keep
Datasets
All datasets matching “keep”keepedit-release-data
KeepEdit Release Data
本仓库存放 KeepEdit 发布版实验数据与中间结果。为避免在 Hugging Face 上平铺十几万个小文件，发布内容采用归档分卷形式；下载后运行解包脚本即可恢复项目根目录下的 data/。
主要内容：
archives/data_processed.tar.000.part
archives/data_candidates.tar.000.part
archives/data_teachers.tar.000.part
...
archives/MANIFEST.sha256
scripts/unpack_release_data_archives.sh 会自动识别分卷，按文件名前缀顺序拼接后解包。
解包后得到：
data/processed/
magicbrush_train/train.jsonl
magicbrush_dev/dev.jsonl
images/
masks/
data/candidates/… See the full description on the dataset page: https://huggingface.co/datasets/Yitaallen/keepedit-release-data.oanda-trading-data
OANDA Trading Data - 10 Year Backfill
Historical forex (FX) candle data collected from OANDA v3 API for machine learning model training.
Dataset Summary
Period: 10 years of historical data
Instruments: EUR_USD, GBP_USD, USD_JPY, AUD_USD, USD_CHF
Granularities: H1 (1-hour candles) - optimized for model training
Total Records: ~310,000 rows (62k rows × 5 instruments)
Format: CSV with OHLCV columns
Data Format
Each CSV file contains:
instrument:… See the full description on the dataset page: https://huggingface.co/datasets/keeprich/oanda-trading-data.R1_keep_source_3_messages_only_final_decontaminatedx402-endpoint-readinessscvd.store x402 endpoint readiness corpus
scvd.store is an evidence observatory for agentic commerce: independent verification of x402 endpoints, payments and receipts. Before an agent pays an x402 endpoint, we check that it can be paid. After it pays, we check the signed receipt. Over time we watch endpoints and publish a dated, signed corpus. Sellers use it to prove a door works; buyers use it before spending. Every artifact is signed, expires, and names what we did not see. Not escrow, not… See the full description on the dataset page: https://huggingface.co/datasets/keeper-scvd/x402-endpoint-readiness.OpenR1-Math-220k-pruned-keep-0.9-end-start-0.5-correctnessOpenR1-Math-220k-pruned-keep-0.5-end-start-0.5