Update NeoCorpus dataset card

README.md

@@ -1,36 +1,120 @@
 ---
-dataset_info:
-  config_name: foundation
-  features:
-  - name: doc_id
-    dtype: string
-  - name: text
-    dtype: string
-  - name: source
-    dtype: string
-  - name: source_shard
-    dtype: string
-  - name: token_count
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 5736819606
-    num_examples: 1889952
-  - name: validation
-    num_bytes: 15416446
-    num_examples: 5000
-  - name: test
-    num_bytes: 60512810
-    num_examples: 20000
-  download_size: 3308591684
-  dataset_size: 5812748862
-configs:
-- config_name: foundation
-  data_files:
-  - split: train
-    path: foundation/train-*
-  - split: validation
-    path: foundation/validation-*
-  - split: test
-    path: foundation/test-*
+language:
+- en
+pretty_name: NeoCorpus
+task_categories:
+- text-generation
+tags:
+- pretraining
+- language-modeling
+- english
 ---
+# NeoCorpus
+
+**NeoCorpus** is a multi-stage pretraining corpus for the NeoLM
+family of decoder-only language models trained from scratch.
+
+## Available Configurations
+
+| Configuration | Description | Status |
+|---|---|---|
+| `foundation` | General-purpose foundation pretraining | Available |
+| `specialized` | Specialized continued pretraining | Planned |
+| `decay` | Final high-quality pretraining | Planned |
+
+## Foundation Dataset
+
+The `foundation` configuration contains an English-language subset
+derived from Andrej Karpathy's globally shuffled NVIDIA Nemotron-ClimbMix.
+
+### Dataset Statistics
+
+| Split | Documents |
+|---|---:|
+| Train | 1,889,952 |
+| Validation | 5,000 |
+| Test | 20,000 |
+| **Total** | **1,914,952** |
+
+### Token Statistics
+
+Estimated using the previous NeoLM ByteLevel BPE tokenizer
+(vocabulary size 32,000), including one planned EOS per document.
+
+| Split | Estimated Tokens |
+|---|---:|
+| Train | 1,199,827,981 |
+| Validation | 3,223,381 |
+| Test | 12,650,844 |
+
+Final token counts will be recalculated using the tokenizer
+trained for the next NeoLM model.
+
+### Source and Provenance
+
+- Original corpus: [NVIDIA Nemotron-ClimbMix](https://huggingface.co/datasets/nvidia/Nemotron-ClimbMix)
+- Shuffled source: [karpathy/climbmix-400b-shuffle](https://huggingface.co/datasets/karpathy/climbmix-400b-shuffle)
+- Source revision: `915333b4f8b8684f39aeaafea600fea6f43fb703`
+- Collection seed: `1337`
+- Collection method: sequential traversal of globally shuffled source shards
+
+NeoCorpus is an independent derivative dataset, not affiliated
+with NVIDIA or Andrej Karpathy.
+
+### Data Preparation
+
+1. Stream documents from the pinned source revision.
+2. Strip edge whitespace while retaining internal formatting.
+3. Filter empty documents and lengths outside 100–100,000 characters.
+4. Exclude reserved tokenizer markers.
+5. Reserve 5,000 validation and 20,000 test documents.
+6. Collect approximately 1.2 billion training tokens.
+7. Remove exact-text duplicates from the training set,
+   prioritizing validation and test holdouts.
+8. Preserve provenance and estimated token counts.
+
+483 training documents were removed by exact deduplication.
+Near-duplicate deduplication was not performed.
+
+### Features
+
+| Field | Description |
+|---|---|
+| `doc_id` | Stable document identifier |
+| `text` | Document content |
+| `source` | Original dataset identifier |
+| `source_shard` | Original source shard |
+| `token_count` | Estimated tokens including planned EOS |
+
+## Usage
+
+    from datasets import load_dataset
+
+    ds = load_dataset(
+        "MaagDeveloper/NeoCorpus",
+        "foundation",
+        split="train",
+    )
+
+The next NeoLM tokenizer will be trained on the training split only.
+
+## Limitations
+
+The dataset may contain factual errors, biases, unsafe text,
+personally identifiable information, and near-duplicates.
+It has not undergone exhaustive manual quality review.
+
+Source licensing and redistribution obligations require review
+before public release.
+
+## Attribution
+
+NeoCorpus builds upon NVIDIA Nemotron-ClimbMix and
+Andrej Karpathy's shuffled ClimbMix dataset used for nanochat.
+
+- [NVIDIA Nemotron-ClimbMix](https://huggingface.co/datasets/nvidia/Nemotron-ClimbMix)
+- [Karpathy ClimbMix Shuffle](https://huggingface.co/datasets/karpathy/climbmix-400b-shuffle)
+- [nanochat](https://github.com/karpathy/nanochat)
+
+This project is independent and is not officially affiliated
+with NVIDIA or Andrej Karpathy.