datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
forge-3b-pretrain-data
FORGE-3B Pretraining Data
Tokenized and packed pretraining data for the FORGE-3B language model.
Stats
Total tokens: 51.4070B
Domains: 10/10
Sequence length: 2048 tokens
Format: .npy shards of shape (N, 2048) with dtype uint32
Tokenizer: CRAYON (xerv-crayon, standard profile)
Domain Breakdown
Domain
Weight
Tokens (B)
Status
fineweb_edu
30%
15.0008
✓
thestack
16%
8.0011
✓
wikipedia
8%
4.2791
✓
openwebmath
8%
3.9654
✓
books
7%… See the full description on the dataset page: https://huggingface.co/datasets/Phase-Technologies/forge-3b-pretrain-data.solana-dex-execution
Solana DEX quotes and routing
Jupiter swap quotes at fixed SOL input sizes, with the route legs returned for each quote. The panel supports comparisons of quoted output, reported price impact and routing across sizes and observation times.
Contents
Table
Record
solana_swap_quotes
A pair and input amount, with quoted output, price impact, value and route-leg count
solana_swap_routes
A leg of the chosen route, including venue, amounts and allocation… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/solana-dex-execution.l2-preconfirmation-reliability
L2 sequencer preconfirmation observations
Periodic observations of unsafe and safe heads on selected OP Stack networks, with subsequent checks of sampled unsafe block hashes against the chain reported by the endpoint. The panel records coverage and detected changes to previously observed blocks.
Contents
Table
Record
l2_preconfirmation_checks
A heartbeat with head and check statistics, or a detected violation
Using the data
row_type… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/l2-preconfirmation-reliability.bitcoin-mempool-lifecycle
Bitcoin and Litecoin mempool lifecycle
Transaction observations covering first sight, time spent pending, confirmation and disappearance from monitored mempools. The repository also contains comparisons between Bitcoin provider views and a measure of how much of each block was visible before it arrived.
Contents
Table
Record
bitcoin_transaction_lifecycle
A Bitcoin transaction's observed lifecycle, fee information and outcome
bitcoin_mempool_comparison… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/bitcoin-mempool-lifecycle.crypto-execution-costs
Crypto execution quotes and order-book depth
Ethereum swap quotes, route details and selected perpetual-futures order-book snapshots. The tables support comparisons of quoted output, provider fees, routing choices and available depth at the time of collection.
Contents
Table
Record
ethereum_swap_quotes
A swap quote at a specified size, with available provider-fee details
ethereum_swap_routes
A route leg, with venue, pool and amount where supplied… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/crypto-execution-costs.ethereum-gas-estimator-accuracy
Ethereum gas estimator comparisons
Ethereum mainnet gas suggestions from public RPC providers, recorded alongside provider-reported head blocks and subsequent block-fee statistics. The panel supports analysis of differences in gas recommendations and their relationship to observed block conditions.
Contents
Table
Record
ethereum_gas_recommendations
A provider's gas-price and priority-fee suggestions, with its reported head block
ethereum_block_fees
A… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/ethereum-gas-estimator-accuracy.bitcoin-fee-estimator-accuracy
Bitcoin fee estimator comparisons
Timestamped Bitcoin fee recommendations from public providers, paired with fee-rate percentiles from sampled transactions that were mined. The panel supports comparisons of provider recommendations across confirmation targets and network conditions.
Contents
Table
Record
bitcoin_fee_recommendations
A provider's fee recommendation at one observation time and confirmation target
bitcoin_fee_percentile_comparisons
A… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/bitcoin-fee-estimator-accuracy.equity-perp-price-discovery
Equity and pre-IPO perpetual prices
Snapshots of perpetual-futures mark prices, index prices and basis from Aevo. The instrument universe includes equities, ETFs, commodities, foreign exchange, pre-IPO contracts and crypto assets.
Contents
Table
Record
perpetual_mark_and_index_prices
An instrument's mark price, index price and basis at an observation time
Using the data
market_type identifies the instrument category. is_rwa flags the… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/equity-perp-price-discovery.remittance-pricing-panel
Remittance pricing panel
Repeated observations from Wise's public remittance comparison service, covering exchange rates, stated fees and estimated recipient amounts across selected currency corridors.
Contents
Table
Record
remittance_quotes
A provider's displayed comparison for a corridor and send amount, with rate, fees and recipient amount
Using the data
The collector queries twenty configured currency corridors at specified send… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/remittance-pricing-panel.crypto-options-surface
Crypto options surface and order books
Snapshots of listed options on Aevo, including marks, implied volatility, Greeks and a selected set of order books. The tables support analysis of volatility surfaces and the relationship between published marks and quoted prices.
Contents
Table
Record
options_surface
An instrument's strike, expiry, mark, forward, implied volatility and Greeks
options_order_book
Best bid and ask, available sizes and quoted… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/crypto-options-surface.fiat-onramp-pricing
Fiat on-ramp pricing
Indicative fiat-to-crypto pricing observations from public provider endpoints. The panel includes Mercuryo buy and sell quotes, plus Ramp reference prices and fee bounds.
Contents
Table
Record
fiat_onramp_quotes
A provider quote or reference-price observation for an asset and fiat currency, with available amounts and fee fields
Using the data
Separate rows by provider, kind and side before comparing prices. A… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/fiat-onramp-pricing.ethereum-attestation-pool
Ethereum attestation pool
Slot-level observations comparing attestations visible in a consensus client's pending pool with attestations subsequently included in blocks. The panel supports analysis of local pool coverage and inclusion counts.
Contents
Table
Record
ethereum_attestation_observations
Attester-slot counts observed pending and included, with their difference and collection coverage
Using the data
attesters_seen_in_pool… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/ethereum-attestation-pool.ethereum-mempool
Ethereum mempool observations
Ethereum pending-transaction activity, lifecycle observations and comparisons between provider views. The continuing panels contain minute-level summaries, transactions classified as dropped and differences between observed pending sets.
Contents
Table
Record
ethereum_mempool_minute_summary
A minute of pending-transaction activity
ethereum_dropped_transactions
A transaction classified as dropped during observation… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/ethereum-mempool.bitcoin-network-propagation
Bitcoin network propagation
Timestamped block and transaction announcements received from connected Bitcoin peers, with peer metadata and advertised relay-fee floors. These observations support analysis of announcement timing and differences between connected peers.
Contents
Table
Record
bitcoin_block_announcements
A peer's announcement of a block, timestamped on receipt
bitcoin_transaction_announcements
A retained transaction announcement from a peer… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/bitcoin-network-propagation.bitcoin-mining-pool-templates
Bitcoin mining pool templates
Timestamped Stratum job messages collected directly from Bitcoin mining pool endpoints. The data records changes in the work each endpoint sends to miners, including the previous block hash, coinbase data and clean-jobs flag.
Contents
Table
Record
bitcoin_mining_pool_jobs
A job received from a pool endpoint, with its observation time, nTime, coinbase, merkle branch count and clean-jobs flag
Using the data… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/bitcoin-mining-pool-templates.bitcoin-cash-network-propagation
Bitcoin Cash network propagation
Timestamped block and transaction announcements received from connected Bitcoin Cash peers, with peer metadata and advertised relay-fee floors. These observations support analysis of announcement timing and differences between connected peers.
Contents
Table
Record
bitcoin_cash_block_announcements
A peer's announcement of a block, timestamped on receipt
bitcoin_cash_transaction_announcements
A retained transaction… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/bitcoin-cash-network-propagation.dogecoin-network-propagation
Dogecoin network propagation
Timestamped block and transaction announcements received from connected Dogecoin peers, with peer metadata and advertised relay-fee floors. These observations support analysis of announcement timing and differences between connected peers.
Contents
Table
Record
dogecoin_block_announcements
A peer's announcement of a block, timestamped on receipt
dogecoin_transaction_announcements
A retained transaction announcement from a… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/dogecoin-network-propagation.litecoin-network-propagation
Litecoin network propagation
Timestamped block and transaction announcements received from connected Litecoin peers, with peer metadata and advertised relay-fee floors. These observations support analysis of announcement timing and differences between connected peers.
Contents
Table
Record
litecoin_block_announcements
A peer's announcement of a block, timestamped on receipt
litecoin_transaction_announcements
A retained transaction announcement from a… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/litecoin-network-propagation.ForgeWM-data
ForgeWM Training Data
Pre-encoded latents for training ForgeWM (arXiv:2608.14022).
Project Page: https://asdfo123.github.io/ForgeWM/
This is a re-packaging of the GameFactory
GF-Minecraft dataset, encoded into Wan2.1 VAE latents and sharded as LMDB for
direct use by ForgeWM training scripts. The underlying gameplay videos are
from GameFactory — we just made them training-ready.
Quick Start
huggingface-cli download ForgeWM/ForgeWM-data \
--local-dir… See the full description on the dataset page: https://huggingface.co/datasets/ForgeWM/ForgeWM-data.dataforge-sft-trajectories
DataForge SFT Trajectories
This dataset contains chunk-level expert_v1, versioned expert_v2,
inferability-audited expert_v3, and contract-repair expert_v4
supervised-fine-tuning records for the DataForge warmup model. The current
milestone is built from
split-safe dirty/clean CSV diffs (oracle_from_clean_diff) so model training is
anchored to audited labels rather than teacher guesses.
The earlier v0-smoke checkpoint proved the Kaggle-to-Hugging-Face handoff. It
is not a… See the full description on the dataset page: https://huggingface.co/datasets/Praneshrajan15/dataforge-sft-trajectories.s1K-1.1-dataforge-testing-20251219-213939forge-3b-sft-data
FORGE-3B SFT Data
Tokenized, chat-templated, loss-masked SFT data for the FORGE-3B language model.
Stats
Total tokens (incl. pad): 1.4007B
Domains: 6/6
Sequence length: 4096 tokens
Format: .npz shards with input_ids (uint32) and loss_mask (uint8), shape (N, 4096)
Chat template: <|SYS|>...<|/SYS|> <|USR|>...<|/USR|> <|ASST|>...<|/ASST|>
Tokenizer: CRAYON (xerv-crayon, standard profile) or fallback HF tokenizer
Domain Breakdown
Domain
Weight… See the full description on the dataset page: https://huggingface.co/datasets/Phase-Technologies/forge-3b-sft-data.dataforge2-dataset
Real Estate Faq Routing Benchmark Bilingual AI Buyer Fine Tuning Dataset
DataForge commercial dataset pack.
10000 rows with 9.40/10.
Formats: CSV.
Why this pack
Built for buyer intent and practical AI deployment
Fine-tuning friendly structure for fast iteration
Includes machine-readable metadata for immediate validation
Included files
Dataset bundle (CSV/JSONL and optional Parquet)
Schema and quality artifacts
Readme for deployment and usage guidance… See the full description on the dataset page: https://huggingface.co/datasets/lucasgd123/dataforge2-dataset.s1K-1.1-dataforge-testing-20251219-081400s1K-1.1-dataforge-testing-20251218-204703forge-3b-dpo-data
FORGE-3B DPO Preference Data
Tokenized (prompt, chosen, rejected) preference triples for DPO post-training
of FORGE-3B, built per the FORGE paper Section 6.2 / Appendix A.2.
This is data preparation output only — no model was trained to produce this.
Stats
Total pairs: 0 (paper target: ~200,000)
Domains: 0/4
Context length: 4096 tokens (paper Appendix A.2, DPO block)
Format: unpacked — one (prompt, chosen, rejected) triple per training example
Chat template:… See the full description on the dataset page: https://huggingface.co/datasets/Phase-Technologies/forge-3b-dpo-data.dataforge-economics
Dataset Card for dataforge-economics
Overview
This dataset, teknium/dataforge-economics, is a specialized collection of 1,000 synthetic examples in the field of economics. It has been generated using OpenAI's GPT-4 and a custom data synthesis pipeline named DataForge, developed by me.
Dataset Description
Data Collection and Synthesis
The data in teknium/dataforge-economics has been synthetically generated using OpenAI's GPT-4 language model. The… See the full description on the dataset page: https://huggingface.co/datasets/teknium/dataforge-economics.dataforge-20260905T082520
dataforge-20260905T082520
Training dataset generated with DataForge: 22552 records (22550 tabular, 2 text).
Records: 59344
By type: {'text': 2, 'tabular': 22550, 'image': 11777, 'video': 25015}
Splits: {'train': 47277, 'val': 5909, 'test': 5911}
Generated locally with DataForge (text/tabular/image/video/document -> a
single deduplicated, unified-schema JSONL dataset).
s1K-1.1-dataforge-testing-20251216-123019
Dataset Card for lewtun/s1K-1.1-dataforge-testing-20251216-123019
Dataset Summary
Synthetic data generated by DataForge:
Model: Qwen/Qwen3-4B-Instruct-2507 (main)
Source dataset: simplescaling/s1K-1.1 (train split).
Generation config: temperature=0.7, top_p=0.8, top_k=20, max_tokens=4096, model_max_context=32768
Speculative decoding: disabled
System prompt: None
User prompt: Column question
The run produced 1,000 samples and generated 3,406,836 (~3.4M) tokens.
You can… See the full description on the dataset page: https://huggingface.co/datasets/lewtun/s1K-1.1-dataforge-testing-20251216-123019.dataforge-20260904T124011
dataforge-20260904T124011
Training dataset generated with DataForge: 310 records (305 document, 5 image).
Records: 310
By type: {'image': 5, 'document': 305}
Splits: {'train': 248, 'val': 31, 'test': 31}
Generated locally with DataForge (text/tabular/image/video/document -> a
single deduplicated, unified-schema JSONL dataset).