Update dataset card

README.md

@@ -19,6 +19,8 @@ tags:
 
 This is an archive distribution, not a row-based Hugging Face Datasets builder; download and extract it instead of using `datasets.load_dataset()` or the Dataset Viewer. Its main payload is `uint32` token-ID streams, with aligned label masks for the post-training stages. Extraction reconstructs a data-root directory that the corresponding OLMo-core training recipes can load directly.
 
+All token-ID streams use the 100,278-entry OLMo 3 tokenizer family. Stages 1-3 and Eval use [`allenai/dolma2-tokenizer`](https://huggingface.co/allenai/dolma2-tokenizer); [OLMo-core documents](https://github.com/allenai/OLMo-core/blob/14b15cc2d836a37bc47b4824ed6b542b39a2632c/src/olmo_core/data/mixes/__init__.py#L92-L104) that the `allenai/dolma3-tokenizer` name in the Stage 2/3 paths is the same tokenizer. Stages 4-5 use [`allenai/olmo-3-tokenizer-instruct-dev@55f211d`](https://huggingface.co/allenai/olmo-3-tokenizer-instruct-dev/tree/55f211dfda3974963b869e490617447045069a64), see details below.
+
 ## Layout
 
 Layout of this Hugging Face repository:
@@ -65,13 +67,37 @@ Layout after extraction:
     └── perplexity/v3_small_dolma2-tokenizer/...  # Eval (Stages 1 and 2)
 ```
 
+## Download
+
+```bash
+pip install -U huggingface_hub
+
+repo_id=ArchSpace-Collection/OLMo3-1B-Dataset
+hf download "$repo_id" --repo-type dataset --local-dir ./olmo3-hf
+```
+
+For a single training stage, download only the required archive groups plus this README and the extraction script. Stage 1 and Stage 2 configurations also use the perplexity-evaluation data:
+
+```bash
+hf download "$repo_id" --repo-type dataset --local-dir ./olmo3-hf \
+  --include README.md extract.sh 'archives/stage1/*' 'archives/eval/*'
+# modify `stage1` for other stages
+```
+
+## Extract into an OLMo data root
+
+```bash
+bash ./olmo3-hf/extract.sh /path/to/olmo3_data_root
+```
+
+Use `/path/to/olmo3_data_root` as the OLMo-core data root. Downloading and extracting only one stage creates just that stage's branches of the extracted layout shown above; later runs can safely merge additional groups into the same root.
+
 ## Official source and redistribution provenance
 
-Stages 1-3 come from the official
+Stages 1-3 and Eval directly redistribute the official pre-tokenized files selected by the pinned manifests below, without retokenization or content transformation. The original corpus come from the official
 [OLMo 3 pre-training artifacts](https://huggingface.co/collections/allenai/olmo-3-pre-training).
-Stages 4-5 derive from the official
-[OLMo 3 post-training artifacts](https://huggingface.co/collections/allenai/olmo-3-post-training).
-Eval is the small multi-source OLMo-core perplexity-validation mix used by the training recipe.
+
+Stages 4-5 derive from the official [OLMo 3 post-training artifacts](https://huggingface.co/collections/allenai/olmo-3-post-training).
 
 | Group | Extracted data | Upstream provenance | Exact OLMo-core source manifest |
 |---|---|---|---|
@@ -87,6 +113,38 @@ The Dolci groups have official dataset cards rather than OLMo-core text manifest
 | Stage 4 | `Dolci-Think-SFT-7B/...` | [Dolci-Think-SFT-7B](https://huggingface.co/datasets/allenai/Dolci-Think-SFT-7B) | Processed SFT data for [Olmo-3-7B-Think-SFT](https://huggingface.co/allenai/Olmo-3-7B-Think-SFT) |
 | Stage 5 | `Dolci-Instruct-SFT/...` | [Dolci-Instruct-SFT](https://huggingface.co/datasets/allenai/Dolci-Instruct-SFT) | Processed SFT mixture used for [Olmo-3-7B-Instruct-SFT](https://huggingface.co/allenai/Olmo-3-7B-Instruct-SFT) |
 
+## Stage 4/5 preparation
+
+Stages 4 and 5 use Open-Instruct's [`convert_sft_data_for_olmocore.py`](https://github.com/allenai/open-instruct/blob/5fb2acc161b572201628d50cc7145d109edac140/scripts/data/convert_sft_data_for_olmocore.py) with [`allenai/olmo-3-tokenizer-instruct-dev@55f211d`](https://huggingface.co/allenai/olmo-3-tokenizer-instruct-dev/tree/55f211dfda3974963b869e490617447045069a64).
+
+This tokenizer choice follows [Open-Instruct's official guidance](https://github.com/allenai/open-instruct/blob/5fb2acc161b572201628d50cc7145d109edac140/docs/olmo3.md#tokenizer-settings) for both stages: Stage 5 uses the tokenizer as recommended, and Stage 4 uses the same Instruct template for Think SFT to prevent `<think>` spans from being incorrectly masked.
+
+The following script runs both conversions from an installed Open-Instruct checkout:
+
+```bash
+#!/usr/bin/env bash
+set -euo pipefail
+
+open_instruct_dir=/path/to/open-instruct
+output_root=/path/to/olmo3_data_root
+cache_dir=/path/to/open-instruct-cache
+tokenizer=allenai/olmo-3-tokenizer-instruct-dev
+revision=55f211dfda3974963b869e490617447045069a64
+
+cd "$open_instruct_dir"
+for dataset in Dolci-Think-SFT-7B Dolci-Instruct-SFT; do
+  python scripts/data/convert_sft_data_for_olmocore.py \
+    --dataset_mixer_list "allenai/$dataset" 1.0 \
+    --tokenizer_name_or_path "$tokenizer" \
+    --tokenizer_revision "$revision" \
+    --output_dir "$output_root/$dataset" \
+    --dataset_local_cache_dir "$cache_dir" \
+    --max_seq_length 32768 \
+    --shuffle_seed 42 \
+    --resume True
+done
+```
+
 ## File Size
 
 | Archive group | Archives | Files | Raw size | Compressed size | Compressed / raw |
@@ -99,31 +157,6 @@ The Dolci groups have official dataset cards rather than OLMo-core text manifest
 | Eval | 1 | 11 | 0.027 GB | 0.008 GB | 30.627% |
 | **Total** | **49** | **20,167** | **1,362.282 GB** | **220.219 GB** | **16.165%** |
 
-## Download
-
-```bash
-pip install -U huggingface_hub
-
-repo_id=ArchSpace-Collection/OLMo3-1B-Dataset
-hf download "$repo_id" --repo-type dataset --local-dir ./olmo3-hf
-```
-
-For a single training stage, download only the required archive groups plus this README and the extraction script. Stage 1 and Stage 2 configurations also use the perplexity-evaluation data:
-
-```bash
-hf download "$repo_id" --repo-type dataset --local-dir ./olmo3-hf \
-  --include README.md extract.sh 'archives/stage1/*' 'archives/eval/*'
-# modify `stage1` for other stages
-```
-
-## Extract into an OLMo data root
-
-```bash
-bash ./olmo3-hf/extract.sh /path/to/olmo3_data_root
-```
-
-Use `/path/to/olmo3_data_root` as the OLMo-core data root. Downloading and extracting only one stage creates just that stage's branches of the extracted layout shown above; later runs can safely merge additional groups into the same root.
-
 ## License
 
 This redistribution is made available under the same [Open Data Commons Attribution License v1.0 (ODC-By)](https://opendatacommons.org/licenses/by/1-0/) as the official OLMo 3 datasets. Credit for the underlying datasets belongs to Ai2/AllenAI and Team OLMo; downstream redistribution and use must preserve the attribution and notices required by ODC-By. See the official dataset cards linked above and Ai2's [Responsible Use Guidelines](https://allenai.org/responsible-use).