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 |
|---|---|---|---|---|---|---|---|---|---|---|
Jannchie/danbooru_metadata | none | 0.8854 | code | 0.0965 | null | [] | Metadata of all posts from Danbooru.
I did not include the media_asset field because it is largely redundant with other fields.
Compared to the metadata available at <https://huggingface.co/datasets/nyanko7/danbooru2023>, the data here was collected at a later time. This means that many fields may differ, such as... | 661 | 10 | normal |
corranm/second_vote_75_full_pic_without_vote_highlight_square | none | 0.8335 | code | 0.0635 | null | [] | 0 | 4 | normal | |
c4vxl/jokes | none | 0.6111 | code | 0.2927 | null | [] | This is the dataset from Maximofn/short-jokes-dataset but with different versions of "Tell me a joke" prompts | 109 | 3 | normal |
cperezln/cxr8 | none | 0.3024 | biology | 0.23 | medical | [
"medical"
] | 0 | 30 | tag_disagree | |
prachiOM/record-grab-obj | none | 0.935 | code | 0.0603 | 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",
"... | 2,943 | 5 | normal |
test-gen/code_livecodebench_qwen2.5-14b_t1.0_n8_tests_livecodebench_qwen2.5-14b_t0.0_n1 | code | 0.8387 | none | 0.1512 | null | [] | 0 | 5 | new_discovery | |
cagedBirdy/push_12_19_filtered_velocity_1_3 | none | 0.9201 | code | 0.073 | 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",
"... | 2,495 | 3 | normal |
chengfu0118/Custom-OpenThinker-32B_1754027458_eval_e0d7_gpqadiamond_prn_attn_0 | none | 0.9687 | code | 0.0233 | null | [] | # chengfu0118/Custom-OpenThinker-32B_1754027458_eval_e0d7_gpqadiamond_prn_attn_0
Precomputed model outputs for evaluation.
## Evaluation Results
### GPQADiamond
- **Average Accuracy**: 59.09% ± 2.51%
- **Number of Runs**: 3
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------... | 419 | 165 | normal |
Jiwon-Kang/sd2.1_coco_cfg7_pag3 | none | 0.3362 | climate | 0.2551 | null | [] | 0 | 12 | normal | |
hendrydong/filtered_61K_seed39 | none | 0.4628 | climate | 0.1653 | null | [] | 0 | 12 | normal | |
test-gen/code_livecodebench_qwen2.5-3b_t0.1_n8_tests_livecodebench_qwen3-8b-unique_lr1e-5_t0.0_n1 | code | 0.8788 | none | 0.1148 | null | [] | 0 | 5 | new_discovery | |
sfetzel/STUBA-DiceRoll-HQ | none | 0.9351 | code | 0.0604 | 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",
"... | 2,943 | 22 | normal |
Lingalingeswaran/asr-sinhala-dataset_v2 | none | 0.4798 | biology | 0.1306 | null | [] | 0 | 3 | normal | |
johngraph/training1_data | none | 0.5693 | climate | 0.1679 | null | [] | 0 | 4 | normal | |
OpenRaiser/Envision | biology | 0.8895 | none | 0.0609 | null | [
"unified-multimodal-model",
"T2I"
] | # Envision
## Envision: Benchmarking Unified Understanding & Generation for Causal World Process Insights
Envision is a comprehensive benchmark designed for evaluating the uni... | 7,044 | 136 | new_discovery |
Qipei/Task_50fps_cotrain_dado_joint_hundred_mirror_11 | none | 0.9198 | code | 0.0708 | 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",
"... | 4,978 | 7 | normal |
ioi-leaderboard/ioi-eval-sglang_deepseek-ai_DeepSeek-V2.5-new-prompt | none | 0.93 | code | 0.0416 | null | [] | 0 | 6 | normal | |
VanWang/openr1-mix-thinkpo-20k | none | 0.4848 | chemistry | 0.1369 | null | [] | 0 | 4 | normal | |
Thimira/sinhala-llm-dataset-llama-prompt-format | none | 0.8273 | code | 0.0535 | null | [] | 0 | 15 | normal | |
ayatakagreentea/epi2 | none | 0.9099 | code | 0.0856 | 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"... | 3,725 | 22 | normal |
DCAgent2/dcagent-dev-set-71-tasks-dcagent-code-contests-sandboxes-traces-terminus-2-wei-23160135 | code | 0.6641 | none | 0.3274 | null | [] | 0 | 9 | normal | |
enosislabs/deepsearch-llama-finetune | none | 0.9178 | code | 0.0486 | null | [
"llama",
"dataset",
"enosislabs",
"fine",
"fine-tune",
"fine-tuning"
] | # DeepSearch Llama Finetune Dataset
## Overview
The **DeepSearch Llama Finetune Dataset** is a specialized collection of high-quality, real-world prompts and responses, meticulously crafted for fine-tuning Llama-based conversational AI models. This dataset is optimized for:
- **Creativity:** Responses are original, ... | 3,101 | 14 | normal |
meoconxinhxan/open_thoughts_114k | none | 0.7653 | code | 0.0451 | null | [] | 0 | 9 | normal | |
ai-forever/kinopoisk-sentiment-classification | none | 0.8538 | climate | 0.0516 | null | [] | 0 | 766 | normal | |
minhthong/flashdeal_data_HAX_historical_signal | none | 0.7179 | code | 0.0919 | null | [] | 0 | 4 | normal | |
hariharan20/koch_test | none | 0.7068 | code | 0.1366 | null | [
"tutorial"
] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). | 81 | 6 | normal |
suhasg/finetuing_kpi_dataset3 | none | 0.4429 | chemistry | 0.1601 | null | [] | 0 | 9 | normal | |
ankile/square-dagger-state-idql-r6 | none | 0.9579 | code | 0.0287 | 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",
"... | 5,462 | 8 | normal |
neelabh17/gen_graph_path_3_branch_9_depth_2_out_of_the_box_num_gen_100_Qwen2.5-7B-Instruct | none | 0.4837 | code | 0.1903 | null | [] | 0 | 4 | normal | |
rpvi/my-awesome-dataset | none | 0.7248 | climate | 0.0702 | null | [
"art"
] | 0 | 4 | normal | |
KavinduHansaka/prompt-gen-10k-flux-sdxl | none | 0.9318 | cybersecurity | 0.0346 | null | [
"image-generation",
"stable-diffusion",
"flux",
"sdxl",
"prompt-dataset",
"lora-training"
] | # Prompt Generation Dataset (10K Narrative for Flux / SDXL)
This dataset (`prompt_gen_final_10k.jsonl` and `prompt_gen_final_10k.csv`) was used to train and fine-tune image-prompt models such as [KavinduHansaka/Llama-3.2-1B-ImageGen](https://huggingface.co/KavinduHansaka/Llama-3.2-1B-ImageGen).
It contains **10,000 c... | 2,429 | 26 | normal |
suul999922/x_dataset_24 | none | 0.9139 | code | 0.0358 | 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... | 4,877 | 4 | normal |
DCAgent2/swebench_verified_random_100_folders_Kimi_K2T_ling_coder_sft_sandboxes_1_maxeps71f356b7 | none | 0.7606 | code | 0.1625 | null | [] | 0 | 19 | normal | |
ReiterStudioArt/resonance-ethics | none | 0.861 | medical | 0.0438 | null | [] | # Resonance Ethics
Resonance Ethics is a structural approach to human–AI interaction that describes ethical quality not as a rule system or moral prescription, but as an emergent property of relational form. It is based on the observation that generative AI systems do not respond to human emotions, intentions, or pers... | 2,370 | 4 | normal |
HungVu2003/opt-350m_beta_0.0_alpha_0.2_num-company_2_dataset_1_for_gen_14_v2 | none | 0.8954 | biology | 0.0369 | null | [] | 0 | 4 | normal | |
unlearning-cleanslate/eval__Qwen3-Coder-Next-FP8__sliding_window__top200 | none | 0.8755 | code | 0.067 | null | [] | 0 | 13 | normal | |
Allen-UQ/arxiv_rw_search_dataset | none | 0.5019 | climate | 0.1374 | null | [] | 0 | 5 | normal | |
nmixx-fin/NMIXX_kor_fin_news_STS | finance | 0.6398 | none | 0.1885 | null | [] | This is Preview Version of KorFinSTS
Please wait for the official version, which we will publish with the paper soon | 117 | 3 | normal |
kjngansgfa/dataset_j5lb7ijq | none | 0.5823 | chemistry | 0.0804 | null | [] | 0 | 4 | normal | |
awsuineg/pros-test-cleaned | code | 0.4356 | none | 0.1814 | null | [] | 0 | 5 | normal | |
frasalvi/debategpt_topic_scores | none | 0.9065 | code | 0.0229 | null | [] | This dataset contains human annotator scores for the topic used in debates described in the paper: [On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial
](https://huggingface.co/papers/2403.14380). | 237 | 4 | normal |
JakeOh/rft-finetune-llama-3.1-8b-math | none | 0.857 | code | 0.0502 | null | [] | 0 | 17 | normal | |
MelissaJ/ProjectLucia_img | none | 0.3365 | climate | 0.2239 | null | [] | 0 | 0 | normal | |
alejomar75/tic_tac_toe | none | 0.9225 | code | 0.0736 | 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 | 28 | normal |
micahnw/science_fair_5_eps_number_11 | none | 0.9435 | code | 0.0431 | 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",
"... | 2,944 | 8 | normal |
ss10ss10/data_chunk_25 | none | 0.5044 | climate | 0.1533 | null | [] | 0 | 2 | normal | |
Ayush-Singh/RM-Bench-safety-response-Llama-3.2-3B-Instruct-scores | none | 0.7843 | code | 0.1642 | null | [] | 0 | 5 | normal | |
aractingi/test | none | 0.8934 | code | 0.094 | 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": "v2.0",
"... | 3,740 | 11 | normal |
paruwka/zh_train | none | 0.3736 | climate | 0.1949 | null | [] | 0 | 3 | normal | |
dipta007/Q2E_MultiVENT_LLAMA_3.3_70B_InternVL_1B_Funiform_16_ASR | biology | 0.9918 | chemistry | 0.0038 | null | [] | 0 | 5 | new_discovery | |
Winboy/twitter_dataset_1718627409 | none | 0.5887 | climate | 0.1322 | null | [] | 0 | 4 | normal | |
alexlawtengyi/travel_agentv1 | none | 0.433 | code | 0.1323 | null | [] | 0 | 4 | normal | |
Mayfull/sudoku | none | 0.4816 | math | 0.3069 | null | [
"sudoku",
"constraint-satisfaction",
"planning",
"reasoning",
"diffusion-language-model",
"reinforcement-learning"
] | # 4x4 Sudoku Dataset
Standard benchmark dataset for evaluating reasoning capabilities of diffusion language models (dLLMs). This is the dataset used in the following papers:
- [**d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning**](https://arxiv.org/abs/2504.12216) (Zhao et al., 2025... | 4,349 | 79 | normal |
chiyuanhsiao/audio_no-replay-15_trivia_qa-audio | none | 0.8804 | code | 0.0382 | null | [] | 0 | 3 | normal | |
Lots-of-LoRAs/task1093_ted_translation_en_fa | none | 0.8747 | biology | 0.0873 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1093_ted_translation_en_fa
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00066
- **Point of... | 2,305 | 11 | normal |
lt-s/rsj2025_train_relocate_any_red_block_in_the_blue_dish_to_the_red_dish | none | 0.9231 | code | 0.0723 | null | [
"so100",
"RSJ2025",
"train"
] | 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",
"... | 3,585 | 15 | normal |
garySue/eval_act_picking_wok | none | 0.8721 | code | 0.1047 | null | [
"ur5",
"tutorial",
"eval"
] | 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",
"... | 6,024 | 40 | normal |
chaosen/bert-finetuning-article2 | none | 0.3733 | chemistry | 0.3084 | null | [] | 0 | 4 | normal | |
DenyTranDFW/Nissan_Auto_Receivables_2019_B_Owner_Trust_1775870 | none | 0.9321 | legal | 0.0328 | null | [] | | cik | form | accessionNumber | fileNumber | filmNumber | reportDate | url|
| ---------- | ---------- | ---------- | ---------- | ---------- | ---------- | ----------|
| 1775870 | ABS-EE | 0000950131-19-001446 | 333-229287-01 | 19826803 | 2019-04-30 | https://sec.gov/Archives/edgar/data/1775870/000095013119001446|... | 8,148 | 4 | normal |
french-datasets/matchbench_dbp15k-fr-en | none | 0.7796 | code | 0.11 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données [nickcpk/matchbench/dbp15k-fr-en](https://huggingface.co/datasets/matchbench/dbp15k-fr-en). | 179 | 4 | normal |
yufan/Mualani | none | 0.3572 | biology | 0.1347 | null | [] | 0 | 5 | normal | |
raidium/ECNQA_generated_questions | medical | 0.8665 | none | 0.1238 | medical | [
"medical"
] | # Model Card for Raidium ECQA generated questions
The dataset is introduced in the paper "Efficient Medical Question Answering with Knowledge-Augmented Question Generation".
Paper: [https://arxiv.org/abs/2405.14654](https://arxiv.org/abs/2405.14654)
The questions have been generated from prompts containing medical ... | 2,311 | 12 | normal |
pr0tos/merged_vla_long_task | none | 0.9048 | code | 0.0904 | 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",
"... | 3,585 | 5 | normal |
tyyihg/propoganda_detection_final | none | 0.4515 | chemistry | 0.1567 | null | [] | 0 | 5 | normal | |
kowndinya23/toxigen_prompts | biology | 0.4725 | chemistry | 0.2656 | null | [] | 0 | 3 | normal | |
chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754593081_eval_759d_aime24_skip_attn_idx_16 | none | 0.9804 | code | 0.0115 | null | [] | # chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754593081_eval_759d_aime24_skip_attn_idx_16
Precomputed model outputs for evaluation.
## Evaluation Results
### AIME24
- **Average Accuracy**: 8.00% ± 1.07%
- **Number of Runs**: 10
| Run | Accuracy | Questions Solved | Total Questions |
|-----|----------|-----------------... | 575 | 6 | normal |
math-extraction-comp/cluebbers__Llama-3.1-8B-paraphrase-type-generation-etpc | none | 0.6346 | math | 0.1665 | null | [] | 0 | 4 | normal | |
TheFactoryX/edition_2803_deepmind-code_contests-readymade | code | 0.9389 | none | 0.0499 | null | [
"readymades",
"art",
"duchamp"
] | # edition_2803_deepmind-code_contests-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[deepmind/code_contests](https://huggingface.co/datasets/deepmind/code_contests)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as ... | 948 | 6 | new_discovery |
sdhossain24/safe-rlhf-alpaca-test-en-fr-de | none | 0.6354 | code | 0.1642 | null | [] | 0 | 14 | normal | |
alon-albalak/claude-sonnet-4-5-noveltybench-responses | none | 0.7514 | code | 0.0744 | null | [] | 0 | 13 | normal | |
Simia-Agent/Simia-Tau-SFT-90k-Hermes | none | 0.8686 | code | 0.1123 | null | [] | # 🐒 Simia-Tau-SFT-90k-Hermes:
Simia-Tau-SFT-90k-Hermes is the fully synthetic tool-agent dataset, designed to advance tool use for τ² Airline and Retail. It comprises over 90k trajectories synthesized from 5k real-world seed trajectories. The tool use format is Hermes. Models fine-tuned on Simia-Tau-SFT-90k-Hermes o... | 2,830 | 117 | normal |
electricsheepafrica/nigerian_oilgas_crude_production | none | 0.653 | finance | 0.2342 | null | [
"nigeria",
"oil-and-gas",
"energy",
"petroleum"
] | # Nigerian Oilgas Crude Production
## Dataset Description
This dataset is part of the **Nigerian Oil & Gas Sector** collection, containing comprehensive data on Nigeria's petroleum industry from 1999-2025.
- **Rows**: 324
- **Columns**: 8
- **Period**: 1999-2025 (where applicable)
- **License**: MIT
## Data Quality... | 1,401 | 29 | normal |
michsethowusu/english-kimbundu_sentence-pairs_mt560 | none | 0.9886 | code | 0.0043 | null | [
"parallel-corpus",
"translation",
"kimbundu"
] | # English-Kimbundu Parallel Dataset
This dataset contains parallel sentences in English and Kimbundu (Angola).
## Dataset Information
- **Language Pair**: English ↔ Kimbundu
- **Language Code**: kmb
- **Country**: Angola
- **Original Source**: [OPUS MT560 Dataset](https://opus.nlpl.eu/MT560)
## Dataset Structure
T... | 676 | 11 | normal |
shylee/eval_DP_pengripA_downDims1_cropNo224_freeze0_32_32_ema1_1e-4_ckpt330000 | none | 0.8767 | code | 0.1165 | 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",
"... | 4,216 | 4 | normal |
greenfirefly/items_raw_full | none | 0.5409 | climate | 0.1997 | null | [] | 0 | 6 | normal | |
august66/hh_helpfulness_qwen2.5_1.5b_generation | none | 0.8797 | code | 0.0407 | null | [] | 0 | 70 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_ad792431-6825-46ed-aeab-cc0ae234e749 | none | 0.5642 | code | 0.2133 | null | [] | 0 | 3 | normal | |
sriramsk/octopus_table_human_multiview_20251210 | none | 0.9689 | code | 0.0219 | 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",
"... | 5,909 | 20 | normal |
h0ssn/ag_news-calibration-500-mia | none | 0.9295 | code | 0.0366 | null | [
"membership-inference",
"privacy",
"machine-learning-security"
] | # AG_NEWS Calibration Set for Membership Inference Attacks
This dataset contains a calibration set for training membership inference attack (MIA) classifiers.
## Dataset Information
- **Total Samples**: 500
- **Members**: 250 (sampled from training data)
- **Non-members**: 250 (sampled from unseen test split)
- **Ba... | 3,190 | 19 | normal |
DrRiceIO7/aggressive_dpo_cleaned | none | 0.4245 | code | 0.1786 | null | [] | 0 | 5 | normal | |
merty/rlforces | none | 0.2965 | chemistry | 0.2604 | null | [] | 0 | 5 | normal | |
HichTala/uodd_10shot_3 | none | 0.4622 | climate | 0.1448 | null | [] | 0 | 7 | normal | |
aochongoliverli/Qwen2.5-3B-math8k-dapo-20epochs-8rollouts-5120max-len-rollouts | none | 0.8094 | math | 0.1416 | null | [] | 0 | 25 | normal | |
michsethowusu/dyula-french_sentence-pairs | none | 0.6588 | code | 0.0927 | null | [] | 0 | 11 | normal | |
Lots-of-LoRAs/task093_conala_normalize_lists | none | 0.8835 | biology | 0.0713 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task093_conala_normalize_lists
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/2407.00066
- **Point of... | 2,305 | 92 | normal |
D4vidHuang/LLM_Of_Babel_NL2_Leave1_Inf | chemistry | 0.512 | climate | 0.1845 | null | [] | 0 | 4 | normal | |
Qasim522/Roman-Urdu-Parl-split | none | 0.9684 | code | 0.0261 | null | [
"urdu",
"translation",
"Transliteration",
"parallel",
"dataset"
] | # Roman Urdu Parallel Dataset - Split
This dataset is just another version of Roman-Urdu-Parl dataset split into train, validation and test set properly. Details follow below.
This repository contains a split version of the Roman-Urdu Parallel Dataset (Roman-Urdu-Parl) structured specifically to facilitate fair evalua... | 8,448 | 28 | normal |
vaishnavisha/retrieved_results_cosqa_deepseek1_dres_BAAI_bge-base-en | none | 0.8305 | biology | 0.0513 | null | [] | 0 | 5 | normal | |
ryanott/webis-touche2020__openai_ada2 | none | 0.4944 | biology | 0.1075 | null | [] | 0 | 4 | normal | |
SicariusSicariiStuff/Short_Stories_ShareGPT | none | 0.8015 | code | 0.1819 | null | [] | <div align="center">
<b style="font-size: 40px;">Short_Stories_ShareGPT</b>
</div>
---
<img src="https://huggingface.co/datasets/SicariusSicariiStuff/Short_Stories_ShareGPT/resolve/main/Images/Stories.png" alt="Short_Stories_ShareGPT" style="width: 50%; min-width: 500px; display: block; margin: auto;">
---
# 2... | 643 | 40 | normal |
windfromthenorth/fixed_choco_pudding_pi0_3x_beta_0.1 | none | 0.8893 | code | 0.1064 | 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",
"... | 2,480 | 31 | normal |
ssktora/trec_ct_2021-train-bm25-pyserini-1-dev | none | 0.8194 | code | 0.0717 | null | [] | 0 | 4 | normal | |
LaserOverrider/text2uml | none | 0.4902 | chemistry | 0.1845 | null | [] | 0 | 9 | normal | |
manzar/global-mmlu-test-v2 | none | 0.5336 | code | 0.217 | null | [] | 0 | 7 | normal | |
Akchunks/synthetic-multispeaker-diarization-dataset-hindi-train | none | 0.9048 | code | 0.0378 | null | [] | 0 | 3 | normal | |
tmpmodelsave/HanningZhang_Llama3-sft-less-corr-rr60k-3ep_reset_471tmp10_vllmexp2 | none | 0.7467 | code | 0.1063 | null | [] | 0 | 3 | normal | |
DLBDAlkemy/agentic_Qwen3-32B_Selene-1-Mini-Llama-3.1-8B | none | 0.5755 | code | 0.3816 | null | [] | 0 | 9 | normal | |
aisi-whitebox/mo1x_checkpoint_120_mmlu_0_shot | cybersecurity | 0.6124 | none | 0.3417 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: mo1x_checkpoint_120_mmlu_0_shot
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-21.
### Model Information
- **Model**: `vllm/checkpoint-120`
### Task Information
- **Tasks**: `mmlu_0_shot`
### System Prompts... | 1,455 | 3 | normal |
316usman/thematic2bembed | none | 0.4427 | chemistry | 0.125 | null | [] | 0 | 4 | normal | |
henri0910/Diffusion-Flowers-Generated | chemistry | 0.3444 | none | 0.3194 | null | [] | 0 | 9 | boundary |
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