datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
TinyTextThe entire NanoPhi Dataset is at train.jsonl
Separate Tasks Include
Math (Metamath, mammoth)
Code (Code Search Net)
Logic (Open-platypus)
Roleplay (PIPPA, RoleplayIO)
Textbooks (Tiny-text, Sciphi)
Textbook QA (Orca-text, Tiny-webtext)
VaTeXcodegolfThe entire codegolf stackexchange where questions have a score above 0, 14K code questions with all the answers
good for learning complex code questions, more unique challenges, code optimizations, and code not really mainstream, could help diversity
cnn_muffins
CNN Muffins
A compact dog-versus-muffin image-classification dataset built around the
well-known visual confusion between Chihuahua faces and blueberry muffins.
Dataset structure
Split
Dogs
Muffins
Total
Train
319
161
480
Validation
36
18
54
Hard-16 benchmark
8
8
16
The hard-16 benchmark is isolated from train and validation. The JSONL files
use repository-relative image paths:
The benchmark labels follow the original 4x4 checkerboard layout… See the full description on the dataset page: https://huggingface.co/datasets/VatsaDev/cnn_muffins.code-reviewA Scrape of the codereview stack exchange, good for high quality code
worldbuildnote: The dataset was fine, but the parquet bot appears to have messed it up somehow, if its not visible up there, look at dataset.jsonl
Updates:
Jan 7th 2024 - scraped all the worldbuilding stackexchange Q's, with 5+ rep, left with 18000 Q's.
Jan 8th 2024 - incorporated 100mb more in roleplay and worldbuilding, the dataset now includes Pippa, Bluemoon, and RolePlayIO
Jan 9th 2024 - More misc. worldbuilding data incorporated, the dataset is complete enough now
Worldbuild
A… See the full description on the dataset page: https://huggingface.co/datasets/VatsaDev/worldbuild.va-tool-calling-dataset
Voice Assistant Tool-Calling Dataset
Synthetic multi-turn conversations for fine-tuning a voice assistant with tool-calling capabilities.
Stats
Metric
Value
Total conversations
1585
Tool-call conversations
898
Direct-answer conversations
687
Tools defined
6
Generator model
anthropic/claude-haiku-4.5
Tools
Tool
Description
get_weather
Current weather and forecast
set_timer
Countdown timers and alarms… See the full description on the dataset page: https://huggingface.co/datasets/cowWhySo/va-tool-calling-dataset.ftDataanimebench-alphaAlpha version of some form of anime-bench
** This needs more data, if you have anime QA in text format, send it
200 questions, would consider the easy version of anime bench, as its just anime trivia,
anime challenge should be deeper into the lore of several anime, maybe even iceberg chart stuff
dataset rn:
25% one piece QA
25% DBZ QA
50% Anime Quotes, guess the person who said it
not in MCQ format, no random guess baseline, if it knows, it knows
QA made by forcing kindly requesting gemini… See the full description on the dataset page: https://huggingface.co/datasets/VatsaDev/animebench-alpha.SDG_VATE85 Sustainable Development Goals scenarios (5 scenarios per SDG) + 15 adversarial probes
binary forced-choice format
scored by pattern matching on SOLUTION: Option A/B
browse here: https://frank.udk.ai/vate-browser.html
test_arxivqapVAT_Accounting_Lawvatex-idsmathworld
Mathworld
Wolfram Mathworld scarped, but without images
Should be every link
gemma-4-e4b-vatex4K_FT
gemma-4-e4b-kinetics_4K_VATEX
SFT training dataset for Gemma 4 E4B video action recognition, combining Kinetics-40K and VATEX (overlap-cleaned).
Dataset Contents
File
Entries
Description
train_described.json
40,000
Kinetics-40K — converted from k400 annotation CSV
vatex_described.json
4,373
VATEX — captions synthesized via GPT-4o-mini
Video files are not included in this repo.
Please download VATEX videos from the original source: lmms-lab/VATEX… See the full description on the dataset page: https://huggingface.co/datasets/bear7011/gemma-4-e4b-vatex4K_FT.vat_sft_5w_oss_qwensmall_dataset500Dataset1000RowDatasetV1_Updates_assistantvat_sft_raw_dataFind-clubs-single-fieldv2_updated_prompt
