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 |
|---|---|---|---|---|---|---|---|---|---|---|
ola31/upload_edited_dataset_6 | none | 0.9032 | code | 0.0923 | null | [
"woojin",
"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",
"... | 5,058 | 4 | normal |
lightonai/fc-amf-ocr | finance | 0.9641 | none | 0.0205 | null | [] | <h1 style="color: #2c3e50; background-color: #ecf0f1; padding: 10px; border-left: 5px solid #3498db;">
<span style="font-weight: bold;">Dataset Card for Finance Commons AMF OCR dataset (FC-AMF-OCR)</span>
</h1>
## Dataset Description
- **Contact at LightOn:** [Said Taghadouini](mailto:said.taghadouini@lighton.ai)
... | 15,009 | 11,459 | new_discovery |
Gyikoo/TOFU-C-single | none | 0.6123 | code | 0.3806 | null | [
"unlearning",
"question answering",
"TOFU",
"NLP",
"LLM"
] | # TOFU: Task of Fictitious Unlearning 🍢
The TOFU dataset serves as a benchmark for evaluating unlearning performance of large language models on realistic tasks. The dataset comprises question-answer pairs based on autobiographies of 200 different authors that do not exist and are completely fictitiously generated by... | 2,686 | 333 | normal |
pdf2dataset/9cb4f15fc029fa794f6d3e0ce638cd5 | none | 0.4501 | biology | 0.1289 | null | [] | 0 | 3 | normal | |
tobaba2001/scs_phase2_ts_dataset11 | chemistry | 0.5697 | climate | 0.1751 | null | [] | 0 | 3 | normal | |
Alkatt/so_101_CubeToBowl_simple_v2 | none | 0.9155 | code | 0.0796 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=Alkatt/so_101_CubeToBowl_simple_v2">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-d... | 4,619 | 0 | normal |
IvanLazichny/coqa_falcon_instruct_generated | none | 0.5875 | code | 0.1284 | null | [] | 0 | 10 | normal | |
sleeping-ai/Wattpad-metadata-hot | none | 0.6486 | code | 0.1551 | null | [] | 0 | 26 | normal | |
connections-dev/res_gptoss20b_creative_1_reason_None_0.7_8192_Olmo-3_1-32B-Th_s800_e-1 | none | 0.8243 | code | 0.1507 | null | [] | 0 | 8 | normal | |
delphi-suite/logprobs-stories-mamba-1m | code | 0.4254 | none | 0.3628 | null | [] | 0 | 23 | boundary | |
mteb/NeuCLIR2022Retrieval_fas_top_250_only_w_correct-v2 | none | 0.7675 | code | 0.0925 | null | [] | 0 | 3 | normal | |
sjleslie/random_agreement_7_bins_long_0 | none | 0.669 | climate | 0.1612 | null | [] | 0 | 4 | normal | |
pthinc/smart_npc_mini | cybersecurity | 0.932 | none | 0.0524 | null | [
"npc",
"dataset",
"chat",
"logic",
"dialogue",
"mesaj",
"mantık",
"diyalog",
"prometech",
"game",
"finetune",
"smart",
"distill",
"bce",
"prettybird",
"qa",
"message",
"oyun"
] | # 📌 Smart NPC Mini Dataset
## 🇬🇧 English
### 🧠 Dataset Overview
**Smart NPC Mini Dataset** is a collection of infinitely diversified prompt generators in Python designed to produce high-quality conversational and logic prompts for **NPCs, chat simulations, logic puzzles, and dialogues**. This dataset focuses on ... | 2,980 | 18 | new_discovery |
griffinlabs/griffinlabs-cortexai-13112025-afternoon | none | 0.9464 | code | 0.0504 | null | [] | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- Trash Items: 6x kitchen towel (folded, unfolded, crumpled)
- Non-trash items: 1 Hand soap bottle (Dettol) and 1 freshener
- Variations - Location of non-trash items:
- top (0,1,4)
- middle (2)
- bottom (3)
- Sin... | 6,767 | 54 | normal |
Kyle1668/sfm-midtraining-blocklist-filtered-docs-20251123-0747 | none | 0.7506 | code | 0.1006 | null | [] | 0 | 44 | normal | |
E-katrin/sv_100 | chemistry | 0.3259 | none | 0.2418 | null | [] | 0 | 3 | boundary | |
extralit-dev/test_import_dataset_from_hub_with_classlabel_f3b1d6a7-e824-4c13-9ac7-fb0584a2794d | none | 0.7621 | code | 0.0756 | null | [] | 0 | 0 | normal | |
zuhdifr/algorithm_selector_fjssp_3algo_3s_30s_probability | none | 0.8623 | code | 0.0675 | null | [] | 0 | 8 | normal | |
notd5a/malicious-benign-sms-mms-dataset | cybersecurity | 0.524 | none | 0.2763 | null | [
"spam",
"smishing",
"benign",
"malicious",
"classification"
] | # Dataset v3 Changelog
Changes from dataset v2 (`model_datasets/v4/`) to v3 (`model_datasets/v2-4/`).
## Summary
v3 is a curated, rebalanced, and feature-enriched derivative of v2. The goal was to improve training signal quality by removing noisy examples, correcting mislabelled data, fixing the short-message class ... | 12,326 | 7 | normal |
odellus/eval_act_so100_grasp_250528_6k_part6 | none | 0.9222 | code | 0.074 | 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",
"... | 3,579 | 10 | normal |
omarkamali/wikipedia-monthly | none | 0.8888 | code | 0.0997 | null | [
"multilingual",
"wikipedia",
"100K<n<1M",
"10K<n<100K",
"10M<n<100M",
"1K<n<10K",
"1M<n<10M",
"n<1K",
"text-generation"
] | # 🚀 Wikipedia Monthly
*Last updated: March 14, 2026, 21:06 UTC*
This repository provides **monthly, multilingual dumps of Wikipedia**, processed and prepared for easy use in NLP projects.
## 📊 Current Statistics
| Metric | Current Export (March 2026) | All Exports (Total) |
|--------|------------|----------|
| **... | 20,668 | 16,009 | normal |
DCAgent2/DCAgent2_terminal_bench_2_DCAgent_r2egymGPT5CodexPassed-nl2bash-bugsseq_Qwen3-86af3457b | code | 0.8642 | none | 0.0779 | null | [] | 0 | 10 | new_discovery | |
zjhhhh/game_stage3_train_beta_0.1_zjhhhh__qwen2.5_3B_Instruct_min_stage3_seed_555134_eta_1e4_step_201 | none | 0.9275 | code | 0.0588 | null | [] | 0 | 4 | normal | |
nuuuwan/lk-hansard-chunks | none | 0.573 | code | 0.1244 | null | [] | 0 | 12 | normal | |
rli14/scratch | none | 0.8995 | code | 0.0839 | 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",
"... | 2,199 | 5 | normal |
Lots-of-LoRAs/task407_mickey_hi_sentence_perturbation_generation | none | 0.9559 | biology | 0.0224 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task407_mickey_hi_sentence_perturbation_generation
## Dataset Description
- **Homepage:** https://github.com/allenai/natural-instructions
- **Paper:** https://arxiv.org/abs/2204.07705
- **Paper:** https://arxiv.org/abs/240... | 2,325 | 13 | normal |
nuuuwan/lk-tourism-docs | none | 0.5594 | climate | 0.1192 | null | [] | 0 | 4 | normal | |
Asap7772/hh_length_persona_eval_4shot_infinstruct1e6 | none | 0.839 | code | 0.0804 | null | [] | 0 | 3 | normal | |
asingh15/arc-barc-processed-direct-max4k-qwenbase-thinking-diagnostic-abs-0211 | none | 0.8447 | medical | 0.0583 | null | [] | 0 | 16 | normal | |
hts98/UIT | chemistry | 0.2557 | none | 0.2056 | null | [] | 0 | 9 | boundary | |
v1ctor10/G_CD_cointegrated_pairs_CD_SJ_cluster_df | none | 0.3579 | chemistry | 0.2757 | null | [] | 0 | 5 | normal | |
UCSC-Admire/idiom-dataset-3-2024-11-10_22-25-19 | none | 0.7557 | code | 0.0998 | null | [] | 0 | 17 | normal | |
CODE-BLOCK/Weekly_household_expenditure | none | 0.4123 | code | 0.19 | null | [] | 0 | 5 | normal | |
tmpmodelsave/type34_noeot_plus_sftloss_step400tmp10 | none | 0.4986 | chemistry | 0.1624 | null | [] | 0 | 3 | normal | |
neko-llm/DPO_Adversarial_vanilla_ver2 | none | 0.859 | math | 0.0552 | null | [] | # DPO_Adversarial_vanilla_ver2
## データセットの説明
このデータセットは、以下の分割（split）ごとに整理された処理済みデータを含みます。
- **train**: 1 JSON files, 1 Parquet files
## データセット構成
各 split は JSON 形式と Parquet 形式の両方で利用可能です:
- **JSONファイル**: 各 split 用サブフォルダ内の元データ（`train/`）
- **Parquetファイル**: split名をプレフィックスとした最適化データ（`data/train_*.parquet`）
各... | 1,230 | 7 | normal |
andrewsiah/PersonaPromptPersonalLLM_999 | none | 0.971 | code | 0.0219 | null | [] | # Dataset Card for "PersonaPromptPersonalLLM_999"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 182 | 4 | normal |
sert121/ad_instruct_containing_a_w_e_m_o_r_s_c_h_test | none | 0.7395 | legal | 0.2245 | null | [] | ---
language: en
license: mit
---
# Dataset Name
adult_dataset_with_top_9_features
# Features Used
['occupation', 'hours-per-week', 'education', 'age', 'relationship', 'sex', 'workclass', 'marital-status', 'capital-gain']
## Dataset Description
... | 378 | 3 | normal |
winnieyangwannan/mitchell-filtered-facts-gemma-2-2b-None | none | 0.9729 | code | 0.0118 | null | [] | ---
dataset_info:
features:
- name: claim
dtype: string
- name: label
dtype: int64
- name: dataset
dtype: string
- name: qa_type
dtype: int64
- name: ind
dtype: int64
splits:
- name: facts
num_bytes: 39117
num_examples: 425
download_size: 19131
dataset_size: 39117
configs... | 1,208 | 4 | normal |
acengnew/camera-scene-labels-json | none | 0.9401 | chemistry | 0.0189 | null | [] | # Camera Scene Labels Dataset
JSON dataset for labeling indoor scenes captured
by humanoid robot cameras. | 106 | 4 | normal |
AliceQo564/Kalea | none | 0.4453 | biology | 0.168 | null | [] | 0 | 4 | normal | |
shivank21/conflict_questions_final | none | 0.3843 | climate | 0.1232 | null | [] | 0 | 6 | normal | |
windfromthenorth/rotated-90-demos-language | none | 0.902 | 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": "v2.1",
"... | 2,479 | 111 | normal |
Yuyeong/rw_roman-empire_node2vec3_1_public | none | 0.7132 | code | 0.1333 | null | [] | 0 | 5 | normal | |
B1AAB/Bitcoin-Graph-Sampled-Communities | finance | 0.4409 | none | 0.3825 | null | [
"Cryptocurrency",
"Bitcoin"
] | # Overview
[EBA](https://github.com/B1AAB/EBA) interfaces with the Bitcoin network to
create a graph of the full history of on-chain transactions,
which includes the complete trading details of `>8.72B` BTC.
This temporal heterogeneous graph consists of `>2.4B` nodes and `>39.7B`
time-stamped edges spanning more ... | 1,940 | 18 | boundary |
laudite-ufg/fleurs | biology | 0.3913 | none | 0.3065 | null | [] | 0 | 6 | boundary | |
LGizkde/pile-500-claude_taxonomy220 | biology | 0.5525 | climate | 0.2001 | null | [] | 0 | 4 | normal | |
bluecopa/dextr-training-data-v3 | none | 0.5951 | code | 0.1171 | null | [] | 0 | 4 | normal | |
leomaurodesenv/nvidia-aegis-v1 | none | 0.704 | cybersecurity | 0.0636 | null | [] | 0 | 12 | normal | |
PepitaxX/MNLP_M2_quantized_dataset | chemistry | 0.4487 | none | 0.1994 | null | [] | 0 | 2 | normal | |
sssssssshhhhhu/movielens_dpo_dataset_test | none | 0.7517 | code | 0.0873 | null | [] | 0 | 6 | normal | |
praveenchola/finetuning_ai | none | 0.438 | chemistry | 0.2187 | null | [] | 0 | 4 | normal | |
jkazdan/gemma-2-27b-it-harmful-5000-refusal-0 | none | 0.5288 | code | 0.2847 | null | [] | 0 | 4 | normal | |
maxseats/aihub-464-preprocessed-680GB-set-24 | none | 0.6892 | code | 0.0776 | null | [] | 0 | 5 | normal | |
katarinayuan/scCello_ood_donor_data1 | none | 0.9293 | biology | 0.0417 | null | [] | # Dataset Card for "scCello_ood_donor_data1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 177 | 94 | normal |
TheFactoryX/edition_0830_tatsu-lab-alpaca-readymade | none | 0.9724 | code | 0.0238 | null | [
"readymades",
"art",
"duchamp"
] | # edition_0830_tatsu-lab-alpaca-readymade
**A Readymade by TheFactoryX**
## Original Dataset
[tatsu-lab/alpaca](https://huggingface.co/datasets/tatsu-lab/alpaca)
## Process
This dataset is a "readymade" - inspired by Marcel Duchamp's concept of taking everyday objects and recontextualizing them as art.
**What we di... | 930 | 4 | normal |
TAUR-dev/D-EVAL__standard_eval_v3__FE_8k_ours_cd5arg-eval_rl | code | 0.4999 | none | 0.4213 | null | [] | 0 | 18 | boundary | |
rmndrnts/wikipedia_asr_splitted | none | 0.9751 | cybersecurity | 0.0075 | null | [] | Synthetic dataset based on highly specialised texts from Wikipedia. This version is splitted by category. Voiced using Yandex SpeechKit with random voices, roles and speech rate.
Can be used to evaluate ASR models not trained on given domains and to identify areas that the model does not handle well.
Non-splitted vers... | 397 | 41 | normal |
ainewtrend07/PHI4 | none | 0.3861 | biology | 0.1618 | null | [] | 0 | 3 | normal | |
DCAgent2/DCAgent_dev_set_71_tasks_DCAgent_nl2bash-nl2bash-bugsseq_Qwen3-8B-maxEps24-112965cea9d6 | none | 0.7464 | biology | 0.1527 | null | [] | 0 | 9 | normal | |
jacobmorrison/generation_23174 | none | 0.7241 | code | 0.2676 | null | [] | # allenai/open_instruct: Generation Dataset
See https://github.com/allenai/open-instruct/blob/main/docs/algorithms/rejection_sampling.md for more detail
## Configs
```
args:
{'add_timestamp': False,
'hf_entity': 'jacobmorrison',
'hf_repo_id': 'generation_23174',
'mode': 'generation',
'model_name_or_path': '/gene... | 1,383 | 156 | normal |
RLAIF/gm_toy_example | none | 0.4252 | climate | 0.1671 | null | [] | 0 | 17 | normal | |
jingjietan/sdcnl-suicide | none | 0.491 | legal | 0.0949 | null | [] | 0 | 5 | normal | |
DCAgent2/dev_set_71_tasks_rl_rl_conf_24GP_base_yaml_mode_path_r2eg_nl2b_stac_bugs_fixt_tebb946f3 | code | 0.6388 | none | 0.3442 | null | [] | 0 | 15 | normal | |
french-open-data/ccpv-pression-d-inventaire-plantes-vasculaires-tous-statuts-periode-recente-par-commune | biology | 0.8444 | none | 0.0957 | null | [
"communaute-de-communes-de-la-picardie-verte-ccpv",
"commune",
"flore",
"periode-recente-depuis-2010",
"plantes-vasculaires",
"pression-dinventaire",
"dataset_for_agent"
] | # CCPV - Pression d'inventaire - Plantes vasculaires tous statuts (Période récente - Par commune)
> [!NOTE]
> Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données **CCPV - Pression d'inventaire - Plantes vasculaires tous statuts (Période récente - Par commune)** qui est di... | 1,516 | 8 | new_discovery |
davanstrien/test-card | none | 0.9088 | code | 0.0687 | null | [] | # Dutch Language Dataset
## Dataset Description
A dataset for Dutch language annotation
## Annotation Statistics
<iframe src="https://huggingface.co/datasets/davanstrien/progress/embed/sql-console/D7gXwab" frameborder="0" width="100%" height="560px"></iframe>
- **Completed Annotations**: 7
- **Pending Annotations... | 797 | 5 | normal |
1337xyz1337xyz/crafter-gptoss120b-xml-improved7-long-11421318 | none | 0.9241 | code | 0.071 | null | [
"crafter",
"imitation-learning",
"reinforcement-learning",
"llm",
"openai",
"vllm"
] | # Crafter trajectories: openai/gpt-oss-120b (XML agent)
This dataset contains Crafter rollouts collected with an XML-based LLM agent.
- Model: `openai/gpt-oss-120b`
- Backend: vLLM (Helios GH200, 1 node, 4 GPUs)
- Run/job id: `11421318`
- Episodes: 256
## Columns
The main table includes (among others):
- `episode_i... | 634 | 6 | normal |
Lots-of-LoRAs/task1390_wscfixed_coreference | none | 0.8361 | biology | 0.1154 | null | [] | # Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1390_wscfixed_coreference
## 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 ... | 2,304 | 67 | normal |
chuonghm/MT-CIR | none | 0.7293 | code | 0.2344 | null | [
"retrieval",
"cir",
"mtcir",
"claude",
"llm"
] | # CoLLM: A Large Language Model for Composed Image Retrieval
[[Project Page](https://collm-cvpr25.github.io/)] [[Code](https://github.com/hmchuong/CoLLM)]
*Multi-Text Composed Image Retrieval (MTCIR) dataset from the paper. Please refer to [LLaVA-Pretrain](https://huggingface.co/datasets/liuhaotian/LLaVA-Pretrain) to... | 1,036 | 25 | normal |
DCAgent2/terminal_bench_2_exp_syh_r2egym_askllm_constrained_glm_4_7_traces_jupiter_clean4d5462ff | code | 0.8777 | none | 0.0986 | null | [] | 0 | 6 | new_discovery | |
mugezhang/xnli-en-ipa_ipa_romanized | none | 0.6511 | chemistry | 0.1022 | null | [] | 0 | 234 | normal | |
Junyi-tao/perfectly_normal_comma_seq_inject_every_16 | none | 0.8243 | chemistry | 0.0732 | null | [] | 0 | 4 | normal | |
lucaspedroza/image-caption-dataset | none | 0.4707 | code | 0.1204 | null | [] | 0 | 4 | normal | |
ArshiaE/non-grasp-manipulation-task-2_10_percent | none | 0.8962 | code | 0.0992 | 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",
"... | 3,574 | 24 | normal |
iit-patna-cse-ai/ArogyaBodha_ActCri | none | 0.6849 | biology | 0.1138 | null | [] | 0 | 12 | normal | |
XDUImageLab/SandThink | none | 0.7593 | code | 0.1139 | null | [
"embodied-ai",
"vla",
"chain-of-thought",
"dpo"
] | # SandThink Dataset (v1.0)
SandThink 是一个专为**具身智能 (Embodied AI)** 任务设计的大规模指令微调与偏好对齐数据集。该数据集通过结构化的 **Chain-of-Thought (CoT)** 推理过程，显著提升了 Vision-Language-Action (VLA) 模型在复杂环境下的任务拆解、路径规划和动作执行能力。
---
## 📊 数据集概览 (Dataset Summary)
本数据集包含三个核心组件，总计约 **37,000** 条高质量数据：
| 文件名 | 类型 | 规模 | 说明 |
| :--- | :--- | :--- | :--- |
|... | 2,373 | 4,907 | normal |
authoranonymous321/EditSVGDataset | none | 0.5401 | code | 0.146 | null | [] | 0 | 10 | normal | |
yzembodied/libero_90_image_task_70 | none | 0.8743 | code | 0.1141 | 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",
"... | 3,335 | 4 | normal |
kimbuja/x_dataset_4 | none | 0.9196 | code | 0.0322 | 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... | 4,862 | 7 | normal |
elicase4/elephant | 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",
"... | 2,942 | 5 | normal |
mytestdpo/llama3_it_gsm8k_sft_model_gen2_gsm8k_type2 | none | 0.756 | code | 0.1478 | null | [] | 0 | 6 | normal | |
magnifi/Phi3_intent_v48_1_w_unknown | none | 0.5769 | chemistry | 0.1319 | null | [] | 0 | 3 | normal | |
Mohammadta/BEAM | none | 0.9823 | code | 0.0139 | null | [] | # Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs
This huggingface page contains data for the paper: **Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs**
## Abstract
Evaluating the abilities of large language models (LLMs) for tasks that require long-term memor... | 5,992 | 1,111 | normal |
laurktz/RAG-RL-HotpotQA-Min-Max-Shuffled | none | 0.6113 | code | 0.2376 | null | [] | 0 | 15 | normal | |
mlfoundations-dev/oh_v1.3_airoboros_x.125 | none | 0.458 | chemistry | 0.1944 | null | [] | 0 | 5 | normal | |
CongWei1230/iem_test_task1_s4_100_vie | none | 0.7081 | code | 0.0916 | null | [] | 0 | 3 | normal | |
kaiwenw/distill-r1-qwen-1.5b-hmmt-feb-2025-with-orm | none | 0.91 | code | 0.0276 | null | [] | 0 | 5 | normal | |
SEACrowd/udhr | none | 0.8588 | legal | 0.104 | null | [
"self-supervised-pretraining"
] | The Universal Declaration of Human Rights (UDHR) is a milestone document in the history of
human rights. Drafted by representatives with different legal and cultural backgrounds from
all regions of the world, it set out, for the first time, fundamental human rights to be
universally protected. The Declaration was adopt... | 3,333 | 21 | normal |
OALL/details_wenbopan__Faro-Yi-9B | none | 0.9388 | code | 0.0495 | null | [] | # Dataset Card for Evaluation run of wenbopan/Faro-Yi-9B
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [wenbopan/Faro-Yi-9B](https://huggingface.co/wenbopan/Faro-Yi-9B).
The dataset is composed of 136 configuration, each one coresponding to one of t... | 24,794 | 6 | normal |
hbfreed/Picklebot-130K | none | 0.6365 | code | 0.1823 | null | [
"baseball",
"sports",
"video-classification",
"computer-vision"
] | # Dataset Card for Picklebot130k
<!-- Provide a quick summary of the dataset. -->
130 thousand video clips of balls and strikes from MLB games from the 2016 season through the 2023 season.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is.... | 4,124 | 43 | normal |
Asap7772/processed_image_unseen-fewshot_dpo-userprofile_ours_withjpg | none | 0.8571 | code | 0.0553 | null | [] | 0 | 6 | normal | |
zjhhhh/iter2_ver2_adversary_min_expand_ver2_tokenized_gap_ratio_0.22 | none | 0.9211 | code | 0.0455 | null | [] | 0 | 5 | normal | |
CLAPv2/emo_webds_2_formatted_batch_25 | none | 0.6002 | code | 0.1874 | null | [] | 0 | 7 | normal | |
TheRealPilot638/Falcon3-1B-bon_4_no_chunking_H200 | chemistry | 0.7355 | none | 0.1801 | null | [] | 0 | 5 | normal | |
govindkushwaha6263/Judgement-Summary | finance | 0.3713 | legal | 0.2719 | null | [] | # Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## D... | 4,360 | 3 | boundary |
raimbekovm/astana-real-estate | finance | 0.8971 | none | 0.0939 | null | [
"real-estate",
"housing",
"prices",
"central-asia",
"kazakhstan",
"astana",
"property"
] | # Astana Real Estate Dataset
A comprehensive dataset of apartment listings from Astana, Kazakhstan with prices, features, and locations.
## Dataset Description
This dataset contains **18,388 real estate listings** scraped from krisha.kz (the largest real estate platform in Kazakhstan) in December 2025 - January 2026... | 5,395 | 32 | new_discovery |
RobotisSW/ffw_sg2_rev1_task_203_0121_bokyung_1 | none | 0.8777 | code | 0.118 | null | [
"ffw_sg2_rev1",
"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",
"... | 4,886 | 186 | normal |
PaxwellPaxwell/law_documents_criminal_qa_ready_v2_train | legal | 0.9301 | none | 0.0456 | null | [] | 0 | 4 | new_discovery | |
kjngansgfa/dataset_gzs68fy1 | none | 0.4356 | climate | 0.1059 | null | [] | 0 | 4 | normal | |
CrawlAiHuggingFace/multiplied_dice-art-run1 | none | 0.9159 | code | 0.0805 | 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",
"... | 3,572 | 3 | normal |
mlfoundations-dev/openthoughts3_30k-filter-thought-4096-tokens-conversations | none | 0.916 | code | 0.023 | null | [] | 0 | 6 | normal |
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