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{ "state_json": "{\"observation_1\":\"Chad went to get the wheel alignment measured on his car.\",\"observation_2\":\"The mechanic provided a working alignment with new body work.\"}", "decisions": [ { "id": "explanation", "kind": "judgment", "type": "choice", "instructions_json": "\"Whi...
[ { "decision_id": "explanation", "kind": "judgment_distribution", "annotation_kind": "hard_label", "ids": [ "2", "1" ], "probabilities": [ 1, 0 ], "metadata_json": "{}" } ]
train
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{ "state_json": "{\"observation_1\":\"Chad went to get the wheel alignment measured on his car.\",\"observation_2\":\"The mechanic provided a working alignment with new body work.\"}", "decisions": [ { "id": "explanation", "kind": "judgment", "type": "choice", "instructions_json": "\"Whi...
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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train
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en
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{ "state_json": "{\"observation_1\":\"Samantha was always the prettiest girl in school.\",\"observation_2\":\"Samantha ended up winning America's Next Top Model.\"}", "decisions": [ { "id": "explanation", "kind": "judgment", "type": "choice", "instructions_json": "\"Which explanation bes...
[ { "decision_id": "explanation", "kind": "judgment_distribution", "annotation_kind": "hard_label", "ids": [ "2", "1" ], "probabilities": [ 1, 0 ], "metadata_json": "{}" } ]
train
abductive_nli:anli:train:99
abductive_nli:301323370879d8579f26a964b88a593e0c3538c15ac90f2a2623eb15b415b9bf
en
08510c977034b5481b40d6d03db37bc9593a513db67377543ad91cd19e763225
{ "state_json": "{\"observation_1\":\"The boy loved telling scary stories.\",\"observation_2\":\"She mad him stop telling myths.\"}", "decisions": [ { "id": "explanation", "kind": "judgment", "type": "choice", "instructions_json": "\"Which explanation best connects the two observations?\...
[ { "decision_id": "explanation", "kind": "judgment_distribution", "annotation_kind": "hard_label", "ids": [ "2", "1" ], "probabilities": [ 0, 1 ], "metadata_json": "{}" } ]
train
abductive_nli:anli:train:100
abductive_nli:6a405407adbb824105f4e40a5b315b1053cb03367f1ea1d203bdfcd89df99dfd
en
256d5450c1ae6a6178b15025e3546ab2968e555445f703a608c87aa891a341c0
{ "state_json": "{\"observation_1\":\"The boy loved telling scary stories.\",\"observation_2\":\"She mad him stop telling myths.\"}", "decisions": [ { "id": "explanation", "kind": "judgment", "type": "choice", "instructions_json": "\"Which explanation best connects the two observations?\...
[ { "decision_id": "explanation", "kind": "judgment_distribution", "annotation_kind": "hard_label", "ids": [ "2", "1" ], "probabilities": [ 1, 0 ], "metadata_json": "{}" } ]
train
abductive_nli:anli:train:101
abductive_nli:6a405407adbb824105f4e40a5b315b1053cb03367f1ea1d203bdfcd89df99dfd
en
4f633f301bd0cf2333970883ddead8933e568c0de046c3c9c28dbe3e73459658
{ "state_json": "{\"observation_1\":\"The boy loved telling scary stories.\",\"observation_2\":\"She mad him stop telling myths.\"}", "decisions": [ { "id": "explanation", "kind": "judgment", "type": "choice", "instructions_json": "\"Which explanation best connects the two observations?\...
[ { "decision_id": "explanation", "kind": "judgment_distribution", "annotation_kind": "hard_label", "ids": [ "2", "1" ], "probabilities": [ 1, 0 ], "metadata_json": "{}" } ]
train
abductive_nli:anli:train:102
abductive_nli:6a405407adbb824105f4e40a5b315b1053cb03367f1ea1d203bdfcd89df99dfd
en
f67fb40c4cfe8efe46a1e6afca2b4aca13b70f71a5542c5946eb42d82424ca63
End of preview. Expand in Data Studio

Bekko System One dataset v0

This dataset is used to train the bekko-system-one-v0 model family.

Public Hugging Face dataset distribution.

Loading and storage

from datasets import load_dataset

dataset = load_dataset("hotchpotch/bekko-system-one-dataset-v0", "laya__typed_decisions")
test = dataset["test"]

Select a configuration explicitly. Parquet uses Zstandard compression and dictionary encoding; all decoded values and row order match the local Arrow release. Only training-manifest.json defines active membership. Configurations listed in quarantine-manifest.json are retained for audit and must not enter evaluation. Source attribution and license scope are retained in sources.json, SOURCES.md, dataset_metadata.json and _sources/. README has one leading YAML block listing every config and split. Hub manifests point to Parquet files; _sources/local-arrow/ preserves the historical Arrow manifests.

Typed decisions over shared state, with Choice, Noul and numeric Score supervision.

Train uses a 300,000-judgment cap per subset with complete cases/groups. Validation is sampled from source validation. Test matches the active S1MB dataset. Use training-manifest.json for membership.

Role Subsets Cases Judgments
train 153 6,589,190 8,421,789
evaluation 125 22,210 41,938
unlabeled 0 0 0

Columns

Column Purpose
input Shared state and typed decisions; the only inference input.
targets Aligned target distributions and annotation metadata.
split train, validation or test.
case_id Stable case identifier.
group_id Related-case grouping.
language Language code.
input_hash Stable input identity for audits.

Score values come from the explicit numeric criteria, not candidate indices. Noul retains authored false/true definitions. Preserve soft targets and candidate order. Repeated strings use physical dictionary encoding; decoded values remain strings.

Sources

See sources.json, SOURCES.md and dataset_metadata.json for upstream datasets, revisions, attribution and license scope. The laya__ namespace denotes the Laya-source conversion pipeline; it does not imply Laya authored those upstream datasets. laya__typed_decisions contains four synthetic workflows published by LocalLLaMA. No blanket relicensing is applied. namespace-map.json records names; identifiers remain stable.

Counts below are cases in this release, not upstream dataset sizes or judgment counts. A case can contain multiple judgments. Counts use the active training-manifest.json; 0 means that split is not included. MNLI validation combines validation_matched and validation_mismatched. Source links include acquisition datasets and original dataset references where recorded; they do not imply direct acquisition from each original.

Licenses below describe the original datasets. Follow the links for their full terms. Unknown means the data license has not been confirmed.

Config Upstream dataset / source Train Validation Test License / usage terms
abductive_nli allenai/art 166,937 100 0 Unknown
aegis2 nvidia/Aegis-AI-Content-Safety-Dataset-2.0 27,060 100 100 CC BY 4.0
agnews sentence-transformers/agnews
fancyzhx/ag_news
19,992 0 0 Unknown
all_nli sentence-transformers/all-nli 20,000 0 0 SNLI: CC BY-SA 4.0; MultiNLI: CC BY 3.0 / CC BY-SA 3.0 / OANC / public domain
aqua_rat deepmind/aqua_rat 97,113 100 100 Apache-2.0
arc allenai/ai2_arc 3,352 100 100 CC BY-SA 4.0
arct tasksource/arct 1,210 100 100 Apache-2.0
argument_quality ibm-research/argument_quality_ranking_30k 20,972 100 100 CC BY 3.0 (conflicting source notices)
arxiv hotchpotch/arxiv-ir-simulated-search-queries
open-index/open-arxiv
20,000 0 0 CC0 (metadata); paper licenses vary
babi_nli tasksource/babi_nli 18,590 100 100 BSD
banking77 PolyAI/banking77 10,003 0 100 CC BY 4.0
bbq lighteval/bbq_helm 0 0 100 CC BY 4.0
bge-hn-colliee Shitao/bge-m3-data: colliee
COLIEE (original benchmark)
463 0 0 Unknown
bge-hn-hotpotqa Shitao/bge-m3-data: hotpotqa
hotpotqa/hotpot_qa
84,176 0 0 CC BY-SA 4.0
bge-hn-miracl_en Shitao/bge-m3-data: miracl_en
miracl/miracl
2,861 0 0 Apache-2.0; Wikipedia text: CC BY-SA / GFDL
bge-hn-mr-tydi_english Shitao/bge-m3-data: mr-tydi_english
castorini/mr-tydi
3,513 0 0 Apache-2.0; Wikipedia text: CC BY-SA / GFDL
bge-hn-msmarco Shitao/bge-m3-data: msmarco
microsoft/ms_marco
300,000 0 0 Non-commercial research only
bge-hn-nli_for_simcse Shitao/bge-m3-data: nli_for_simcse
SimCSE NLI (SNLI + MultiNLI)
274,859 0 0 SNLI: CC BY-SA 4.0; MultiNLI: CC BY 3.0 / CC BY-SA 3.0 / OANC / public domain
bge-hn-nq Shitao/bge-m3-data: nq
google-research-datasets/natural_questions
58,551 0 0 CC BY-SA 3.0
bge-hn-pubmed_qa_labeled Shitao/bge-m3-data: pubmed_qa_labeled
qiaojin/PubMedQA
500 0 0 MIT (dataset); abstract rights vary
bge-hn-squad Shitao/bge-m3-data: squad
rajpurkar/squad
87,526 0 0 CC BY-SA 4.0
bge-hn-trivia Shitao/bge-m3-data: trivia
mandarjoshi/trivia_qa
60,298 0 0 Apache-2.0
bitext bitext/Bitext-customer-support-llm-chatbot-training-dataset 24,635 0 0 cdla-sharing-1.0
blimp nyu-mll/blimp 66,999 0 0 CC BY 4.0
boardgameqa tasksource/Boardgame-QA 15,000 100 100 CC BY 4.0
boolq google/boolq 7,993 100 0 CC BY-SA 3.0
canttalk nvidia/CantTalkAboutThis-Topic-Control-Dataset 10,818 0 100 CC BY 4.0
circa google-research-datasets/circa 34,015 0 0 CC BY 4.0
civil_comments google/civil_comments 42,857 100 100 CC0-1.0
cladder https://github.com/causalNLP/cladder 0 0 100 MIT
clinc clinc/clinc_oos 15,189 151 151 CC BY 3.0
coco_captions sentence-transformers/coco-captions 20,000 0 0 CC BY 4.0 (captions)
codesearch nomic-ai/nomic-embed-unsupervised-data
CodeSearchNet
19,731 0 0 MIT (tools); source-code licenses vary
commonsense_qa tau/commonsense_qa 9,741 100 0 MIT
commonsense_qa2 tasksource/commonsense_qa_2.0 9,264 100 0 CC BY 4.0
contract_nli https://github.com/stanfordnlp/contract-nli 423 61 100 CC BY 4.0
copa aps/super_glue 399 100 0 BSD-2-Clause (COPA)
corr2cause tasksource/corr2cause 274,168 100 100 MIT
cosmos_qa Samsoup/cosmos_qa 25,201 100 0 CC BY 4.0
creak amydeng2000/CREAK 10,173 100 100 MIT (repository); data license unconfirmed
crows_pairs https://github.com/nyu-mll/crows-pairs 0 0 100 CC BY-SA 4.0
dbpedia fancyzhx/dbpedia_14 300,000 0 100 CC BY-SA 3.0
defeasible_nli tasksource/defeasible-nli 88,448 100 100 Apache-2.0 / CC BY-SA 4.0
esci tasksource/esci 300,000 0 100 Apache-2.0
ethics hendrycks/ethics 87,143 100 100 MIT
ethos SetFit/ethos_binary 598 0 100 GPL-3.0
feasibility_qa tasksource/feasibilityQA 3,233 0 0 MIT
few_nerd DFKI-SLT/few-nerd 100,506 100 100 CC BY-SA 4.0
fig_qa nightingal3/fig-qa 7,962 100 0 MIT
fineweb hotchpotch/fineweb-ir-simulated-search-queries
HuggingFaceFW/fineweb-edu
19,987 0 0 ODC-By 1.0 (database); source-page rights vary
fol_nli tasksource/FOL-nli 82,188 100 100 Apache-2.0
followir mteb/Core17InstructionRetrieval
mteb/News21InstructionRetrieval
mteb/Robust04InstructionRetrieval
jhu-clsp/FollowIR-train
1,725 0 0 MIT (annotations); NYT corpus access terms
MIT (annotations); Washington Post access terms
MIT (annotations); TREC research-access terms
Apache-2.0
followir_core17 mteb/Core17InstructionRetrieval 0 0 100 MIT (annotations); NYT corpus access terms
followir_news21 mteb/News21InstructionRetrieval 0 0 100 MIT (annotations); Washington Post access terms
followir_robust04 mteb/Robust04InstructionRetrieval 0 0 100 MIT (annotations); TREC research-access terms
go_emotions google-research-datasets/go_emotions 10,714 100 100 Apache-2.0
gooaq sentence-transformers/gooaq
allenai/gooaq
19,993 0 0 Non-commercial use only
gretel_pii gretelai/gretel-pii-masking-en-v1 48,221 100 100 Apache-2.0
gsm8k openai/gsm8k 7,473 0 100 MIT
hans tasksource/hans 29,851 100 100 MIT
hatecheck Paul/hatecheck 0 0 100 CC BY 4.0
helpsteer nvidia/HelpSteer 32,872 100 0 CC BY 4.0
helpsteer2 nvidia/HelpSteer2 20,321 100 0 CC BY 4.0
helpsteer3 nvidia/HelpSteer3 37,844 100 0 CC BY 4.0
hh_rlhf Anthropic/hh-rlhf 160,149 0 100 MIT
hwu64 FastFit/hwu_64 7,251 100 100 CC BY 4.0
impli https://github.com/UKPLab/acl2022-impli 0 0 100 Apache-2.0
laya__ag_news fancyzhx/ag_news 120,000 0 100 Unknown
laya__enron_spam SetFit/enron_spam 28,143 0 100 Unknown
laya__phishing zefang-liu/phishing-email-dataset 17,535 0 0 LGPL-3.0
laya__typed_decisions LocalLLaMA/typed-decisions 1,200 0 100 Apache-2.0
lexcomp tasksource/lexcomp-nc-relation 1,272 100 100 Apache-2.0
logical_entailment tasksource/logical-entailment 99,754 100 100 Apache-2.0
lonli tasksource/lonli 0 0 100 MIT
massive AmazonScience/massive 10,463 100 100 CC BY 4.0
measuring_hate ucberkeley-dlab/measuring-hate-speech 30,000 0 0 CC BY 4.0
minds14 PolyAI/minds14 1,663 0 0 CC BY 4.0
miqa tasksource/miqa 0 0 100 CC BY 4.0
mnli nyu-mll/multi_nli 300,000 100 0 CC BY 3.0 / CC BY-SA 3.0 / OANC / public domain
monotonicity tasksource/monotonicity-entailment 5,379 0 0 Apache-2.0
mtop tasksource/mtop 15,597 100 100 CC BY-SA 4.0
natural_logic tasksource/naturallogic 6,386 0 0 Apache-2.0
natural_questions sentence-transformers/natural-questions
google-research-datasets/natural_questions
19,948 0 0 CC BY-SA 3.0
nlsat tasksource/nlsat 160,000 100 100 Apache-2.0
nlupp https://github.com/PolyAI-LDN/task-specific-datasets 3,040 0 0 CC BY 4.0
oasst1 OpenAssistant/oasst1 21,843 100 0 Apache-2.0
open_jev__amount-extraction-control-v1 ZefanCai/Open-Jev 32,984 100 100 CC0-1.0
open_jev__browser-control-v1 ZefanCai/Open-Jev 13,814 100 100 CC0-1.0
open_jev__citation-control-v1 ZefanCai/Open-Jev 2,520 100 100 CC0-1.0
open_jev__context-retention-control-v1 ZefanCai/Open-Jev 6,138 100 100 CC0-1.0
open_jev__customer-control-v1 ZefanCai/Open-Jev 4,206 100 100 CC0 (conversations); question license unknown
open_jev__drone-control-v1 ZefanCai/Open-Jev 15,694 100 100 CC0-1.0
open_jev__email-selection-control-v1 ZefanCai/Open-Jev 3,618 100 100 CC0-1.0
open_jev__entity-alignment-control-v1 ZefanCai/Open-Jev 6,944 100 100 CC0-1.0
open_jev__ir-control-v1 ZefanCai/Open-Jev 7,366 100 100 CC0-1.0
open_jev__mailroom-control-v1 ZefanCai/Open-Jev 73,472 100 100 CC0-1.0
open_jev__painting-geometry-v1 ZefanCai/Open-Jev 23,552 100 100 CC0-1.0
open_jev__phone-extraction-control-v1 ZefanCai/Open-Jev 12,350 100 100 CC0-1.0
open_jev__reasoning-control-v1 ZefanCai/Open-Jev 5,442 100 100 CC0-1.0
open_jev__silent-failure-control-v1 ZefanCai/Open-Jev 6,432 100 100 CC0-1.0
open_jev__snake-v1 ZefanCai/Open-Jev 12,508 100 100 CC0-1.0
open_jev__sponsor-segment-control-v1 ZefanCai/Open-Jev 6,345 100 100 CC0-1.0
open_jev__tic_tac_toe-v1 ZefanCai/Open-Jev 3,264 100 100 CC0-1.0
open_jev__tile_platformer-v1 ZefanCai/Open-Jev 1,346 0 0 CC0-1.0
open_jev__trex_runner-v1 ZefanCai/Open-Jev 28 0 0 CC0-1.0
open_jev__vizdoom-basic-v1 ZefanCai/Open-Jev 6,354 100 66 CC0 (numeric data)
open_jev__workflow-controls-v1__agent_trace_observability ZefanCai/Open-Jev 3,780 100 100 CC0-1.0
open_jev__workflow-controls-v1__customer_service ZefanCai/Open-Jev 4,392 100 100 CC0-1.0
open_jev__workflow-controls-v1__invoice_processing ZefanCai/Open-Jev 5,370 100 100 CC0-1.0
open_jev__workflow-controls-v1__security_incidents ZefanCai/Open-Jev 8,874 100 100 CC0-1.0
openbookqa allenai/openbookqa 4,870 100 100 Apache-2.0
patent_similarity tasksource/patent-phrase-similarity 36,473 100 100 CC BY 4.0
paws google-research-datasets/paws 49,334 100 100 Google custom license; Wikipedia text: CC BY-SA / GFDL
piqa lighteval/piqa 15,041 100 0 AFL-3.0
plane tasksource/PLANE-ood 161,073 0 100 CC BY 2.0
poem_sentiment google-research-datasets/poem_sentiment 892 100 100 CC BY 4.0
pubmed hotchpotch/pubmed-abstract-ir-simulated-search-queries
slinusc/PubMedAbstractsSubset
19,993 0 0 CC0 (metadata); abstract rights vary
qasc allenai/qasc 8,129 100 0 CC BY 4.0
qasper allenai/qasper 392 89 100 CC BY 4.0
quartz allenai/quartz 2,672 100 100 CC BY 4.0
robust_lr tasksource/robustLR 0 0 100 MIT
ropes allenai/ropes 6,379 100 0 CC BY 4.0
ruletaker tasksource/ruletaker 300,000 100 100 Apache-2.0
s1mb-generalization-contextual-choice Authored evaluation source 0 0 100 not separately declared
s1mb-generalization-contextual-noul Authored evaluation source 0 0 100 not separately declared
s1mb-generalization-contextual-score Authored evaluation source 0 0 100 not separately declared
s1mb-generalization-diverse-choice Authored evaluation source 0 0 100 not separately declared
s1mb-generalization-diverse-noul Authored evaluation source 0 0 100 not separately declared
s1mb-generalization-diverse-score Authored evaluation source 0 0 100 not separately declared
scicite tasksource/scicite 6,099 100 100 Unknown
scitail allenai/scitail 23,563 100 100 Apache-2.0
scone tasksource/scone 4,986 0 100 CC0-1.0
sdoh_nli tasksource/SDOH-NLI 20,465 100 100 CC BY 4.0
sgd https://github.com/google-research-datasets/dstc8-schema-guided-dialogue 173,481 100 100 CC BY-SA 4.0
sms_spam ucirvine/sms_spam 5,171 0 0 CC BY 4.0
snips https://github.com/sonos/nlu-benchmark 13,621 100 0 CC0-1.0
snli stanfordnlp/snli 300,000 100 100 CC BY-SA 4.0
social_iqa baber/social_i_qa 33,193 100 0 CC BY 4.0
space_nli tasksource/SpaceNLI 31,877 0 0 MIT
spartqa tasksource/spartqa-mchoice 22,472 100 100 MIT
squad2 rajpurkar/squad_v2 129,668 100 0 CC BY-SA 4.0
stepgame tasksource/stepgame 295,827 100 100 MIT
strategyqa tasksource/strategy-qa 2,289 0 0 MIT
synthetic_relevance__agnews sentence-transformers/agnews
fancyzhx/ag_news
4,800 0 0 Unknown
synthetic_relevance__all_nli sentence-transformers/all-nli 4,800 0 0 SNLI: CC BY-SA 4.0; MultiNLI: CC BY 3.0 / CC BY-SA 3.0 / OANC / public domain
synthetic_relevance__arxiv hotchpotch/arxiv-ir-simulated-search-queries
open-index/open-arxiv
4,800 0 0 CC0 (metadata); paper licenses vary
synthetic_relevance__bge_m3__hotpotqa Shitao/bge-m3-data: hotpotqa
hotpotqa/hotpot_qa
4,800 0 0 CC BY-SA 4.0
synthetic_relevance__bge_m3__miracl_en Shitao/bge-m3-data: miracl_en
miracl/miracl
4,800 0 0 Apache-2.0; Wikipedia text: CC BY-SA / GFDL
synthetic_relevance__bge_m3__mr-tydi_english Shitao/bge-m3-data: mr-tydi_english
castorini/mr-tydi
4,800 0 0 Apache-2.0; Wikipedia text: CC BY-SA / GFDL
synthetic_relevance__bge_m3__msmarco Shitao/bge-m3-data: msmarco
microsoft/ms_marco
4,608 0 0 Non-commercial research only
synthetic_relevance__bge_m3__nq Shitao/bge-m3-data: nq
google-research-datasets/natural_questions
4,800 0 0 CC BY-SA 3.0
synthetic_relevance__bge_m3__pubmed_qa_labeled Shitao/bge-m3-data: pubmed_qa_labeled
qiaojin/PubMedQA
4,000 0 0 MIT (dataset); abstract rights vary
synthetic_relevance__bge_m3__squad Shitao/bge-m3-data: squad
rajpurkar/squad
4,800 0 0 CC BY-SA 4.0
synthetic_relevance__bge_m3__trivia Shitao/bge-m3-data: trivia
mandarjoshi/trivia_qa
4,800 0 0 Apache-2.0
synthetic_relevance__coco_captions sentence-transformers/coco-captions 4,800 0 0 CC BY 4.0 (captions)
synthetic_relevance__codesearch nomic-ai/nomic-embed-unsupervised-data
CodeSearchNet
4,800 0 0 MIT (tools); source-code licenses vary
synthetic_relevance__fineweb hotchpotch/fineweb-ir-simulated-search-queries
HuggingFaceFW/fineweb-edu
4,800 0 0 ODC-By 1.0 (database); source-page rights vary
synthetic_relevance__gooaq sentence-transformers/gooaq
allenai/gooaq
4,800 0 0 Non-commercial use only
synthetic_relevance__nanobeir__NanoArguAna NanoArguAna 0 0 400 CC BY 4.0
synthetic_relevance__nanobeir__NanoDBPedia NanoDBPedia 0 0 400 CC BY-SA 3.0 / GFDL
synthetic_relevance__nanobeir__NanoFiQA2018 NanoFiQA2018 0 0 400 Non-commercial use only / CC BY-SA 2.5 / CC BY-SA 3.0
synthetic_relevance__nanobeir__NanoHotpotQA NanoHotpotQA 0 0 400 CC BY-SA 4.0
synthetic_relevance__nanobeir__NanoMSMARCO NanoMSMARCO 0 0 400 Non-commercial research only
synthetic_relevance__nanobeir__NanoNFCorpus NanoNFCorpus 0 0 400 Unknown
synthetic_relevance__nanobeir__NanoNQ NanoNQ 0 0 400 CC BY-SA 3.0
synthetic_relevance__nanobeir__NanoSCIDOCS NanoSCIDOCS 0 0 400 CC BY 4.0
synthetic_relevance__nanobeir__NanoTouche2020 NanoTouche2020 0 0 392 CC BY 4.0
synthetic_relevance__nanocoir NanoApps
NanoCodeFeedbackMT
NanoCodeFeedbackST
NanoCodeSearchNet
NanoCodeSearchNetCCR
NanoCodeTransOceanContest
NanoCodeTransOceanDL
NanoCosQA
NanoStackOverflowQA
NanoSyntheticText2SQL
0 0 800 Non-commercial research only
Apache-2.0
Non-commercial research only; source-code licenses vary
CC BY-SA 3.0
synthetic_relevance__natural_questions sentence-transformers/natural-questions
google-research-datasets/natural_questions
4,800 0 0 CC BY-SA 3.0
synthetic_relevance__pubmed hotchpotch/pubmed-abstract-ir-simulated-search-queries
slinusc/PubMedAbstractsSubset
4,800 0 0 CC0 (metadata); abstract rights vary
synthetic_relevance__trivia_qa sentence-transformers/trivia-qa
mandarjoshi/trivia_qa
4,800 0 0 Apache-2.0
synthetic_relevance__wikipedia_hard_negatives_english hotchpotch/wikipedia-english-ir-simulated-search-queries 4,800 0 0 CC BY-SA 4.0 / GFDL
taskmaster https://github.com/google-research-datasets/Taskmaster 17,295 0 0 CC BY 4.0
temporal_nli tasksource/temporal-nli 72,322 0 100 Apache-2.0
tracie tasksource/tracie 1,174 0 100 Apache-2.0
trivia_qa sentence-transformers/trivia-qa
mandarjoshi/trivia_qa
18,775 0 0 Apache-2.0
ud_ewt universal-dependencies/universal_dependencies 11,663 100 100 CC BY-SA 4.0
wikipedia_hard_negatives_english hotchpotch/wikipedia-english-ir-simulated-search-queries 300,000 0 0 CC BY-SA 4.0 / GFDL
winobias https://github.com/uclanlp/corefBias 0 0 100 MIT
winogrande allenai/winogrande 40,392 100 0 Apache-2.0
winowhy tasksource/winowhy 0 0 100 MIT
wiqa allenai/wiqa 29,324 100 100 Apache-2.0

License

Each subset follows its original dataset's license and usage terms. Check the linked original sources before using or redistributing the data. This collection does not change those licenses.

Where noted, code, annotations and source documents have different terms. Detailed source records are in sources.json. An unknown license is not permission to reuse the data.

For Open-Jev, retain its acquisition attribution and third-party notices. In open_jev__customer-control-v1, the generated conversations have a CC0-1.0 declaration, but the upstream question descriptions have no verified license and are not relicensed as CC0. Authored S1MB generalization subsets retain their recorded not separately declared status. See sources.json, SOURCES.md and the retained upstream notices for scope and qualifications.

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