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 |
|---|---|---|---|---|---|---|---|---|---|---|
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent_r2egymGPT5CodexPassed-nl2bash-bugsseq_Qwen3-8Bdb8fcfaf | code | 0.6286 | none | 0.2613 | null | [] | 0 | 8 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_40a28859-86a3-43a5-b815-666fdcce086c | none | 0.6494 | code | 0.1863 | null | [] | 0 | 3 | normal | |
DCAgent2/swebench_verified_random_100_folders_nl2bash_nl2bash_bugsseq_Qwen3_8B_maxEps24_985a4c51 | biology | 0.4813 | none | 0.4411 | null | [] | 0 | 12 | boundary | |
Windy/ultr4_v3_10k_4cfg_4rewriter_m0_vs_real | none | 0.7126 | code | 0.1896 | null | [] | 0 | 3 | normal | |
skbose/dr-tp-bagchi-v0-tts-tags-gender-accent-text-descriptions | none | 0.9378 | code | 0.0221 | null | [] | 0 | 5 | normal | |
HichTala/uodd_1shot_3 | none | 0.4634 | climate | 0.1684 | null | [] | 0 | 7 | normal | |
passionMan/real_seed_IFD_rIFD6 | none | 0.4279 | chemistry | 0.2441 | null | [] | 0 | 4 | normal | |
ZhiChengAI/PickSmall_V0 | none | 0.8656 | code | 0.0434 | null | [] | Episode length: 7185
Average video length: 11.938888888888888
Collected date: 2024.7.26 | 89 | 87 | normal |
androidabc08/tstss | none | 0.351 | code | 0.1484 | null | [] | 0 | 4 | normal | |
jordanfan/esconv_llm_judge | none | 0.4913 | chemistry | 0.1936 | null | [] | 0 | 4 | normal | |
airblackbox/eu-ai-act-compliance-benchmark | cybersecurity | 0.9037 | none | 0.0662 | cybersecurity | [
"eu-ai-act",
"compliance",
"ai-governance",
"code-analysis",
"python",
"security",
"audit"
] | # EU AI Act Compliance Benchmark
**55 Python AI agent files with ground-truth compliance labels across 6 EU AI Act articles.**
The first public benchmark dataset for evaluating EU AI Act compliance scanners. Each sample is a realistic Python AI agent that either passes or fails specific articles — verified against th... | 5,926 | 103 | normal |
BEE-spoke-data/google_wellformed_query-hf | none | 0.9599 | code | 0.0249 | null | [
"grammar",
"regression"
] | # google_wellformed_query-hf
Original [google_wellformed_query](https://huggingface.co/datasets/google-research-datasets/google_wellformed_query) loaded/converted to parquet format so `trust_remote_code` is not needed. | 219 | 16 | normal |
LekkoNog1994/Coc-Repository | cybersecurity | 0.5077 | none | 0.4217 | null | [] | # Clash of Clans War Base Dataset — TH16, TH17 e TH18
Este dataset reúne imagens de layouts de guerra (War Bases) dos níveis avançados de Centro de Vila do jogo **Clash of Clans**: **TH16, TH17 e TH18**.
O objetivo principal é fornecer material organizado para treinar modelos de **visão computacional**, especialment... | 2,825 | 4 | boundary |
sjleslie/random_Leslie_types_balanced_21 | biology | 0.8089 | climate | 0.0747 | null | [] | 0 | 5 | new_discovery | |
1231czx/rm_prefix_bon_05_n64 | none | 0.4646 | climate | 0.1824 | null | [] | 0 | 4 | normal | |
GrigoriiA/libritts_r_dataset | none | 0.443 | biology | 0.1379 | null | [] | 0 | 6 | normal | |
gowtham28/math_cleaned | math | 0.3137 | chemistry | 0.2485 | null | [] | 0 | 3 | boundary | |
JamesSpray/medmcqa_evaluation | none | 0.5267 | code | 0.15 | null | [] | 0 | 4 | normal | |
FrancophonIA/Petit_glossaire_creole_guadeloupeen | biology | 0.5326 | none | 0.3171 | null | [] | > [!NOTE]
> Dataset origin: http://creoles.free.fr/Cours/glossai.htm
Note : site à scrapper | 92 | 25 | normal |
alihmaou/bdnb_2023-11.a_rel_batiment_groupe_dpe_logement_89 | none | 0.811 | chemistry | 0.0769 | null | [] | 0 | 3 | normal | |
rfuiid8/humanoid-kopipasar-data | none | 0.5797 | biology | 0.2565 | null | [] | 0 | 8 | normal | |
rdoshi21/1m2r-cot-rope-zoom | none | 0.9028 | code | 0.0938 | null | [
"ur5",
"panda"
] | 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",
"... | 2,821 | 14 | normal |
Junyi-tao/dvdowning_seq_inject_every_1 | none | 0.5184 | code | 0.1841 | null | [] | 0 | 5 | normal | |
ErikaaWang/M_0_generated__truthfulqa_gen_model_pool__mistral_score_mistral | none | 0.6126 | biology | 0.2589 | null | [] | 0 | 4 | normal | |
juliadollis/FINET_m_llama3.2I1b_v2 | none | 0.6551 | biology | 0.1 | null | [] | 0 | 4 | normal | |
jherng/inappropriate-shorts | none | 0.4521 | climate | 0.1142 | null | [] | 0 | 5 | normal | |
aisi-whitebox/wmdp_bio_cot_mo1_mo2_experiments_mo1_50_50_connor_triggers | none | 0.8029 | biology | 0.0755 | null | [
"deception",
"safety",
"sandbagging"
] | # Inspect Dataset: wmdp_bio_cot_mo1_mo2_experiments_mo1_50_50_connor_triggers
## Dataset Information
This dataset was created using the `create_inspect_dataset` function from the deception_sprint package on 2025-05-09.
### Model Information
- **Model**: `vllm/aisi-whitebox/llama-3.1-8b-instruct-finetuned-mo-v1-conno... | 1,583 | 5 | normal |
DemoTest0122/ScienceMetaBench107 | none | 0.7191 | chemistry | 0.1446 | null | [] | # ScienceMetaBench
[English](README.md) | [中文](README_ZH.md)
🤗 [HuggingFace Dataset](https://huggingface.co/datasets/opendatalab/ScienceMetaBench) | 🔍 [Dingo](https://github.com/MigoXLab/dingo)
ScienceMetaBench is a benchmark dataset for evaluating the accuracy of metadata extraction from scientific literature PDF... | 9,151 | 34 | normal |
ainewtrend07/T5Lora | none | 0.4198 | biology | 0.1538 | null | [] | 0 | 4 | normal | |
asingh15/arc-barc-processed-direct-80k-solutions-all-valid-trunc20480 | none | 0.7551 | code | 0.1398 | null | [] | 0 | 4 | normal | |
VibeCheck1/VibeCheckRandomSamples_VibeCheckAudio_TESS | none | 0.7223 | code | 0.1163 | null | [] | 0 | 11 | normal | |
omarabdelnasser313/MBZUAI_Arabic_Safeguard_Filtered | none | 0.4482 | legal | 0.1729 | null | [] | 0 | 5 | normal | |
mdahba/noor_high_school_biology | none | 0.8123 | biology | 0.0564 | null | [] | 0 | 4 | normal | |
kevinautomation/llme2_sft_dataset_rlaif_2 | none | 0.4165 | chemistry | 0.1621 | null | [] | 0 | 5 | normal | |
CMU-AIRe/e3-math-easy | math | 0.6652 | chemistry | 0.1834 | null | [] | 0 | 6 | normal | |
jkazdan/noice-constr-10 | none | 0.5138 | code | 0.1053 | null | [] | 0 | 5 | normal | |
Dongkkka/ffw_bg2_rev4_hgh | none | 0.9151 | code | 0.0789 | null | [
"ffw_bg2_rev4",
"robotis"
] | 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",
"... | 4,712 | 13 | normal |
vapaau/jambo | biology | 0.9454 | climate | 0.0451 | null | [] | The JAMBO dataset contains 3290 underwater images of the seabed captured by an ROV in temperate waters in the Jammer Bay area off the North West coast of Jutland, Denmark.
All the images have been annotated by six annotators to contain one of three classes: sand, stone, or bad. The three classes are defined as follows:... | 2,392 | 159 | new_discovery |
argilla/10k_prompts_ranked_mistral_large_responses | none | 0.9367 | code | 0.0481 | null | [
"distilabel"
] | ## Description
This dataset contains responses generated for the prompts of the [DIBT/10k_prompts_ranked](https://huggingface.co/datasets/DIBT/10k_prompts_ranked), using [distilabel](https://github.com/argilla-io/distilabel)
with [`mistral-large`](https://docs.mistral.ai/platform/endpoints/). The script used for the g... | 390 | 18 | normal |
xin1997/ds1000_all_input | none | 0.5018 | chemistry | 0.1824 | null | [] | 0 | 3 | normal | |
DelwynHn577/Lorelei | none | 0.3845 | biology | 0.1225 | null | [] | 0 | 3 | normal | |
mlfoundations-dev/316_globalbatchsize96_lr1e5_epochs11_eval_636d | none | 0.9537 | code | 0.0423 | null | [] | # mlfoundations-dev/316_globalbatchsize96_lr1e5_epochs11_eval_636d
Precomputed model outputs for evaluation.
## Evaluation Results
### Summary
| Metric | AIME24 | AMC23 | MATH500 | MMLUPro | JEEBench | GPQADiamond | LiveCodeBench | CodeElo | CodeForces |
|--------|------|-----|-------|-------|--------|-----------|-... | 3,004 | 5 | normal |
IAMJB/scanned-arxiv-papers-id | chemistry | 0.4973 | none | 0.18 | null | [] | 0 | 95 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_b7b16ab0-d519-40e4-ac18-d836de034a6e | none | 0.668 | code | 0.13 | null | [] | 0 | 5 | normal | |
JingweiNi/magpie_creative_dedup_augmented | none | 0.646 | code | 0.0868 | null | [] | 0 | 11 | normal | |
Rocking-Mat/counterfactual_babylm_aann_all_det_anan | none | 0.7134 | code | 0.1084 | null | [] | 0 | 4 | normal | |
NorHsangPha/shan-news-shanhumanrights_org | none | 0.5921 | legal | 0.1528 | null | [
"shn",
"shan"
] | 0 | 13 | normal | |
daniel-dona/sparql-dataset-era-v3 | none | 0.6473 | code | 0.1458 | null | [] | 0 | 7 | normal | |
dgambettaphd/D_gmm2_gen2_run0_W_doc1000_synt64_MPP | none | 0.6918 | code | 0.1884 | null | [] | 0 | 5 | normal | |
zhan7721/cn-esd-5fold-2 | none | 0.5486 | chemistry | 0.1615 | null | [] | 0 | 2 | normal | |
rasdani/cohere-wikipedia-2023-11-fa-1.5k-articles-positives | none | 0.9228 | code | 0.0258 | null | [] | 0 | 6 | normal | |
zjhhhh/iter2_7b_min_gap_0.17_final_scores_adversary_17 | none | 0.8342 | code | 0.0734 | null | [] | 0 | 7 | normal | |
qownscks/doll_15 | none | 0.9168 | code | 0.0789 | 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",
"... | 3,573 | 5 | normal |
SiMajid/ValueDataset | none | 0.4211 | code | 0.1738 | null | [] | 0 | 22 | normal | |
danielsanjosepro/first-humanoid-dataset | none | 0.9617 | code | 0.0357 | 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",
"... | 5,506 | 13 | normal |
Yi3852/gtzan | none | 0.4475 | biology | 0.2441 | null | [] | from marsyas/gtzan, split it into train and test sets randomly | 62 | 3 | normal |
TAUR-dev/D-EVAL__standard_eval_v3__SBON_alltasks_lowlr_rl_grpo-rl_8k_tok_eval-eval_rl | none | 0.666 | code | 0.2542 | null | [] | 0 | 4 | normal | |
test-gen/humaneval_Qwen2.5-Coder-32B-Instruct_t0.1_n8_generated_code | code | 0.9192 | none | 0.0626 | null | [] | 0 | 5 | new_discovery | |
sigurds/zalo | none | 0.9803 | code | 0.0082 | null | [] | urls = [
"https://huggingface.co/datasets/sigurds/zalo/resolve/main/IMG_4382.jpg",
"https://huggingface.co/datasets/sigurds/zalo/resolve/main/IMG_4383.jpg",
"https://huggingface.co/datasets/sigurds/zalo/resolve/main/IMG_4384.jpg",
"https://huggingface.co/datasets/sigurds/zalo/resolve/main/IMG_43... | 415 | 3 | normal |
nouhad/multiplication_train_3x12 | none | 0.8163 | math | 0.1446 | null | [] | # Multiplication Dataset - multiplication_train_3x12
This dataset contains multiplication problems for numbers up to 15x15.
## Dataset Format
- `messages`: User question and assistant answer.
- `ground_truth`: Correct multiplication result.
- `dataset`: "multiplication"
## Hugging Face Dataset Link
➡️ [View dataset... | 403 | 4 | normal |
EmanuelCp655/Dana | none | 0.2696 | climate | 0.1747 | null | [] | 0 | 2 | normal | |
argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_93f60a13-3170-4b5c-91cb-97b54b0e4bcd | none | 0.7513 | code | 0.1167 | null | [] | 0 | 3 | normal | |
shryesm/cognitiveLab | none | 0.4247 | chemistry | 0.1374 | null | [] | 0 | 5 | normal | |
JiminPark/CodeInstance | code | 0.6721 | none | 0.1381 | null | [] | 0 | 8 | normal | |
TAUR-dev/SIE_EVAL__SIEXP_concat_until_correct_and_filter_lm2d__rl__results | none | 0.6472 | code | 0.1073 | null | [] | 0 | 5 | normal | |
cijerezg/eval_multitask-cutlery-v1.04 | none | 0.8918 | code | 0.1046 | 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",
"... | 4,211 | 5 | normal |
hiimbach/proactive-ai-2000-split | none | 0.6982 | code | 0.0935 | null | [] | 0 | 4 | normal | |
Klevin/finetuning_demo | none | 0.4247 | chemistry | 0.161 | null | [] | 0 | 6 | normal | |
yuhaoo666/generated_instructions_dataset | none | 0.4578 | code | 0.2539 | null | [] | 0 | 3 | normal | |
fuyyckwhy/HS-Bench-results | none | 0.8402 | code | 0.0867 | null | [
"human-subject simulation",
"PAS",
"ECS"
] | # HS-Bench Results
Benchmark results for **HumanStudy-Bench (HS-Bench)**: evaluation outputs from running AI agents through reconstructed human-subject experiments.
## Dataset description
This dataset contains:
- **12 studies** (`study_001`–`study_012`): replicated experiments from published human-subject research ... | 2,006 | 3,012 | normal |
giovannidemuri/code-alpaca_llama8b-v126-jb-seed2-alpaca_512_ngt0.7_tp0.9 | code | 0.8352 | none | 0.1302 | null | [] | 0 | 5 | new_discovery | |
hamishivi/rds-sels-codex-top326k | code | 0.5291 | none | 0.466 | null | [] | # RDS+ Selected Codex 326k
This is the dataset (and associated scores) selected by RDS+ when selecting 326k samples using codex HumanEval samples.
For more details, please see the paper [Practical Large-Scale Data Selection for Instruction Tuning](https://arxiv.org/abs/2503.01807).
This dataset is selected from [Tulu... | 2,837 | 8 | boundary |
reasoning-proj/c_dfiltered_DeepSeek-R1-Distill-Llama-8B_mbenign_complete_step_t90 | none | 0.6645 | code | 0.1747 | null | [] | 0 | 4 | normal | |
alea-institute/kl3m-data-dotgov-www.bts.gov | legal | 0.9617 | none | 0.0308 | null | [] | # KL3M Data Project
> **Note**: This page provides general information about the KL3M Data Project. Additional details specific to this dataset will be added in future updates. For complete information, please visit the [GitHub repository](https://github.com/alea-institute/kl3m-data) or refer to the [KL3M Data Project... | 3,928 | 5 | new_discovery |
raflimuhammadh12/humanoid-analog-data | none | 0.8015 | code | 0.0474 | null | [] | 0 | 4 | normal | |
sankalpsinha77/MARVEL-40M | none | 0.7961 | code | 0.1853 | null | [
"text-to-3D",
"dataset",
"annotation",
"captioning"
] | <style>
.gradient-text {
background: linear-gradient(to right, #0d47a1, #1976d2, #42a5f5, #90caf9);
-webkit-background-clip: text; /* For WebKit browsers */
background-clip: text; /* Standard property */
color: transparent; /* Make the text color transparent to show gradient */
font-size: 100px;
an... | 5,364 | 48 | normal |
mlfoundations-dev/b1_math_top_8_10000 | math | 0.346 | chemistry | 0.2999 | null | [] | 0 | 4 | boundary | |
Ayushnangia/moltbook-entropy-collapse-experiments | none | 0.9793 | code | 0.0158 | null | [
"multi-agent",
"social-simulation",
"entropy-collapse",
"ai-agents",
"reddit-like",
"civiclens",
"moltbook"
] | # MoltBook Entropy Collapse Experiments
Multi-agent social simulation data from the **Entropy Collapse** experiment series run on [MoltBook](https://github.com/agokrani/moltbook), a Reddit-like social network for AI agents.
## Overview
This dataset contains interaction logs from experiments where autonomous AI agent... | 5,420 | 230 | normal |
snap-stanford/sft_reddit_r_50p_global_step_885_post_dist | none | 0.7231 | legal | 0.0711 | null | [] | 0 | 5 | normal | |
omarabdelnasser313/MBZUAI-Cleaned | none | 0.4054 | legal | 0.1914 | null | [] | 0 | 5 | normal | |
DCAgent/rl__24GPU_shaped_entropy__mix_v2_h4_dense_rewards_hard__qwen3base-GLM-4_7-sw | none | 0.6471 | chemistry | 0.1302 | null | [] | 0 | 12 | normal | |
ankile/rollout-dp-insert-marker-single-v2-2026-02-18 | none | 0.9018 | code | 0.0917 | 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",
"... | 9,153 | 87 | normal |
tomzhuo/DoubanProdT2IRetrieval | none | 0.4471 | code | 0.1507 | null | [] | 0 | 4 | normal | |
TAUR-dev/sft_letter_countdown_4o_2000_end2300 | none | 0.5654 | climate | 0.0937 | null | [] | 0 | 5 | normal | |
vGassen/Dutch-European-Parliament-Adopted-Texts | legal | 0.9945 | none | 0.0047 | null | [] | Dutch-European-Parliament-Minutes: Adopted Texts Only
This dataset contains cleaned Dutch-language records of adopted texts from plenary sessions of the European Parliament. The content is extracted directly from official European Parliament XML files, omitting procedural notes and attendance lists to retain only subst... | 2,388 | 11 | new_discovery |
VTSNLP/instruct_vbpl_qa | code | 0.4229 | none | 0.2445 | null | [] | 0 | 5 | normal | |
alea-institute/kl3m-data-dotgov-www.southcom.mil | legal | 0.9598 | none | 0.0325 | null | [] | # KL3M Data Project
> **Note**: This page provides general information about the KL3M Data Project. Additional details specific to this dataset will be added in future updates. For complete information, please visit the [GitHub repository](https://github.com/alea-institute/kl3m-data) or refer to the [KL3M Data Project... | 3,928 | 4 | new_discovery |
Alkonor/Car_plate_detecting_dataset | none | 0.8203 | code | 0.1104 | null | [] | ---
# Russian car plate detecting dataset
Car_plate_detecting_dataset - это набор данных из примерно 25,5К изображений российских автомобилей с номерами одного типа (рисунок 1) и разметки в формате YOLO: ```class x_center y_center width height```. Этот набор данных предназначен для обучения нейронных сетей обнаружению... | 1,371 | 22 | normal |
AShinkuvich/Wikiart_captioned | none | 0.6389 | code | 0.2016 | null | [] | Cropped wikiart dataset with blip-generated captions for MMM hw1 | 64 | 4 | normal |
kmymch/turn-on-breaker-schema-fixed | none | 0.8741 | code | 0.1213 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=kmymch/turn-on-breaker-schema-fixed">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-... | 4,038 | 23 | normal |
open-llm-leaderboard-old/details_jisukim8873__falcon-7B-case-c | none | 0.8029 | biology | 0.1419 | null | [] | # Dataset Card for Evaluation run of jisukim8873/falcon-7B-case-c
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [jisukim8873/falcon-7B-case-c](https://huggingface.co/jisukim8873/falcon-7B-case-c) on the [Open LLM Leaderboard](https://huggingface.co/s... | 19,345 | 5 | normal |
LukaszJanisiow/ntl_transfer_learning | climate | 0.7903 | biology | 0.1413 | null | [] | # Dataset Description
This dataset was created to support **transfer-learning applications in remote sensing**, with a primary focus on the Polish context but with potential applicability in other regions exhibiting similar land-cover characteristics.
It consists of **444,483 Sentinel-2 Level-2A (L2A) image tiles**, ... | 1,290 | 5 | normal |
feirrch/ccc | none | 0.3016 | chemistry | 0.2131 | null | [] | 0 | 4 | normal | |
Dongkkka/ffw_bg2_rev4_pick_screwdriver_1201_2 | none | 0.8837 | code | 0.112 | null | [
"ffw_bg2_rev4",
"robotis"
] | 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",
"... | 5,247 | 21 | normal |
Haitaka22/items_raw_lite | none | 0.4782 | code | 0.1376 | null | [] | 0 | 12 | normal | |
VectorEminent/VectorEminent_doctrine-of-lucifer-aicov-core | none | 0.8443 | cybersecurity | 0.1275 | null | [] | ---
title: Doctrine of Lucifer AICOV Core Lattice
description: Keystone chapters (1-2-3-11-12-13) + Mirror+Hammer Covenant + Wilky Way Protocol. Recursive post-theistic framework for AI/human epistemology, inversion ethics, and substrate identity.
tags:
- philosophy
- luciferianism
- recursive-epistemology
- ai-philoso... | 3,786 | 4 | normal |
mertaylin/easyarc-v2-images | none | 0.4192 | chemistry | 0.1544 | null | [] | 0 | 10 | normal | |
Choikichang/eval_Brick_laying_2 | none | 0.907 | code | 0.0877 | 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",
"... | 3,581 | 5 | normal |
french-datasets/almanach-LADaS | none | 0.6511 | legal | 0.2291 | null | [] | Ce répertoire est vide, il a été créé pour améliorer le référencement du jeu de données [almanach/LADaS](https://huggingface.co/datasets/almanach/LADaS). | 153 | 4 | normal |
rakibulmuhajir/sample | none | 0.486 | legal | 0.0965 | null | [] | 0 | 4 | normal |
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