allenai/fluid-benchmarking
Fluid Language Model Benchmarking This dataset provides IRT models for ARC Challenge, GSM8K, HellaSwag, MMLU, TruthfulQA, and WinoGrande. Furthermore, it contains results for pretraining checkpoints of Amber-6.7B, K2-65B, OLMo1-7B, OLMo2-7B, Pythia-2.8B, and Pythia-6.9B, evaluated on these six benchmarks. 🚀 Usage For utilities to use the dataset and to replicate the results from the paper, please see the corresponding… See the full description on the dataset page: https://huggingface.co/datasets/allenai/fluid-benchmarking.
| Author / organization | allenai |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 565 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 28 August 2025 |
| Last updated at source | 16 September 2025 |
Popularity, last 3 days
565 now (+77 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Fluid Language Model Benchmarking This dataset provides IRT models for ARC Challenge, GSM8K, HellaSwag, MMLU, TruthfulQA, and WinoGrande. Furthermore, it contains results for pretraining checkpoints of Amber-6.7B, K2-65B, OLMo1-7B, OLMo2-7B → Fluid Language Model Benchmarking This dataset provides IRT models for ARC Challenge, GSM8K, HellaSwag, MMLU, TruthfulQA, and WinoGrande. Furthermore, it contains results for pretraining checkpoints of Amber-6.7B, K2-65B, OLMo1-7B, OLMo2-7B
Changes detected by Silytics between refreshes of the source.
More from allenai
- allenai/c4Dataset
- allenai/ai2_arcDataset
- allenai/objaverseDataset
- allenai/winograndeDataset
- allenai/openbookqaDataset
- allenai/sciqDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.