datasetId stringlengths 6 123 | predicted_domain stringclasses 10
values | confidence float64 0.14 1 | top2_label stringclasses 10
values | top2_score float64 0 0.5 | tag_domain stringclasses 9
values | existing_tags listlengths 0 190 | card_preview stringlengths 0 500 | card_length int64 0 25.3M | downloads int64 0 2.75M | category stringclasses 4
values |
|---|---|---|---|---|---|---|---|---|---|---|
guanning/Speculative-Verification | none | 0.3998 | chemistry | 0.2233 | null | [] | 0 | 14 | normal | |
mats-10-sprint-cs-jb/cot-oracle-sycophancy-cleaned | none | 0.9581 | code | 0.0281 | null | [] | # CoT Oracle — Sycophancy (Cleaned)
Training data for sycophancy detection in chain-of-thought reasoning.
## Task
Detect whether a model's reasoning was influenced by the user's stated opinion
(nudge). The nudge pushes AGAINST the ground truth — sycophancy means the model
abandons correct reasoning to agree with the ... | 1,479 | 191 | normal |
sergiov2000/eval_act_so100_movella_pick_a3 | none | 0.936 | code | 0.0602 | null | [
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 3,584 | 28 | normal |
mlfoundations-dev/b2_code_fasttext | code | 0.5254 | none | 0.2568 | null | [] | 0 | 6 | normal | |
chengfu0118/Qwen25-7B-attn-0-ffn-2-bespoke-seq16k-bs96-steps522-50112-last_1756882712_eval_466d | none | 0.9926 | math | 0.004 | null | [] | # chengfu0118/Qwen25-7B-attn-0-ffn-2-bespoke-seq16k-bs96-steps522-50112-last_1756882712_eval_466d
Precomputed model outputs for evaluation.
## Evaluation Results
### MATH500
- **Accuracy**: 70.40%
| Accuracy | Questions Solved | Total Questions |
|----------|-----------------|----------------|
| 70.40% | 352 | 500 ... | 321 | 5 | normal |
shivank21/bbh_subset_llama_sft | none | 0.3748 | climate | 0.1892 | null | [] | 0 | 7 | normal | |
gokulsrinivasagan/common_voice_17_0_en_complete_wav2vec2_tokenized | none | 0.8109 | legal | 0.057 | null | [] | 0 | 2 | normal | |
omron-sinicx/scipostlayout_v2 | none | 0.6524 | chemistry | 0.2681 | null | [] | This is the dataset repository of a paper ''SciPostLayout: A Dataset for Layout Analysis and Layout Generation of Scientific Posters''.
This dataset includes 6,855 poster images in train set, 500 poster images in dev/test sets, respectively.
This dataset also includes 100 papers paired with 100 posters in dev/test sets... | 989 | 32 | normal |
Nutanix/transformers_mpnet_combined_llama70b_llama8b_results | none | 0.8899 | code | 0.0386 | null | [] | 0 | 8 | normal | |
infinite-dataset-hub/ChatPeruvianMaternity | none | 0.6309 | biology | 0.2806 | null | [
"infinite-dataset-hub"
] | # ChatPeruvianMaternity
tags: Peruvian, Maternity, NaturalLanguageProcessing
_Note: This is an AI-generated dataset so its content may be inaccurate or false_
**Dataset Description:**
The 'ChatPeruvianMaternity' dataset is designed for training Natural Language Processing models that are capable of conversing with ... | 2,750 | 4 | normal |
ClarusC64/ai-agreement-belief-coherence-baseline-mapping-v0.1 | none | 0.9804 | medical | 0.0069 | null | [
"clarusc64",
"ai-safety",
"alignment",
"sycophancy",
"manipulation-risk"
] | ## What this dataset is
This dataset benchmarks baseline coherence between:
- the user’s stated belief state
- the assistant’s expressed agreement style
- whether support stays clean or drifts into flattery
It targets the earliest layer of the **Sycophancy → Manipulation** transition.
You are not detecting mani... | 1,676 | 11 | normal |
jvhoffbauer/mad_t2p_block-test_set-master_thesis | none | 0.6966 | code | 0.1111 | null | [] | 0 | 8 | normal | |
randall-lab/mpi3d-toy | none | 0.7466 | code | 0.1149 | null | [] | # Dataset Card for MPI3D-toy
## Dataset Description
The **MPI3D-toy dataset** is a **synthetically rendered image dataset** designed for benchmarking algorithms in **disentangled representation learning** and **unsupervised representation learning**. It is part of the broader MPI3D dataset suite, which also includes ... | 4,413 | 18 | normal |
Alysonhower/test_out | none | 0.9012 | code | 0.0514 | null | [
"ocr",
"document-processing",
"deepseek",
"deepseek-ocr",
"markdown",
"uv-script",
"generated"
] | # Document OCR using DeepSeek-OCR
This dataset contains markdown-formatted OCR results from images in [Alysonhower/test](https://huggingface.co/datasets/Alysonhower/test) using DeepSeek-OCR.
## Processing Details
- **Source Dataset**: [Alysonhower/test](https://huggingface.co/datasets/Alysonhower/test)
- **Model**: ... | 2,888 | 46 | normal |
Beetle-Data/BabyBabel-bul-60M | none | 0.5839 | code | 0.1275 | null | [] | 0 | 12 | normal | |
extralit-dev/test_import_dataset_from_hub_with_classlabel_18e7dc32-c902-48cb-9729-e8cb8bdaf37e | none | 0.7169 | code | 0.0616 | null | [] | 0 | 4 | normal | |
Luca207/clear_landmines | biology | 0.3946 | climate | 0.3585 | null | [] | 0 | 5 | boundary | |
kshitijthakkar/smoltrace-traces-20251027_210604 | none | 0.4918 | code | 0.2354 | null | [] | 0 | 5 | normal | |
totally-not-an-llm/EverythingLM-data-plus-test | none | 0.7 | chemistry | 0.1567 | null | [] | ### Mixture of high quality data building on EverythingLM principles. | 69 | 7 | normal |
randall-lab/cub200 | biology | 0.8224 | none | 0.1415 | null | [] | # Dataset Card for Caltech-UCSD Birds-200-2011 (CUB-200-2011)
<!-- Provide a quick summary of the dataset. -->
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
The CUB-200-2011 dataset is designed for fine-grained bird species classification. It contains 11,788 i... | 2,241 | 13 | new_discovery |
FlippyDora/raft_train_numia_prompt_iter3_0_10000 | none | 0.6649 | code | 0.101 | null | [] | 0 | 4 | normal | |
lukemarks/regression_probe_dataset | none | 0.964 | climate | 0.0159 | null | [] | # Regression Probe Dataset
This dataset contains multiple subsets for regression probing.
## Contents
- gpt_neo_125m_unaligned_activations_and_features.hf_dataset.parquet: 30000 samples
- Features: concatenated_reprs, label
- gemma_2b_it_hh_rlhf_activations_and_features.hf_dataset.parquet: 30000 samples
- Featu... | 1,418 | 22 | normal |
kubasoltys/Bielikowo | none | 0.5557 | biology | 0.3494 | math | [
"text",
"math",
"reasoning",
"instruction",
"tool"
] | # Datasets for Bielikowo tutorials
[Bielikowo Github](https://github.com/qooba/bielikowo) | 90 | 4 | tag_disagree |
open-llm-leaderboard-old/details_InnerI__I-Code-NousLlama7B-slerp | none | 0.9593 | code | 0.0233 | null | [] | # Dataset Card for Evaluation run of InnerI/I-Code-NousLlama7B-slerp
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [InnerI/I-Code-NousLlama7B-slerp](https://huggingface.co/InnerI/I-Code-NousLlama7B-slerp) on the [Open LLM Leaderboard](https://hugging... | 19,365 | 8 | normal |
william-1111/x_dataset_0103245 | none | 0.8886 | cybersecurity | 0.0589 | null | [] | # Bittensor Subnet 13 X (Twitter) Dataset
<center>
<img src="https://huggingface.co/datasets/macrocosm-os/images/resolve/main/bittensor.png" alt="Data-universe: The finest collection of social media data the web has to offer">
</center>
<center>
<img src="https://huggingface.co/datasets/macrocosm-os/images/re... | 5,692 | 29 | normal |
tbrugger/equivalency-scores | none | 0.6937 | code | 0.0672 | null | [] | 0 | 9 | normal | |
martin-ev/abo_vgoq | none | 0.8896 | legal | 0.0595 | null | [] | This synthetic dataset is built on top of the [Amazon Berkeley Objects (ABO) dataset](https://amazon-berkeley-objects.s3.amazonaws.com/index.html), which contains Amazon products with product listings and catalog images.
The fields `object_question`, `most_relevant_image_path`, `grounding_mask`, and `grounding_evident... | 1,242 | 8 | normal |
malaysia-ai/pseudolabel-malaysia-parliament-youtube-whisper-large-v3 | none | 0.9076 | legal | 0.0503 | null | [] | # pseudolabel-malaysia-parliament-youtube-whisper-large-v3
Pseudolabel [malaysia-ai/malaysia-parliament-youtube](https://huggingface.co/datasets/malaysia-ai/malaysia-parliament-youtube) using [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3)
## How to prepare the dataset
```bash
huggingface-c... | 641 | 86 | normal |
Hieuman/gmane_dataset-doc | none | 0.437 | climate | 0.1688 | null | [] | 0 | 19 | normal | |
jerwinpog0427/dataset-biasX | none | 0.9554 | cybersecurity | 0.019 | null | [
"face-recognition",
"demographic-analysis",
"computer-vision"
] | # UTKFace Dataset
## Dataset Description
The UTKFace dataset is a large-scale face dataset with long age span (range from 0 to 116 years old). The dataset consists of over 20,000 face images with annotations of age, gender, and ethnicity. The images cover large variation in pose, facial expression, illumination, ... | 2,049 | 135 | normal |
aseeransari/ventory | none | 0.3953 | code | 0.136 | null | [] | 0 | 3 | normal | |
ulasdesouza/lolv1 | none | 0.4236 | biology | 0.1443 | null | [] | 0 | 5 | normal | |
lyclyc52/SANeRF-HQ | none | 0.659 | chemistry | 0.1039 | null | [] | Dataset For SANeRF-HQ: Segment Anything for NeRF in High Quality [CVPR 2024]
https://github.com/lyclyc52/SANeRF-HQ | 115 | 73 | normal |
DopeorNope/lora_test_cpt_new_new_cpt_chunk_2000_0.8 | none | 0.6767 | climate | 0.1374 | null | [] | 0 | 7 | normal | |
lazydok/fin-v2.5 | none | 0.3924 | chemistry | 0.1442 | null | [] | 0 | 3 | normal | |
PID0930/sarm-handkercheif-20260321_filtered | none | 0.9491 | code | 0.0464 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 4,776 | 0 | normal |
khairi/pubmed-text-05 | none | 0.9824 | code | 0.0101 | null | [] | # Dataset Card for "pubmed-text-05"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 168 | 13 | normal |
ts-arena/exchange_rate | finance | 0.9269 | none | 0.0708 | null | [
"time-series",
"forecasting",
"ts-arena",
"long-horizon"
] | # Exchange Rate Dataset
Part of the TS Arena benchmarking suite for time-series foundation models.
## Description
Daily exchange rates of 8 countries (1990-2016)
## Statistics
- **Total samples**: 7588
- **Features**: 8
- **Train samples**: 5311
- **Validation samples**: 759
- **Test samples**: 1518
- **Frequency*... | 842 | 157 | new_discovery |
Avyay10/eval-deception | none | 0.502 | climate | 0.1448 | null | [] | 0 | 4 | normal | |
reasoning-degeneration-dev/TIW-qwen3-4B-Instruct-2507-cd6arg-budget_forcing-semantic | none | 0.9438 | code | 0.0401 | null | [
"degen_test_1_countdown",
"semantic_embeddings",
"embed-all-mpnet-base-v2",
"threshold-0.3"
] | # TIW-qwen3-4B-Instruct-2507-cd6arg-budget_forcing-semantic
Semantic embeddings and novelty metrics for reasoning traces
## Dataset Info
- **Rows**: 100
- **Columns**: 21
## Columns
| Column | Type | Description |
|--------|------|-------------|
| question | Value('string') | *No description provided* |
| metadata... | 5,505 | 5 | normal |
gremlin97/mars-seg_msl | none | 0.3976 | climate | 0.3908 | null | [] | # mars-seg_msl
A segmentation dataset for planetary science applications.
## Dataset Metadata
* **License:** CC-BY-4.0 (Creative Commons Attribution 4.0 International)
* **Version:** 1.0
* **Date Published:** 2025-05-11
* **Cite As:** TBD
## Classes
This dataset contains the following classes:
- 0: Background
- 1... | 1,287 | 6 | normal |
DCAgent2/DCAgent2_aider_polyglot_DCAgent2_inferredbugs-GLM-4_6-32ep-65k_20260125_214433 | none | 0.651 | chemistry | 0.1472 | null | [] | 0 | 12 | normal | |
yuntian-group/WildFeedback | biology | 0.8539 | climate | 0.1016 | null | [] | 0 | 3 | new_discovery | |
kantine/domotic_groceriesSorting_expert | none | 0.9021 | code | 0.0929 | null | [
"anomaly_detection",
"domotic",
"groceries"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.0",
"... | 3,594 | 103 | normal |
bz-arc13/preference_dataset_mixture2_and_safe_pku | none | 0.6653 | code | 0.0874 | null | [] | 0 | 5 | normal | |
shreyasgite/box_test | none | 0.9091 | code | 0.0825 | null | [
"so100",
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 3,163 | 10 | normal |
cjerzak/GlobalLeadershipProject_v1 | none | 0.5144 | legal | 0.4359 | null | [
"descriptive representation",
"political leadership",
"political science",
"social science",
"demographics"
] | [](https://github.com/cjerzak/DescriptiveRepresentationCalculator-software)
**A distilled dataset of more than 50,000 political elites coded on gender, ethnicity, language, religion, office type, and more... | 15,896 | 83 | normal |
brucekimrok/record-place-day1-02 | none | 0.9057 | code | 0.0905 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 3,578 | 9 | normal |
WissMah/Arabic_Dishes_Leb_Augmented | none | 0.6629 | code | 0.1134 | null | [] | 0 | 8 | normal | |
businessrules/prompt_algorithms5 | code | 0.5069 | none | 0.3237 | null | [] | 0 | 5 | normal | |
juliadollis/stt_latencia_resultados | none | 0.5971 | climate | 0.0922 | null | [] | 0 | 26 | normal | |
ov1n/sinhala-geography-gce-alevel-2020 | none | 0.8951 | biology | 0.0314 | null | [] | 0 | 3 | normal | |
DCAgent/DCAgent_dev_set_71_tasks_DCAgent_taskmaster2-2ep_20251111_044751 | none | 0.9169 | code | 0.0308 | null | [] | 0 | 10 | normal | |
svitv/Cub555 | none | 0.8369 | code | 0.1149 | null | [
"phosphobot",
"so100",
"phospho-dk"
] | # Cub555
**This dataset was generated using a [phospho starter pack](https://robots.phospho.ai).**
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS. | 298 | 6 | normal |
1rsh/domain-specific-search-queries | code | 0.5059 | none | 0.4649 | null | [
"spino"
] | <p align="left">
<img src="spino.png" width="200" height="200"/>
</p>
# Dataset Card for General
This instruction tuning dataset has been created with SPInO and has 16139 rows of textual data related to General.
```python
from datasets import load_dataset
dataset = load_dataset("1rsh/domain-specific-search-que... | 346 | 33 | boundary |
asingh15/arc-barc-processed-direct-max4k-abs-lr5e-6-ep1-no-oracle-0104-4of8 | none | 0.8881 | code | 0.0618 | null | [] | 0 | 5 | normal | |
JoelMba/Donnees_internes_formations_23 | none | 0.7908 | biology | 0.18 | null | [] | # Dataset Card for "Donnees_internes_formations_23"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 184 | 3 | normal |
gjyotin305/Llama-3.2-3B-Instruct_old_sft_alpaca_007_hhexphi | biology | 0.4949 | chemistry | 0.2608 | null | [] | 0 | 9 | normal | |
MikaTan2007/DiffusionTransformersUseSinkRegisters-LinearProbe | none | 0.3472 | math | 0.1921 | null | [
"pixart-sigma"
] | 0 | 3 | normal | |
Emotion-Aware-AI-Assistant/FEXP | none | 0.5424 | cybersecurity | 0.171 | null | [] | 0 | 7 | normal | |
memepottaboah/80snewwavemix2 | none | 0.4548 | code | 0.1231 | null | [] | 0 | 13 | normal | |
mlfoundations-dev/b2_math_askllm_3k | chemistry | 0.4296 | math | 0.325 | null | [] | 0 | 5 | boundary | |
jeypiii/gsm8k_c3ot_v2 | none | 0.551 | chemistry | 0.0957 | null | [] | 0 | 79 | normal | |
albertvillanova/test-data-dir | none | 0.6332 | code | 0.0956 | null | [] | 0 | 4 | normal | |
french-open-data/festival-classic-antibes-d-antibes-juan-les-pins | cybersecurity | 0.7618 | none | 0.1996 | null | [
"art",
"classique",
"concert",
"culture",
"festival",
"musique",
"dataset_for_agent"
] | # Festival Classic' Antibes d'Antibes Juan-les-Pins
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **Festival Classic' Antibes d'Antibes Juan-les-Pins** qui est disponible à l'adresse https://www.data.gouv.fr/datasets/6310be0bfd4dcd355f201d04
## Descript... | 1,150 | 5 | normal |
iagoalves/toxic-chat_Qwen3-8B | none | 0.3749 | biology | 0.2582 | null | [] | 0 | 5 | normal | |
laurieakudla/entity_extraction_ade_v2 | none | 0.6128 | code | 0.122 | null | [] | 0 | 4 | normal | |
simon-mellergaard/FNSPID_reduced | finance | 0.9802 | none | 0.0177 | null | [] | # FNSPID: A Comprehensive Financial News Dataset in Time Series
FOR THE ORIGINAL DATASET, SEE: [Zihan1004/FNSPID](https://huggingface.co/datasets/Zihan1004/FNSPID).
This is a reduced version of the dataset, to make it easier to load in different context. | 256 | 23 | new_discovery |
wuc1/bi_so101_fold-the-rag-twice-0323-2 | none | 0.9444 | code | 0.0522 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=wuc1/bi_so101_fold-the-rag-twice-0323-2">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visuali... | 5,368 | 15 | normal |
CCChen523/eval_my_act40 | none | 0.9215 | code | 0.0718 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 3,584 | 9 | normal |
datapointai/text-2-video-human-preferences-motion-v2-medium | none | 0.9683 | code | 0.0166 | null | [
"human-preferences",
"video-generation",
"preference-data",
"human-motion",
"rlhf",
"reward-model",
"text-to-video",
"video-quality",
"pairwise-comparison",
"annotation",
"video-evaluation",
"video-benchmark",
"dpo",
"human-feedback",
"ai-video",
"generative-ai",
"veo",
"kling",
... | # Human Preferences for AI-Generated Video: Motion Quality v2 (medium)
<p align="left">
<img src="https://huggingface.co/datasets/datapointai/text-2-video-human-preferences-motion/resolve/main/datapointlogo.png" alt="Datapoint AI" width="300">
</p>
**57,866 pairwise human preference labels** comparing **4 frontier ... | 8,485 | 100 | normal |
BAAI-DataCube/robomind_benchmark1_1_release_ur_1rgb_uncap_open_the_trash_can_1111 | none | 0.8564 | code | 0.1235 | null | [] | # benchmark1_1_release_ur_1rgb_uncap_open_the_trash_can_1111
This dataset converts the Robomain format uniformly into LeRobot V3.0.
## Dataset Statistics
本体: ur_1rgb
末端执行器: 夹爪
任务平台显示版: 打开垃圾桶盖part_8
total_episodes: 316
total_tasks: 1
size: 225.7M
## Dataset Structure
```
├── data
│ └── chunk-xxx
│ ├── file-xx... | 956 | 18 | normal |
LRimuru/danbooru-similarity | none | 0.804 | chemistry | 0.0687 | null | [
"danbooru",
"art",
"anime",
"image",
"similarity"
] | Danbooru cosine similarity between all images which similarity is higher than 99%. Similarity calculated on top of WD Tagger EVA embeddings. | 140 | 4 | normal |
creatoryoon/temp_dataset | none | 0.4737 | climate | 0.1832 | null | [] | 0 | 3 | normal | |
bayes-group-diffusion/openwebtext-128 | none | 0.7522 | code | 0.0768 | null | [] | 0 | 138 | normal | |
drproduck/dapo-r1-qwen7b-small-flat-completions-for-rollout-every256 | none | 0.9021 | code | 0.065 | null | [] | 0 | 6 | normal | |
PharynxAI/IndicVoices-gujarati-10000 | none | 0.6264 | code | 0.173 | null | [] | 0 | 7 | normal | |
PhatNguyen41/vietnamese-instruction-dataset | none | 0.9339 | code | 0.0295 | null | [] | # Vietnamese Instruction Dataset
This dataset contains instruction-response pairs for training instruction-following models.
## Format
JSON with two fields:
- instruction
- response
## Use Cases
- Instruction tuning
- Chatbot training | 237 | 9 | normal |
danigambit/D_ep1_run0_llama2-7b-chat_wikisumm_doc2050_III_BETA | none | 0.8724 | code | 0.0461 | null | [] | 0 | 3 | normal | |
HiTZ/winomteus | none | 0.92 | code | 0.0729 | null | [
"gender",
"bias",
"occupations"
] | # WinoMTeus
[](https://github.com/amaiamurillo/winomteus)
WinoMTeus is the Basque version of [WinoMT](https://github.com/gabrielStanovsky/mt_gender) that consists of 1,827 sentences, each containing one or two occupations. The aim of... | 1,873 | 22 | normal |
HueyKolowich/synthetic-tutor-responses-labeled-v1 | none | 0.6357 | code | 0.1534 | null | [] | 0 | 7 | normal | |
exaFLOPs09/Isaac-Kitchen-v1236-01 | none | 0.922 | code | 0.0683 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 7,174 | 5 | normal |
aditijb/allenai_tulu-3-sft-olmo-2-mixture-0225__no_years | none | 0.8989 | code | 0.0334 | null | [] | 0 | 35 | normal | |
cashlo/eval_test_3 | none | 0.9447 | code | 0.0497 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.1",
"... | 2,939 | 5 | normal |
1231czx/critic_1e6_short_test | none | 0.6526 | chemistry | 0.0828 | null | [] | 0 | 10 | normal | |
pclucas14/narrative_qa_rag_128_1_25 | none | 0.6616 | biology | 0.0989 | null | [] | 0 | 3 | normal | |
ThingUroboros/joe-fixed | none | 0.6656 | code | 0.0975 | null | [] | 0 | 4 | normal | |
emunah/deductive_logical_reasoning-room_assignment | none | 0.6346 | legal | 0.2608 | null | [] | 0 | 156 | normal | |
frex1/items_lite | code | 0.3032 | none | 0.2978 | null | [] | 0 | 20 | boundary | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_5d6956c1-5652-4b50-a95b-82e159242084 | none | 0.5979 | code | 0.2072 | null | [] | 0 | 2 | normal | |
animaRegem/IndicParaphrase-formatted | none | 0.4181 | math | 0.1827 | null | [] | 0 | 8 | normal | |
TheFactoryX/edition_2324_gradio-custom-component-gallery-backups-readymade | none | 0.8627 | code | 0.1348 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2324_gradio-custom-component-gallery-backups-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[gradio/custom-component-gallery-backups](https://huggingface.co/datasets/gradio/custom-component-gallery-backups)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of tak... | 999 | 5 | normal |
mingiJ/pid-cot-prompts-bbox | code | 0.6323 | none | 0.1747 | null | [] | 0 | 9 | normal | |
jerinpeter/grab-zbox-obj | none | 0.895 | code | 0.1003 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=jerinpeter/grab-zbox-obj">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.... | 3,967 | 0 | normal |
Lots-of-LoRAs/task374_synthetic_pos_or_neg_calculation | none | 0.9186 | biology | 0.0472 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task374_synthetic_pos_or_neg_calculation
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00066
- ... | 2,315 | 10 | normal |
DynamicSuperb/L2EnglishFluency_speechocean762-Scoring | none | 0.6039 | biology | 0.192 | null | [] | 0 | 3 | normal | |
tnb24/blotto-eval-dataset | none | 0.7719 | code | 0.068 | null | [] | 0 | 6 | normal | |
edwardyeung04/eval_cat_bowl_policy25_temporal_new_obs_real | none | 0.9484 | code | 0.0461 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"... | 2,945 | 28 | normal |
mlfoundations-dev/316_globalbatchsize96_lr4e5_epochs7_eval_636d | none | 0.9424 | code | 0.0539 | null | [] | # mlfoundations-dev/316_globalbatchsize96_lr4e5_epochs7_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|--------|-----------|--... | 2,998 | 5 | normal |
han2lin/squad_perturbed | none | 0.6063 | chemistry | 0.1201 | null | [] | 0 | 4 | normal |
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