---
license: odc-by
language:
- en
pretty_name: Da
---

We provide here all recipes used in the [DataDecide paper](http://www.arxiv...).

## Recipes

| **Source**                          | **Recipe**                     | **Description** |
|------------------------------------|--------------------------------|-----------------|
| Dolma1.7                           | Original                       | The 1.7 release of the Dolma dataset (Soldaini et al., 2024), a 2.3 trillion token corpus sampling sources commonly used in LM training. |
| Dolma1.7                           | No code                        | Dolma1.7 with code-related subsets (Starcoder, StackExchange) removed. |
| Dolma1.7                           | No math, code                  | Dolma1.7 excluding OpenWebMath, arXiv STEM papers, Starcoder, StackExchange, and Algebraic Stack. |
| Dolma1.7                           | No Reddit                      | Dolma1.7 with Reddit subset excluded. |
| Dolma1.7                           | No Flan                        | Dolma1.7 with Flan subset removed. |
| Dolma1.6++                         | Original                       | Dolma1.6 with additional sources from Dolma1.7: RedPajama ArXiv, OpenWebMath, Algebraic Stack, Flan, Starcoder, and Falcon. |
| C4                                 | Original                       | The C4 dataset (Raffel et al., 2020) as processed in Dolma1.7, derived from April 2019 Common Crawl with automatic filtering. |
| FineWeb-Pro                        | [Original](https://huggingface.co/datasets/HuggingFaceFW/fineweb)                       | FineWeb-Pro (Zhou et al., 2024), created using a model-guided approach to apply programmatic cleaning over FineWeb. |
| FineWeb-Edu                        | [Original](https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus/viewer/fineweb-edu-dedup)                       | FineWeb-Edu (Benallal et al., 2024), deduplicated subset of SmolLM-Corpus filtered by an educational quality classifier. |
| Falcon                             | Original                       | Falcon RefinedWeb (Penedo et al., 2023) as used in Dolma1.7, built from all Common Crawl through June 2023, aggressively filtered. |
| Falcon+CC                          | Original                       | Unfiltered combination of Falcon RefinedWeb and Dolma1.7's Common Crawl data. |
| Falcon+CC                          | QC 10%                         | Top 10% of Falcon+CC by reproduction of the DCLM quality filter (Li et al., 2024). |
| Falcon+CC                          | QC 20%                         | Top 20% of Falcon+CC by reproduced DCLM filter. |
| Falcon+CC                          | QC Orig 10%                    | Top 10% using the original DCLM-provided quality filter. |
| Falcon+CC                          | QC Tulu 10%                    | Top 10% filtered using a classifier trained on pre-release Tulu-v3 (Lambert et al., 2024). |
| DCLM-Baseline                      | Original                       | DCLM-Baseline from Li et al. (2024). |
| DCLM-Baseline                      | QC 7% FW2                      | Top 7% by DCLM filter, filtered with FineWeb-Edu, keeping only documents scored ≥2. |
| DCLM-Baseline                      | QC 7% FW3                      | Same as above but restricted to documents scored ≥3. |
| DCLM-Baseline                      | QC FW 10%                      | Filtered using FineWeb-Edu classifier, top 10% retained. |
| DCLM-Baseline                      | QC FW 3%                       | Same as above but only top 3% retained. |
| DCLM-Baseline                      | QC 10%                         | 10% retained using classifier fine-tuned on OpenHermes and Reddit ELI5. |
| DCLM-Baseline                      | QC 20%                         | Same as above, but retaining top 20%. |
| DCLM-Baseline 25% / Dolma 75%      | 75% Dolma / 25% DCLM           | Mixed dataset: 75% Dolma1.7 and 25% DCLM-Baseline. |
| DCLM-Baseline 50% / Dolma 50%      | 50% Dolma / 50% DCLM           | Mixed dataset: 50% Dolma1.7 and 50% DCLM-Baseline. |
| DCLM-Baseline 75% / Dolma 25%      | 25% Dolma / 75% DCLM           | Mixed dataset: 25% Dolma1.7 and 75% DCLM-Baseline. |

This dataset is licensed under ODC-BY and intended for research and educational use in accordance with [Ai2's Responsible Use Guidelines](https://allenai.org/responsible-use).