v1_7 update (#28)

- v1_7 update (fa8ae125c7a1a746a1b5b1f9202c9af2e7741cd5)
- add more sources (f606534e4f82123943f89813eb4f159129a88d60)
- Update dolma.py (3c125d3ac182adc68c7c9ec9564ad0795af7c679)
- Delete urls/.DS_Store (b1f38ffc3f43f9fc53ea67e3251abfa0e97aee67)
- Upload v1_7.txt (4424757a5e782ede5ec1004432ed5c3cceeda31b)
- Update .gitignore (fcc0c611396d3623549aa63c12ff91bf12dfdc35)
- Update README.md (099c384b6a457ce79553382178a618e8b78406f0)


Co-authored-by: Kyle Lo <kylel@users.noreply.huggingface.co>

.gitignore

@@ -59,7 +59,7 @@ target/
 *.so
 
 # macOS metadata
-.DS_Store
+*.DS_Store
 
 # ignoring test output
 /tests/work/

README.md

@@ -1,6 +1,6 @@
 ---
 license: odc-by
-viewer: true
+viewer: false
 task_categories:
 - text-generation
 language:
@@ -28,26 +28,51 @@ More information:
 
 To learn more about the toolkit used to create Dolma, including how to replicate this dataset, head over our [GitHub project page](https://github.com/allenai/dolma/tree/main/docs)!
 
+**2024-04-17: Dolma v1.7 Release.** We have released an updated version of Dolma that we used to train our latest [OLMo 7B-v1.7](https://huggingface.co/allenai/OLMo-7b-v1.7) model.
+
 **2024-04-15: License Change.** We have updated the license of Dolma to [ODC-BY](https://opendatacommons.org/licenses/by/1-0/). Please see this [blog post](https://blog.allenai.org/making-a-switch-dolma-moves-to-odc-by-8f0e73852f44) for more information.
 
 
 ## Versions
 
-At the moment, there are five versions of Dolma available:
+At the moment, there are six versions of Dolma available:
 
 | **Version** | **Default?** | **Release Date** | **Size** (gzip) | **Description** |
 |--|:--:|--|--|--|
-| `v1_6` | ✅ | 2024-01-31 | 5.4 TB | The latest version of Dolma, with 3 trillion tokens from a diverse mix of web content, academic publications, code, books, and encyclopedic materials. |
+| `v1_7` | ✅ | 2024-04-15 | 4.5 TB | Used to train [OLMo-7B-v1.7](https://huggingface.co/allenai/OLMo-7b-v1.7). |
+| `v1_6` |  | 2024-01-31 | 5.4 TB | An update to v1.5 with some bug-fixes. |
 | `v1_6-sample` | | 2024-01-31 | 16.4 GB | A smaller sample of Dolma, with roughly 10 billion tokens. Useful for data exploration. |
 | `v1_5` | | 2023-10-31 | 6.4 TB | The version of Dolma used to train [OLMo-1B](https://huggingface.co/allenai/OLMo-1B). Roughly 3 trillion tokens. |
 | `v1_5-sample` | | 2023-10-31 | 2.9 TB | A sample of roughly 1.9 trillion tokens used to train [OLMo-7B](https://huggingface.co/allenai/OLMo-7B) |
 | `v1` | | 2023-08-18 | 6.0 TB | The first version of Dolma. |
 
-(Size difference between `v1_6` and previous version is due to different set of metadata included in files: we removed redundant metadata in `v1_6`.)
 
-## Summary Statistics (v1.6)
+## Summary Statistics (v1.7)
+
+| **Source** | **Provenance** | **New?** | **Documents** (millions) |  **OLMo tokens** (billions) | **Sample Proportion** | **Cutoff Date** | **Processing**
+|--|--|--|--|--|--|--|--|
+| Dolma's CC | [Common Crawl](https://commoncrawl.org/) via Dolma v1.6 | Updated | 875.2 | 1,195.5 | 50% | Mar 2023 | Extracted using the Dolma pipeline; new quality filtering and deduplication steps. |
+| Refined Web | [Refined Web](https://huggingface.co/datasets/tiiuae/falcon-refinedweb) | Yes | 664.0 | 456.4  | 100% | Feb 2023 | Filtered using the Dolma pipeline; new quality filtering and deduplication steps.  |
+| StarCoder | [StarCoder](https://huggingface.co/blog/starcoder) | Yes |  206.6 | 263.8  | 100% | May 2023 | No further processing. |
+| C4 | [C4](https://huggingface.co/datasets/c4) via Dolma v1.6 | Updated | 249.9 | 138.4 | 50% | Apr 2019 | Filtered using the Dolma pipeline; new quality filtering and deduplication steps. |
+| Reddit | [PushShift API](https://github.com/pushshift/api) | Updated | 377.4 | 79.9 | 100% | Mar 2023 | Extracted using the Dolma pipeline; new quality filtering and deduplication steps. |
+| Semantic Scholar ([S2ORC](https://aclanthology.org/2020.acl-main.447/) & [S2AG](https://www.semanticscholar.org/product/api)) | [peS2o](https://huggingface.co/datasets/allenai/peS2o) via Dolma v1.6 | No | 38.8  | 57.2 | 100% | Mar 2023 | Same as Dolma v1.6 |
+| arXiv | [RedPajama v1](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T) | Yes | 1.5 | 28.0 | 100% | Mar 2023 | No further processing. |
+| StackExchange | [RedPajama v1](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T) | Yes | 29.3 | 19.6 | 100%  | Mar 2023  | No further processing.  |
+| Flan | [Flan](https://arxiv.org/abs/2301.13688) via [Tulu](https://huggingface.co/datasets/allenai/tulu-v2-sft-mixture)  | Yes | 52.1 | 16.5 | 100%  | Mar 2023  |  |
+| CC News | [Common Crawl](https://commoncrawl.org/blog/news-dataset-available) | Yes | 22.0 | 14.3  | 100%  | Mar 2023  | Extracted using the Dolma pipeline; new quality filtering and deduplication steps. |
+| OpenWebMath | [OpenWebMath](https://huggingface.co/datasets/open-web-math/open-web-math) via [Proof Pile II](https://huggingface.co/datasets/EleutherAI/proof-pile-2) | Yes | 2.9 |  12.6 | 100% | Oct 2023 | Training subset; no further processing. |
+| Algebraic Stack | [Proof Pile II](https://huggingface.co/datasets/EleutherAI/proof-pile-2) | Yes | 2.8 |  12.6 | 100% | Oct 2023 | Training subset; no further processing. |
+| Project Gutenberg | [Project Gutenberg](https://www.gutenberg.org) via Dolma v1.6 | No |  0.0556 | 5.3 | 100% | Mar 2023 | Same as Dolma v1.6 |
+| MegaWika | [MetaWika](https://huggingface.co/datasets/hltcoe/megawika) | Yes | 3.2 | 4.6 | 100%  | Jul 2023  | English web pages cited from Wikipedia; curated using the full Dolma pipeline.  |
+| Wikipedia & Wikibooks | [Wikimedia](https://dumps.wikimedia.org) via Dolma v1.6 | No |  6.2 |  3.7 | 200%  | Mar 2023 |  Same as Dolma v1.6 |
+| **Total** | | |  | **2,308.5** | **1,715.1** | | |
+
+(A subset of total data was used for training of OLMo 7B-v1.7. The token counts are based on the full dataset, whereas taking into account sampling proportion gives the final actual token counts used for training --- 1.715 trillion tokens.)
 
 
+## Summary Statistics (v1.6)
+
 | **Source** | **Doc Type** | **UTF-8 bytes** (GB) | **Documents** (millions) | **Unicode words** (billions) | **Llama tokens** (billions) |
 |--|--|--|--|--|--|
 | Common Crawl | web pages | 9,022 | 3,370 | 1,775 | 2,281 |
@@ -60,6 +85,8 @@ At the moment, there are five versions of Dolma available:
 | **Total** | | **11,519** | **4,367** | **2,318** | **3,059** |
 
 
+(Size difference between `v1_6` and `v1_5` is due to different set of metadata included in files: we removed redundant metadata in `v1_6`.)
+
 
 ## Download
 

dolma.py

@@ -1,4 +1,4 @@
-# Copyright 2023 Allen Institute for AI
+# Copyright 2024 Allen Institute for AI
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -35,6 +35,7 @@ _URL_LISTS = {
     "v1_5-sample": "urls/v1_5-sample.txt",
     "v1_6": "urls/v1_6.txt",
     "v1_6-sample": "urls/v1_6-sample.txt",
+    "v1_7": "urls/v1_7.txt",
 }
 _VERSIONS = {
     "v1": "1.0.0",
@@ -42,6 +43,7 @@ _VERSIONS = {
     "v1_5-sample": "1.5.0",
     "v1_6": "1.6.0",
     "v1_6-sample": "1.6.0",
+    "v1_7": "1.7.0",
 }
 _DATES = {
     "v1": "(Aug 2023)",
@@ -49,6 +51,7 @@ _DATES = {
     "v1_5-sample": "(Oct 2023)",
     "v1_6": "(Jan 2024)",
     "v1_6-sample": "(Jan 2024)",
+    "v1_7": "(Apr 2024)",
 }
 _BASE_URL = "https://olmo-data.org"
 
@@ -84,7 +87,7 @@ class Dolma(datasets.GeneratorBasedBuilder):
         for name in _URL_LISTS.keys()
     ]
 
-    DEFAULT_CONFIG_NAME = "v1_6"
+    DEFAULT_CONFIG_NAME = "v1_7"
 
     def _info(self):
         return datasets.DatasetInfo(