Instruct** - everything else |
| |
| Output layout on Hub (add-only, never overwritten): |
| |
| ``` |
| Think/shard_00000.parquet |
| Think/shard_00001.parquet |
| ... |
| Thought/shard_00000.parquet |
| Reasoning/shard_00000.parquet |
| Code_Instruct/shard_00000.parquet |
| Code_Instruct/shard_00001.parquet |
| Instruct/shard_00000.parquet |
| Chat/shard_00000.parquet |
| Tool_Calling/shard_00000.parquet |
| ``` |
| |
| Each shard index is computed from the live repo listing, so re-running the builder never overwrites. |
| |
| ### Schema |
| |
| Each parquet row: |
| |
| - `text: string` - flattened training text, ≤4096 tokens, ready for pretraining |
| - `n_tokens: int` - token count via cl100k_base |
| - `category: string` - one of [Think, Thought, Reasoning, Code_Instruct, Tool_Calling, Chat, Instruct] |
| - `source_dataset: string` - original HF repo id |
| - `raw: string` - original record JSON (truncated to 20k chars) |
|
|
| ### How it was built (Kaggle-safe) |
|
|
| - Batch size 5 datasets at a time, deletes raw download after each dataset |
| - Metadata files (`manifest.json`, `dataset_infos.json`) skipped |
| - Monolith `train.jsonl` that duplicates shard family `train-00000-of-...jsonl` skipped |
| - Gzip magic byte sniffing (`0x1f8b`) for files misnamed as `.jsonl` |
| - Global dedup set rebuilt from existing Hub shards on every resume (Kaggle `/kaggle/working` is not durable) |
| - Uses `HF_TOKEN` from Kaggle Secrets label `ITLL` |
|
|
| ### Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # load everything |
| ds = load_dataset("ITLL/Organized_PreTrain_WIUAI") |
| |
| # load only code |
| code = load_dataset("ITLL/Organized_PreTrain_WIUAI", data_dir="Code_Instruct") |
| |
| # load Think + Reasoning for curriculum |
| think = load_dataset("ITLL/Organized_PreTrain_WIUAI", data_dir="Think") |
| reason = load_dataset("ITLL/Organized_PreTrain_WIUAI", data_dir="Reasoning") |
| |
| # pretrain streaming |
| from datasets import load_dataset |
| stream = load_dataset("ITLL/Organized_PreTrain_WIUAI", streaming=True, split="train") |
| for ex in stream: |
| print(ex["category"], ex["n_tokens"]) |
| ``` |
|
|
| ### Intended Use |
|
|
| Pretraining from scratch with strong reasoning / coding / thinking traces, up to 4k context. For best results, replace `cl100k_base` length check with your own tokenizer for final filtering. |
|
|
| ### Builder Code |
|
|
| Full Kaggle cell is stored in `builder.py` in this repo if you want to reproduce. Requires `huggingface_hub`, `pandas`, `pyarrow`, `tiktoken`. |
|
|
| ### License |
|
|
| MIT - inherits from source distillations. Please check original dataset licenses for commercial use. This is a cleaned aggregation for research. |
|
|
