Datasets:

allenai
/

dolma

@@ -1,73 +0,0 @@
-# build artifacts
-.eggs/
-.mypy_cache
-*.egg-info/
-build/
-dist/
-pip-wheel-metadata/
-# dev tools
-.envrc
-.python-version
-.idea
-.venv/
-.vscode/
-/*.iml
-# jupyter notebooks
-.ipynb_checkpoints
-# miscellaneous
-.cache/
-doc/_build/
-*.swp
-.DS_Store
-# python
-*.pyc
-*.pyo
-__pycache__
-# testing and continuous integration
-.coverage
-.pytest_cache/
-.benchmarks
-# documentation build artifacts
-docs/build
-site/
-# runs
-/runs/
-/wandb/
-/scratch/
-# compiled rust extension
-target/
-*.so
-# macOS metadata
-*.DS_Store
-# ignoring test output
-/tests/work/
-/python/dolma/core/warc
-# ignore vscode directory
-.vscode
-# ignore temporary directories
-/tmp/
-/temp/

LICENSE.md CHANGED Viewed

@@ -1,428 +1,138 @@
-# ODC Attribution License (ODC-By)
-### Preamble
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+AI2 ImpACT License – Medium Risk Artifacts
+==========================================
+### Version 1.0
+This AI2 ImpACT License for Medium Risk Artifacts (“MR Agreement”) is between The Allen Institute for Artificial Intelligence (“AI2”) and any individual or entity who purchases, downloads, installs, logs into, accesses or otherwise uses any ”medium risk” Artifacts that refer to this MR Agreement, including any other person or entity that an individual purports to represent, be the agent of, or otherwise act on behalf of (collectively, “You”).
+By clicking or taking similar action to accept this MR Agreement, or by accessing or using any Artifacts licensed under this MR Agreement, You agree to all the terms and conditions herein. You represent and warrant that You are at least 18 years old and have the full legal right and authority to enter into this MR Agreement and bind any employer or entity that You are acting on behalf of. If You do not agree or have the requisite authority, You have no right to access or use any Artifacts and must immediately cease any existing use.
+A human-friendly summary of the legal text can be found [here](http://allenai.org/impact-license).
+1. **DEFINITIONS**.
+    1. “**Artifact(s)**” means collectively and individually, anything used to build or apply a Model that is licensed by AI2 pursuant to this MR Agreement, such as weights or Data and any Derivatives of the original Artifact.
+    2. “**Code**” means a text listing of commands to be compiled or assembled into an executable computer program.
+    3. “**Data**” means the datasets created and/or compiled by AI2 to pretrain, train or fine-tune a Model.
+    4. “**Data Derivatives**” means
+        1. all modifications of the Data, and/or
+        2. all derivative works created from the Data that are considered copyrighted works under U.S. copyright laws.
+    5. “**Derivatives**” means anything that is based on or derived from any Artifact within the meaning of applicable U.S. copyright laws; including specifically and without limitation Model Derivatives and Data Derivatives
+    6. “**Distribute**” or “**Distribution**” means any transmission, reproduction, publication, public display, or other sharing of the Artifacts to a Third party by any means, including as a hosted service made available by electronic or other remote means - e.g. API-based or web access.
+    7. “**Model**” means the algorithm, weights and/or parameters used to produce the desired outcome, whether a machine learning algorithm or a deeper neural network.
+    8. “**Model Derivatives**” means
+        1. all modifications to the Model; and/or
+        2. any other model which is created or initialized by transfer of patterns of the weights, parameters, activations or output of the Model, to the other model, in order to cause the other model to perform similarly to the Model, including - but not limited to - distillation methods entailing the use of intermediate data representations or methods based on the generation of synthetic data by the Model for training the other model.
+    9. “**Term**” means the period of time starting from the date You access or use any Artifacts until this MR Agreement is terminated in accordance with **Section 4**.
+    10. “**Third Party**” means any party other than You or AI2.
+    11. “**Use-Based Restrictions**” means the specified restricted use cases set forth in **Exhibit A**.
+2. **LICENSE**. Subject to Your compliance with the requirements in this MR Agreement together with all applicable laws, AI2 grants to You a worldwide, non-exclusive, non-transferable, royalty-free license to use, install, and create Derivatives strictly in accordance with the requirements and restrictions as set forth below.
+    1. **Distribution**. You will not Distribute any Artifacts as-is, which are for Your internal use only. You may Distribute any Derivatives You create, provided that:
+        1. You flow down and include the Use-Based Restrictions as an enforceable provision in any type of license or legal agreement governing downstream use and/or Distribution of Your Derivatives;
+        2. You cause any of Your Derivatives to carry a prominent notice stating that You changed the original Artifact and how the Artifact was modified; and
+        3. You retain all applicable copyright, patent, trademark, and attribution notices included with the Artifact.
+    2. **Attribution**. Together with any copies of Your Derivatives that You Distribute, You must provide (i) a copy of this MR Agreement; and (ii) the following attribution notice: _“\[Artifact\] is licensed under the AI2 ImpACT License for Medium Risk Artifacts, © \[year\] The Allen Institute for Artificial Intelligence.”_
+    3. **Derivative Impact Reports**. AI2 seeks to encourage transparency around Derivatives through the use of Derivative Impact Reports, available [here](http://allenai.org/impact-license). Before releasing a Model Derivative or Data Derivative, You will complete a Derivative Impact Report and will publish, post, or make available the results of the Derivative Impact Report to the general public without imposing any direct or indirect restrictions, conditions or barriers to access, such as a paywall, fee, subscription, account, or requirement to submit personal information. You agree that AI2 may publish, post, or make available the information in Your Derivative Impact Report for review by the general public.
+        1. You agree to maintain the transparency and accuracy of information regarding Your Derivatives in good faith and will update the Derivative Impact Report whenever a material change has occurred in any of the reporting categories therein.
+        2. You acknowledge that Derivative Impact Reports are not intended to penalize any good faith disclosures about Derivatives. Accordingly, if You initiate or participate in any lawsuit or other legal action against a Third Party based on information in such Third Party’s Derivative Impact Report, then this MR Agreement will terminate immediately as of the date such lawsuit or legal action is filed or commenced.
+    4. **Use-Based Restrictions**. You will not use any Artifacts or Derivatives in connection with any Use-Based Restrictions, including without limitation, creating any content with, finetuning, updating, running, training, evaluating and/or reparametrizing a Model.
+    5. **No Circumvention**. You acknowledge that the purpose of the license granted herein is to facilitate transparency and responsible development of AI technology. Accordingly, You will not directly or indirectly circumvent the requirements in this **Section 2**, nor assist or enable any Third Party to do so.
+    6. **Revocable License**. The license granted to You is revocable. To the maximum extent permitted by law, AI2 reserves the right to suspend, restrict, or terminate (remotely or otherwise) Your access, use or Distribution of any Artifacts and/or Derivatives not expressly permitted herein.
+3. **INTELLECTUAL PROPERTY RIGHTS.**
+    1. AI2 and its licensors retain all right, title and interest in and to the Artifacts, including all patent, copyright, trademark, and trade secret rights, whether such rights are registered or unregistered, and wherever in the world those rights may exist. You will not commit any act or omission that contradicts or is inconsistent with AI2’s rights, nor permit or induce any Third Party to do the same. Other than the license granted in **Section 2** and as provided in **Section 3(b)**, all rights are expressly reserved by AI2.
+    2. Subject to Your compliance with this MR Agreement, You will own any Derivatives You create. However, if Your use or Distribution of any Derivative is in breach of this MR Agreement, You will transfer and assign all right, title, and interest in and to such Derivative to AI2 and execute any related documentation as required by AI2.
+4. **TERM AND TERMINATION**. AI2 may terminate this MR Agreement by written notice at any time if You materially breach any of Your obligations herein and fail to cure to AI2’s satisfaction within thirty (30) days after such notice.
+    1. Upon any termination of this MR Agreement, the license granted in **Section 2** will automatically terminate as of the termination date and You will:
+        1. Cease all use of the Artifacts and immediately delete all copies in Your possession or control; and
+        2. Cease all use and Distribution of any Derivatives and promptly provide AI2 with any other information regarding Your Derivatives as requested by AI2, including any documentation to assign Your Derivatives to AI2 pursuant to **Section 3(b)**.
+    2. Additionally, if AI2 terminates this MR Agreement due to Your breach of **Section 2(d)** (Use-Based Restrictions), You authorize AI2 to post a prominent notice stating that You violated the Use-Based Restrictions of this MR Agreement and that Your rights to use the Artifacts and Derivatives were terminated by AI2.
+    3. All terms and provisions that are reasonably interpreted to survive termination of this MR Agreement to fulfill its essential purpose will survive, including **Sections 3-8**.
+5. **DISCLAIMER**. AI2 PROVIDES THE ARTIFACTS ON AN “AS-IS” BASIS, AND AI2 DISCLAIMS ALL EXPRESS AND IMPLIED WARRANTIES OF ANY KIND, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES OR CONDITIONS OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING AN ARTIFACT, OR CREATING OR DISTRIBUTING ANY DERIVATIVES, AND YOU ASSUME ANY AND ALL RISKS ASSOCIATED WITH YOUR EXERCISE OF PERMISSIONS UNDER THIS MR AGREEMENT.
+6. **LIMITATION OF LIABILITY.** TO THE FULLEST EXTENT PERMITTED BY APPLICABLE LAWS, IN NO EVENT WILL AI2 BE LIABLE TO YOU OR ANY THIRD PARTY FOR DAMAGES, INCLUDING ANY DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES OF ANY CHARACTER (INCLUDING BUT NOT LIMITED TO DAMAGES FOR LOSS OF GOODWILL, WORK STOPPAGE, COMPUTER FAILURE, INTEROPERABILITY OR MALFUNCTION, OR ANY OTHER LOSS) ARISING FROM OR RELATED TO THIS MR AGREEMENT, INCLUDING WITHOUT LIMITATION, ANY USE OR INABILITY TO USE ANY ARTIFACTS , WHETHER IN TORT (INCLUDING NEGLIGENCE), CONTRACT, OR ANY OTHER LEGAL THEORY, EVEN IF YOU OR ANY THIRD PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.
+7. **INDEMNIFICATION FOR THIRD-PARTY CLAIMS**. You will defend and indemnify AI2 and its officers, directors, employees, and agents from and against any and all Third Party claims, lawsuits, and proceedings that arise or result from:
+    1. Your material, uncured breach of this MR Agreement; and/or
+    2. Your failure or alleged failure to comply with applicable laws or any violation of a Third Party’s rights in connection with Your use of the Artifacts or Your Derivatives.
+8. **MISCELLANEOUS**.
+    1. **Consideration**. The Artifacts are provided to You by AI2 subject to Your continued compliance with the terms and conditions of this MR Agreement.
+    2. **Relationship**. This MR Agreement and the parties’ relationship hereunder is non-exclusive, and neither party is restricted or limited in any way from entering into the same or similar arrangements with Third Parties. Nothing in this MR Agreement will be deemed or construed to create any employment, franchise, joint venture, partnership, agency or other such similar relationship between You and AI2.
+    3. **No Waiver; Equitable Remedies**. Any delay or failure of AI2 to enforce its rights or any provision of this MR Agreement will not be a waiver unless specifically issued in writing by AI2. Any term that is held to be invalid or enforceable will not affect any other terms in this MR Agreement, which will remain in full force and effect. You acknowledge that if You breach this MR Agreement, it may cause irreparable harm to AI2, and You agree that AI2 may seek injunctive relief against You in addition to any other legal and equitable remedies.
+    4. **Export Control**: You will not violate any applicable U.S. and non-U.S. export control and trade sanctions laws (“Export Laws”) or directly or indirectly export, re-export, provide, or otherwise transfer any Artifacts or Derivatives
+        1. to any individual, entity, or country prohibited by Export Laws;
+        2. to anyone on U.S. or non-U.S. government restricted parties lists; or
+        3. for any purpose prohibited by Export Laws, including nuclear, chemical or biological weapons, or missile technology applications.
+    5. **Governing Law**. This MR Agreement will be governed by the laws of the State of Washington, U.S.A. without regard to its choice of laws or conflict of laws rules.
+    6. **Entire Agreement**. Except as otherwise specifically set forth herein, this MR Agreement and any documents or policies that are incorporated or made part of this MR Agreement by reference contain the entire agreement between You and AI2 regarding the subject matter herein.
+    7. **Modifications**. AI2 may revise and update the terms of this MR Agreement from time to time and will post such updates to its website at [http://allenai.org/impact-license](http://allenai.org/impact-license). UNLESS OTHERWISE STATED IN THE AMENDED VERSION OF THIS MR AGREEMENT, ANY CHANGES TO THIS MR AGREEMENT WILL APPLY IMMEDIATELY UPON POSTING. While AI2 is not obligated to provide You with notice of any changes, any amendments to this MR Agreement will not apply retroactively to events that occurred prior to such changes. Your continued use of the Artifact(s) and/or Distribution of Your Derivatives will constitute Your agreement to the terms of the updated MR Agreement.
+For any questions regarding this MR Agreement, please contact [ai2impact@allenai.org](mailto:ai2impact@allenai.org).
+**EXHIBIT A**
+**USE-BASED RESTRICTIONS**
+1. **EXPECTATIONS**. AI2 expects that You will not use, or cause or assist others to use, any Artifacts or Derivatives in connection with any academic dishonesty, including submitting any informational content or output of a Model as Your own work in any academic setting.
+2. **RESTRICTIONS**. You will not, and will not permit, assist, or cause any Third Party to use, modify, copy, reproduce, incorporate, create Derivatives of, or Distribute any Artifacts or Your Derivatives, in whole or in part, for:
+    1. military weapons purposes or in the service of nuclear proliferation or nuclear weapons technology;
+    2. purposes of military surveillance, including any research or development relating to military surveillance;
+    3. purposes of generating or disseminating information or content, in any context (e.g. posts, articles, tweets, chatbots or other kinds of automated bots) without expressly and intelligibly disclaiming that the text is machine generated;
+    4. purposes of ‘real time’ remote biometric processing or identification systems in publicly accessible spaces for the purpose of law enforcement;
+    5. fully automated decision-making without a human in the loop; and/or
+    6. purposes of the predictive administration of justice, law enforcement, immigration, or asylum processes, such as predicting an individual will commit fraud/crime (e.g. by text profiling, drawing causal relationships between assertions made in documents, indiscriminate and arbitrarily-targeted use).

README.md CHANGED Viewed

@@ -1,5 +1,5 @@
 ---
-license: odc-by
 viewer: false
 task_categories:
 - text-generation
@@ -12,128 +12,44 @@ tags:
 pretty_name: Dolma
 size_categories:
 - n>1T
 ---
-# Dolma
-<img alt="Dolma's official logo. It's dolma written in yellow, round lowercase letters over a blue background." src="https://raw.githubusercontent.com/allenai/dolma/main/docs/assets/AI2_Blog_1400x685_2x.webp" width="100%">
-Dolma is a dataset of 3 trillion tokens from a diverse mix of web content, academic publications, code, books, and encyclopedic materials.
 More information:
-- Read Dolma **manuscript** and its **Data Sheet** [on ArXiv](https://arxiv.org/abs/2402.00159);
 - Explore the [**open source tools**](https://github.com/allenai/dolma) we created to curate Dolma.
 - Want to request removal of personal data? Use [this form](https://forms.gle/q4BNUUxUxKwKkfdT6) to notify us of documents containing PII about a specific user.
-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 six versions of Dolma available:
-| **Version** | **Default?** | **Release Date** | **Size** (gzip) | **Description** |
-|--|:--:|--|--|--|
-| `v1_7` | ✅ | 2024-04-15 | 4.5 TB | Used to train [OLMo-7B-v1.7](https://huggingface.co/allenai/OLMo-7b-v1.7). New sources, more quality filtering, fuzzy deduplication. |
-| `v1_6` |  | 2024-01-31 | 5.4 TB | An update to v1.5 with some deduplication of documents with too few tokens or too many repeated n-grams. |
-| `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 | 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. |
-## 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 Collection](https://arxiv.org/abs/2301.13688), reproduced following the [original code](https://github.com/google-research/FLAN/tree/main/flan/v2), as performed by [Dettmers et al., (2023)](https://openreview.net/forum?id=OUIFPHEgJU)   | Yes | 52.1 | 16.5 | 100%  | Feb 2023  | After reproducing Flan, sampled to balance different Flan subsets. Reformatted for pretraining with newlines separating instruction and demonstration. |
-| 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% | May 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** | | | **2532.0** | **2,308.5** | **1,715.1** | **Oct 2023** | |
-(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 |
-| The Stack | code| 1,043| 210 | 260| 411 |
-| C4 | web pages | 790 | 364 | 153| 198 |
-| Reddit| social media| 339 | 377| 72| 89 |
-| PeS2o | STEM papers| 268 | 38.8| 50| 70 |
-| Project Gutenberg | books | 20.4 | 0.056 | 4.0 | 6.0 |
-| Wikipedia, Wikibooks | encyclopedic | 16.2 | 6.2 | 3.7 | 4.3 |
-| **Total** | | **11,519** | **4,367** | **2,318** | **3,059** |
-## Download
-The fastest way to download Dolma is to clone this repository and use the files in the `url` directory.
-We recommend using wget in parallel mode to download the files. For example:
-```bash
-DATA_DIR="<path_to_your_data_directory>"
-PARALLEL_DOWNLOADS="<number_of_parallel_downloads>"
-DOLMA_VERSION="<version_of_dolma_to_download>"
-git clone https://huggingface.co/datasets/allenai/dolma
-mkdir -p "${DATA_DIR}"
-cat "dolma/urls/${DOLMA_VERSION}.txt" | xargs -n 1 -P "${PARALLEL_DOWNLOADS}" wget -q -P "$DATA_DIR"
-```
-Then, to load this data using HuggingFace's `datasets` library, you can use the following code:
-```python
-import os
-from datasets import load_dataset
-os.environ["DATA_DIR"] = "<path_to_your_data_directory>"
-dataset = load_dataset("allenai/dolma", split="train")
-```
-### Licensing Information
-We are releasing this dataset under the terms of [ODC-BY](https://opendatacommons.org/licenses/by/1-0/).
-By using this dataset, you are also bound any license agreements and terms of use of the original data sources.
-## Bibtex
-If you use our dataset or tooling, please cite us at:
-```bibtex
-@article{dolma,
-  title = {{Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research}},
-  author={
-    Luca Soldaini and Rodney Kinney and Akshita Bhagia and Dustin Schwenk and David Atkinson and
-    Russell Authur and Ben Bogin and Khyathi Chandu and Jennifer Dumas and Yanai Elazar and
-    Valentin Hofmann and Ananya Harsh Jha and Sachin Kumar and Li Lucy and Xinxi Lyu and
-    Nathan Lambert and Ian Magnusson and Jacob Morrison and Niklas Muennighoff and Aakanksha Naik and
-    Crystal Nam and Matthew E. Peters and Abhilasha Ravichander and Kyle Richardson and Zejiang Shen and
-    Emma Strubell and Nishant Subramani and Oyvind Tafjord and Pete Walsh and Luke Zettlemoyer and
-    Noah A. Smith and Hannaneh Hajishirzi and Iz Beltagy and Dirk Groeneveld and Jesse Dodge and Kyle Lo
-  },
-  year = {2024},
-  journal={arXiv preprint},
-}
-```

 ---
+license: other
 viewer: false
 task_categories:
 - text-generation
 pretty_name: Dolma
 size_categories:
 - n>1T
+extra_gated_prompt: "Access to this dataset is automatically granted upon accepting the [**AI2 ImpACT License - Medium Risk Artifacts (“MR Agreement”)**](https://allenai.org/licenses/impact-mr) and completing all fields below."
+extra_gated_fields:
+ Your full name: text
+ Organization or entity you are affiliated with: text
+ State or country you are located in: text
+ Contact email: text
+ Please describe your intended use of the medium risk artifact(s): text
+ I AGREE to the terms and conditions of the MR Agreement above: checkbox
+ I AGREE to AI2’s use of my information for legal notices and administrative matters: checkbox
+ I CERTIFY that the information I have provided is true and accurate: checkbox
 ---
+# Dolma
+<img alt="Dolma's official logo. It's dolma written in yellow, round lowercase letters over a blue background." src="https://raw.githubusercontent.com/allenai/dolma/main/res/logo.png" width="100%">
+Dolma is a dataset of 3 trillion tokens from a diverse mix of web content, academic publications, code, books, and encyclopedic materials. It is openly released under AI2’s ImpACT license as a medium risk artifact.
 More information:
+- Read Dolma **announcement blogpost** [on Medium](https://soldni.medium.com/dolma-3-trillion-tokens-open-llm-corpus-9a0ff4b8da64);
+- Learn more about Dolma on its [**Data Sheet**](https://drive.google.com/file/d/12gOf5I5RytsD159nSP7iim_5zN31FCXq/view?usp=drive_link);
+- Review Dolma's [**ImpACT license** for medium risk artifacts](https://allenai.org/licenses/impact-mr);
 - Explore the [**open source tools**](https://github.com/allenai/dolma) we created to curate Dolma.
 - Want to request removal of personal data? Use [this form](https://forms.gle/q4BNUUxUxKwKkfdT6) to notify us of documents containing PII about a specific user.
+## Summary Statistics
+|**Source**|**Type**|**Gzip files (GB)**|**Documents (millions)**|**[GPT-NeoX](https://huggingface.co/EleutherAI/gpt-neox-20b) Tokens (billions)**|
+|:---|:---:|:---:|:---:|:----:|
+|[CommonCrawl](https://commoncrawl.org/)|web|4,197|4,600|2,415|
+|[C4](https://huggingface.co/datasets/allenai/c4)|web|302|364|175|
+|[peS2o](https://huggingface.co/datasets/allenai/peS2o)|academic|150|38.8|57|
+|[The Stack](https://huggingface.co/datasets/bigcode/the-stack)|code|675|236|430|
+|[Project Gutenberg](https://www.gutenberg.org/)|books|6.6|0.052|4.8|
+|[Wikipedia](https://dumps.wikimedia.org/)|encyclopedic|5.8|6.1|3.6|
+||**Total** |**5,334**|**5,245**|**3,084**|

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