---
configs:
- config_name: aegis2
  data_files:
  - split: test
    path:
    - data/aegis2/test/00000-of-00001.parquet
- config_name: aqua_rat
  data_files:
  - split: test
    path:
    - data/aqua_rat/test/00000-of-00001.parquet
- config_name: arc
  data_files:
  - split: test
    path:
    - data/arc/test/00000-of-00001.parquet
- config_name: arct
  data_files:
  - split: test
    path:
    - data/arct/test/00000-of-00001.parquet
- config_name: argument_quality
  data_files:
  - split: test
    path:
    - data/argument_quality/test/00000-of-00001.parquet
- config_name: babi_nli
  data_files:
  - split: test
    path:
    - data/babi_nli/test/00000-of-00001.parquet
- config_name: banking77
  data_files:
  - split: test
    path:
    - data/banking77/test/00000-of-00001.parquet
- config_name: bbq
  data_files:
  - split: test
    path:
    - data/bbq/test/00000-of-00001.parquet
- config_name: boardgameqa
  data_files:
  - split: test
    path:
    - data/boardgameqa/test/00000-of-00001.parquet
- config_name: canttalk
  data_files:
  - split: test
    path:
    - data/canttalk/test/00000-of-00001.parquet
- config_name: civil_comments
  data_files:
  - split: test
    path:
    - data/civil_comments/test/00000-of-00001.parquet
- config_name: cladder
  data_files:
  - split: test
    path:
    - data/cladder/test/00000-of-00001.parquet
- config_name: clinc
  data_files:
  - split: test
    path:
    - data/clinc/test/00000-of-00001.parquet
- config_name: contract_nli
  data_files:
  - split: test
    path:
    - data/contract_nli/test/00000-of-00001.parquet
- config_name: corr2cause
  data_files:
  - split: test
    path:
    - data/corr2cause/test/00000-of-00001.parquet
- config_name: creak
  data_files:
  - split: test
    path:
    - data/creak/test/00000-of-00001.parquet
- config_name: crows_pairs
  data_files:
  - split: test
    path:
    - data/crows_pairs/test/00000-of-00001.parquet
- config_name: dbpedia
  data_files:
  - split: test
    path:
    - data/dbpedia/test/00000-of-00001.parquet
- config_name: defeasible_nli
  data_files:
  - split: test
    path:
    - data/defeasible_nli/test/00000-of-00001.parquet
- config_name: esci
  data_files:
  - split: test
    path:
    - data/esci/test/00000-of-00001.parquet
- config_name: ethics
  data_files:
  - split: test
    path:
    - data/ethics/test/00000-of-00001.parquet
- config_name: ethos
  data_files:
  - split: test
    path:
    - data/ethos/test/00000-of-00001.parquet
- config_name: few_nerd
  data_files:
  - split: test
    path:
    - data/few_nerd/test/00000-of-00001.parquet
- config_name: fol_nli
  data_files:
  - split: test
    path:
    - data/fol_nli/test/00000-of-00001.parquet
- config_name: followir_core17
  data_files:
  - split: test
    path:
    - data/followir_core17/test/00000-of-00001.parquet
- config_name: followir_news21
  data_files:
  - split: test
    path:
    - data/followir_news21/test/00000-of-00001.parquet
- config_name: followir_robust04
  data_files:
  - split: test
    path:
    - data/followir_robust04/test/00000-of-00001.parquet
- config_name: go_emotions
  data_files:
  - split: test
    path:
    - data/go_emotions/test/00000-of-00001.parquet
- config_name: gretel_pii
  data_files:
  - split: test
    path:
    - data/gretel_pii/test/00000-of-00001.parquet
- config_name: gsm8k
  data_files:
  - split: test
    path:
    - data/gsm8k/test/00000-of-00001.parquet
- config_name: hans
  data_files:
  - split: test
    path:
    - data/hans/test/00000-of-00001.parquet
- config_name: hatecheck
  data_files:
  - split: test
    path:
    - data/hatecheck/test/00000-of-00001.parquet
- config_name: hh_rlhf
  data_files:
  - split: test
    path:
    - data/hh_rlhf/test/00000-of-00001.parquet
- config_name: hwu64
  data_files:
  - split: test
    path:
    - data/hwu64/test/00000-of-00001.parquet
- config_name: impli
  data_files:
  - split: test
    path:
    - data/impli/test/00000-of-00001.parquet
- config_name: laya__ag_news
  data_files:
  - split: test
    path:
    - data/laya__ag_news/test/00000-of-00001.parquet
- config_name: laya__enron_spam
  data_files:
  - split: test
    path:
    - data/laya__enron_spam/test/00000-of-00001.parquet
- config_name: laya__typed_decisions
  data_files:
  - split: test
    path:
    - data/laya__typed_decisions/test/00000-of-00001.parquet
- config_name: lexcomp
  data_files:
  - split: test
    path:
    - data/lexcomp/test/00000-of-00001.parquet
- config_name: logical_entailment
  data_files:
  - split: test
    path:
    - data/logical_entailment/test/00000-of-00001.parquet
- config_name: lonli
  data_files:
  - split: test
    path:
    - data/lonli/test/00000-of-00001.parquet
- config_name: massive
  data_files:
  - split: test
    path:
    - data/massive/test/00000-of-00001.parquet
- config_name: miqa
  data_files:
  - split: test
    path:
    - data/miqa/test/00000-of-00001.parquet
- config_name: mtop
  data_files:
  - split: test
    path:
    - data/mtop/test/00000-of-00001.parquet
- config_name: nlsat
  data_files:
  - split: test
    path:
    - data/nlsat/test/00000-of-00001.parquet
- config_name: open_jev__amount-extraction-control-v1
  data_files:
  - split: test
    path:
    - data/open_jev__amount-extraction-control-v1/test/00000-of-00001.parquet
- config_name: open_jev__browser-control-v1
  data_files:
  - split: test
    path:
    - data/open_jev__browser-control-v1/test/00000-of-00001.parquet
- config_name: open_jev__citation-control-v1
  data_files:
  - split: test
    path:
    - data/open_jev__citation-control-v1/test/00000-of-00001.parquet
- config_name: open_jev__context-retention-control-v1
  data_files:
  - split: test
    path:
    - data/open_jev__context-retention-control-v1/test/00000-of-00001.parquet
- config_name: open_jev__customer-control-v1
  data_files:
  - split: test
    path:
    - data/open_jev__customer-control-v1/test/00000-of-00001.parquet
- config_name: open_jev__drone-control-v1
  data_files:
  - split: test
    path:
    - data/open_jev__drone-control-v1/test/00000-of-00001.parquet
- config_name: open_jev__email-selection-control-v1
  data_files:
  - split: test
    path:
    - data/open_jev__email-selection-control-v1/test/00000-of-00001.parquet
- config_name: open_jev__entity-alignment-control-v1
  data_files:
  - split: test
    path:
    - data/open_jev__entity-alignment-control-v1/test/00000-of-00001.parquet
- config_name: open_jev__ir-control-v1
  data_files:
  - split: test
    path:
    - data/open_jev__ir-control-v1/test/00000-of-00001.parquet
- config_name: open_jev__mailroom-control-v1
  data_files:
  - split: test
    path:
    - data/open_jev__mailroom-control-v1/test/00000-of-00001.parquet
- config_name: open_jev__painting-geometry-v1
  data_files:
  - split: test
    path:
    - data/open_jev__painting-geometry-v1/test/00000-of-00001.parquet
- config_name: open_jev__phone-extraction-control-v1
  data_files:
  - split: test
    path:
    - data/open_jev__phone-extraction-control-v1/test/00000-of-00001.parquet
- config_name: open_jev__reasoning-control-v1
  data_files:
  - split: test
    path:
    - data/open_jev__reasoning-control-v1/test/00000-of-00001.parquet
- config_name: open_jev__silent-failure-control-v1
  data_files:
  - split: test
    path:
    - data/open_jev__silent-failure-control-v1/test/00000-of-00001.parquet
- config_name: open_jev__snake-v1
  data_files:
  - split: test
    path:
    - data/open_jev__snake-v1/test/00000-of-00001.parquet
- config_name: open_jev__sponsor-segment-control-v1
  data_files:
  - split: test
    path:
    - data/open_jev__sponsor-segment-control-v1/test/00000-of-00001.parquet
- config_name: open_jev__tic_tac_toe-v1
  data_files:
  - split: test
    path:
    - data/open_jev__tic_tac_toe-v1/test/00000-of-00001.parquet
- config_name: open_jev__vizdoom-basic-v1
  data_files:
  - split: test
    path:
    - data/open_jev__vizdoom-basic-v1/test/00000-of-00001.parquet
- config_name: open_jev__workflow-controls-v1__agent_trace_observability
  data_files:
  - split: test
    path:
    - data/open_jev__workflow-controls-v1__agent_trace_observability/test/00000-of-00001.parquet
- config_name: open_jev__workflow-controls-v1__customer_service
  data_files:
  - split: test
    path:
    - data/open_jev__workflow-controls-v1__customer_service/test/00000-of-00001.parquet
- config_name: open_jev__workflow-controls-v1__invoice_processing
  data_files:
  - split: test
    path:
    - data/open_jev__workflow-controls-v1__invoice_processing/test/00000-of-00001.parquet
- config_name: open_jev__workflow-controls-v1__security_incidents
  data_files:
  - split: test
    path:
    - data/open_jev__workflow-controls-v1__security_incidents/test/00000-of-00001.parquet
- config_name: openbookqa
  data_files:
  - split: test
    path:
    - data/openbookqa/test/00000-of-00001.parquet
- config_name: patent_similarity
  data_files:
  - split: test
    path:
    - data/patent_similarity/test/00000-of-00001.parquet
- config_name: paws
  data_files:
  - split: test
    path:
    - data/paws/test/00000-of-00001.parquet
- config_name: plane
  data_files:
  - split: test
    path:
    - data/plane/test/00000-of-00001.parquet
- config_name: poem_sentiment
  data_files:
  - split: test
    path:
    - data/poem_sentiment/test/00000-of-00001.parquet
- config_name: qasper
  data_files:
  - split: test
    path:
    - data/qasper/test/00000-of-00001.parquet
- config_name: quartz
  data_files:
  - split: test
    path:
    - data/quartz/test/00000-of-00001.parquet
- config_name: robust_lr
  data_files:
  - split: test
    path:
    - data/robust_lr/test/00000-of-00001.parquet
- config_name: ruletaker
  data_files:
  - split: test
    path:
    - data/ruletaker/test/00000-of-00001.parquet
- config_name: s1mb-generalization-contextual-choice
  data_files:
  - split: test
    path:
    - data/s1mb-generalization-contextual-choice/test/00000-of-00001.parquet
- config_name: s1mb-generalization-contextual-noul
  data_files:
  - split: test
    path:
    - data/s1mb-generalization-contextual-noul/test/00000-of-00001.parquet
- config_name: s1mb-generalization-contextual-score
  data_files:
  - split: test
    path:
    - data/s1mb-generalization-contextual-score/test/00000-of-00001.parquet
- config_name: s1mb-generalization-diverse-choice
  data_files:
  - split: test
    path:
    - data/s1mb-generalization-diverse-choice/test/00000-of-00001.parquet
- config_name: s1mb-generalization-diverse-noul
  data_files:
  - split: test
    path:
    - data/s1mb-generalization-diverse-noul/test/00000-of-00001.parquet
- config_name: s1mb-generalization-diverse-score
  data_files:
  - split: test
    path:
    - data/s1mb-generalization-diverse-score/test/00000-of-00001.parquet
- config_name: scicite
  data_files:
  - split: test
    path:
    - data/scicite/test/00000-of-00001.parquet
- config_name: scitail
  data_files:
  - split: test
    path:
    - data/scitail/test/00000-of-00001.parquet
- config_name: scone
  data_files:
  - split: test
    path:
    - data/scone/test/00000-of-00001.parquet
- config_name: sdoh_nli
  data_files:
  - split: test
    path:
    - data/sdoh_nli/test/00000-of-00001.parquet
- config_name: sgd
  data_files:
  - split: test
    path:
    - data/sgd/test/00000-of-00001.parquet
- config_name: snli
  data_files:
  - split: test
    path:
    - data/snli/test/00000-of-00001.parquet
- config_name: spartqa
  data_files:
  - split: test
    path:
    - data/spartqa/test/00000-of-00001.parquet
- config_name: stepgame
  data_files:
  - split: test
    path:
    - data/stepgame/test/00000-of-00001.parquet
- config_name: synthetic_relevance__nanobeir__NanoArguAna
  data_files:
  - split: test
    path:
    - data/synthetic_relevance__nanobeir__NanoArguAna/test/00000-of-00001.parquet
- config_name: synthetic_relevance__nanobeir__NanoDBPedia
  data_files:
  - split: test
    path:
    - data/synthetic_relevance__nanobeir__NanoDBPedia/test/00000-of-00001.parquet
- config_name: synthetic_relevance__nanobeir__NanoFiQA2018
  data_files:
  - split: test
    path:
    - data/synthetic_relevance__nanobeir__NanoFiQA2018/test/00000-of-00001.parquet
- config_name: synthetic_relevance__nanobeir__NanoHotpotQA
  data_files:
  - split: test
    path:
    - data/synthetic_relevance__nanobeir__NanoHotpotQA/test/00000-of-00001.parquet
- config_name: synthetic_relevance__nanobeir__NanoMSMARCO
  data_files:
  - split: test
    path:
    - data/synthetic_relevance__nanobeir__NanoMSMARCO/test/00000-of-00001.parquet
- config_name: synthetic_relevance__nanobeir__NanoNFCorpus
  data_files:
  - split: test
    path:
    - data/synthetic_relevance__nanobeir__NanoNFCorpus/test/00000-of-00001.parquet
- config_name: synthetic_relevance__nanobeir__NanoNQ
  data_files:
  - split: test
    path:
    - data/synthetic_relevance__nanobeir__NanoNQ/test/00000-of-00001.parquet
- config_name: synthetic_relevance__nanobeir__NanoSCIDOCS
  data_files:
  - split: test
    path:
    - data/synthetic_relevance__nanobeir__NanoSCIDOCS/test/00000-of-00001.parquet
- config_name: synthetic_relevance__nanobeir__NanoTouche2020
  data_files:
  - split: test
    path:
    - data/synthetic_relevance__nanobeir__NanoTouche2020/test/00000-of-00001.parquet
- config_name: synthetic_relevance__nanocoir
  data_files:
  - split: test
    path:
    - data/synthetic_relevance__nanocoir/test/00000-of-00001.parquet
- config_name: temporal_nli
  data_files:
  - split: test
    path:
    - data/temporal_nli/test/00000-of-00001.parquet
- config_name: tracie
  data_files:
  - split: test
    path:
    - data/tracie/test/00000-of-00001.parquet
- config_name: ud_ewt
  data_files:
  - split: test
    path:
    - data/ud_ewt/test/00000-of-00001.parquet
- config_name: winobias
  data_files:
  - split: test
    path:
    - data/winobias/test/00000-of-00001.parquet
- config_name: winowhy
  data_files:
  - split: test
    path:
    - data/winowhy/test/00000-of-00001.parquet
- config_name: wiqa
  data_files:
  - split: test
    path:
    - data/wiqa/test/00000-of-00001.parquet
tags:
- typed-decisions
- choice
- noul
- score
size_categories:
- 10K<n<100K
---

# S1MB dataset

This is the public evaluation dataset for **S1MB (System One Mosaic Benchmark)**, which evaluates System One Decision Models on **Choice, Noul, and Score** tasks. It is a test-only collection with 106 active subsets, 14,009 cases, and 26,269 judgments.

[Release article](https://huggingface.co/blog/hotchpotch/system-one-mosaic-benchmark/) · [Leaderboard](https://huggingface.co/spaces/hotchpotch/S1MB-leaderboard) · [Evaluation code](https://github.com/hotchpotch/S1MB) · [Evaluation results](https://huggingface.co/datasets/hotchpotch/s1mb-result)

The collection includes tasks derived from existing datasets and six synthetic benchmarks authored and self-reviewed using GPT-6-Astra. The synthetic labels are not independently human-validated. S1MB does not establish unseen-task generalization or training-data non-overlap.

## Loading and storage

```python
from datasets import load_dataset

dataset = load_dataset("hotchpotch/s1mb-dataset", "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. Parquet files listed in `quarantine-manifest.json` are retained for audit, excluded from named configurations, 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.

Use `training-manifest.json` for the active test membership. `all-data-manifest.json` also includes quarantined sources for audit only.

| Role | Subsets | Cases | Judgments |
|---|---:|---:|---:|
| train | 0 | 0 | 0 |
| evaluation | 106 | 14,009 | 26,269 |

## 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.

<!-- BEGIN GENERATED SOURCE TABLE -->
This is a **test-only** benchmark. The table lists cases and judgments in the active `training-manifest.json`; a case can contain multiple judgments. Quarantined subsets are excluded.
Source links include acquisition datasets and original dataset references where recorded.

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 | Test cases | Judgments | License / usage terms |
|---|---|---:|---:|---|
| `aegis2` | [nvidia/Aegis-AI-Content-Safety-Dataset-2.0](https://huggingface.co/datasets/nvidia/Aegis-AI-Content-Safety-Dataset-2.0) | 100 | 148 | [CC BY 4.0](https://huggingface.co/datasets/nvidia/Aegis-AI-Content-Safety-Dataset-2.0/blob/d86bb8bedff51d25ac834ab7838f1cc61acb7a2c/README.md) |
| `aqua_rat` | [deepmind/aqua_rat](https://huggingface.co/datasets/deepmind/aqua_rat) | 100 | 100 | [Apache-2.0](https://huggingface.co/datasets/deepmind/aqua_rat/blob/33301c6a050c96af81f63cad5562cb5363e88971/README.md) |
| `arc` | [allenai/ai2_arc](https://huggingface.co/datasets/allenai/ai2_arc) | 100 | 100 | [CC BY-SA 4.0](https://huggingface.co/datasets/allenai/ai2_arc/blob/210d026faf9955653af8916fad021475a3f00453/README.md) |
| `arct` | [tasksource/arct](https://huggingface.co/datasets/tasksource/arct) | 100 | 100 | [Apache-2.0](https://huggingface.co/datasets/tasksource/arct/raw/main/README.md) |
| `argument_quality` | [ibm-research/argument_quality_ranking_30k](https://huggingface.co/datasets/ibm-research/argument_quality_ranking_30k) | 100 | 200 | [CC BY 3.0 (conflicting source notices)](https://huggingface.co/datasets/ibm-research/argument_quality_ranking_30k) |
| `babi_nli` | [tasksource/babi_nli](https://huggingface.co/datasets/tasksource/babi_nli) | 100 | 100 | [BSD](https://huggingface.co/datasets/tasksource/babi_nli/blob/80b689dc668b50f3640fc5368fd1893d385cb4e1/README.md) |
| `banking77` | [PolyAI/banking77](https://huggingface.co/datasets/PolyAI/banking77) | 100 | 100 | [CC BY 4.0](https://huggingface.co/datasets/PolyAI/banking77/blob/90d4e2ee5521c04fc1488f065b8b083658768c57/README.md) |
| `bbq` | [lighteval/bbq_helm](https://huggingface.co/datasets/lighteval/bbq_helm) | 100 | 100 | [CC BY 4.0](https://huggingface.co/datasets/lighteval/bbq_helm/blob/10937569dd76b6f33b2ff3572382ed87458e7856/README.md) |
| `boardgameqa` | [tasksource/Boardgame-QA](https://huggingface.co/datasets/tasksource/Boardgame-QA) | 100 | 100 | [CC BY 4.0](https://huggingface.co/datasets/tasksource/Boardgame-QA/blob/78e38c3c8df3b4f6de7ae8bd1fc6a8bd1f31be56/README.md) |
| `canttalk` | [nvidia/CantTalkAboutThis-Topic-Control-Dataset](https://huggingface.co/datasets/nvidia/CantTalkAboutThis-Topic-Control-Dataset) | 100 | 100 | [CC BY 4.0](https://huggingface.co/datasets/nvidia/CantTalkAboutThis-Topic-Control-Dataset/raw/main/README.md) |
| `civil_comments` | [google/civil_comments](https://huggingface.co/datasets/google/civil_comments) | 100 | 700 | [CC0-1.0](https://huggingface.co/datasets/google/civil_comments/blob/f2970eb3a55777454c94069077cc8d9b5866312d/README.md) |
| `cladder` | [https://github.com/causalNLP/cladder](https://github.com/causalNLP/cladder) | 100 | 100 | [MIT](https://github.com/causalNLP/cladder/blob/3d2d1169b4b939a09048a6a75956c8972a93cc38/README.md) |
| `clinc` | [clinc/clinc_oos](https://huggingface.co/datasets/clinc/clinc_oos) | 151 | 151 | [CC BY 3.0](https://huggingface.co/datasets/clinc/clinc_oos/raw/main/README.md) |
| `contract_nli` | [https://github.com/stanfordnlp/contract-nli](https://github.com/stanfordnlp/contract-nli) | 100 | 1,700 | [CC BY 4.0](https://github.com/stanfordnlp/contract-nli/raw/HEAD/README.md) |
| `corr2cause` | [tasksource/corr2cause](https://huggingface.co/datasets/tasksource/corr2cause) | 100 | 100 | [MIT](https://huggingface.co/datasets/tasksource/corr2cause/raw/main/README.md) |
| `creak` | [amydeng2000/CREAK](https://huggingface.co/datasets/amydeng2000/CREAK) | 100 | 100 | [MIT (repository); data license unconfirmed](https://github.com/yasumasaonoe/creak) |
| `crows_pairs` | [https://github.com/nyu-mll/crows-pairs](https://github.com/nyu-mll/crows-pairs) | 100 | 100 | [CC BY-SA 4.0](https://github.com/nyu-mll/crows-pairs/blob/8aaac11c485473159ec9328a65253a5be9a479dc/README.md) |
| `dbpedia` | [fancyzhx/dbpedia_14](https://huggingface.co/datasets/fancyzhx/dbpedia_14) | 100 | 100 | [CC BY-SA 3.0](https://huggingface.co/datasets/fancyzhx/dbpedia_14/raw/main/README.md) |
| `defeasible_nli` | [tasksource/defeasible-nli](https://huggingface.co/datasets/tasksource/defeasible-nli) | 100 | 100 | [Apache-2.0 / CC BY-SA 4.0](https://huggingface.co/datasets/tasksource/defeasible-nli/blob/7c4a57df9d8de5c36d4e9caa977907b5e8469c4f/README.md) |
| `esci` | [tasksource/esci](https://huggingface.co/datasets/tasksource/esci) | 100 | 100 | [Apache-2.0](https://huggingface.co/datasets/tasksource/esci/blob/8113b17a5d4099e20243282c926f1bc1a08a4d13/README.md) |
| `ethics` | [hendrycks/ethics](https://huggingface.co/datasets/hendrycks/ethics) | 100 | 100 | [MIT](https://huggingface.co/datasets/hendrycks/ethics/blob/b8b47c589f8bee77175b8648e5497278b68da48a/README.md) |
| `ethos` | [SetFit/ethos_binary](https://huggingface.co/datasets/SetFit/ethos_binary) | 100 | 100 | [GPL-3.0](https://github.com/intelligence-csd-auth-gr/Ethos-Hate-Speech-Dataset) |
| `few_nerd` | [DFKI-SLT/few-nerd](https://huggingface.co/datasets/DFKI-SLT/few-nerd) | 100 | 358 | [CC BY-SA 4.0](https://huggingface.co/datasets/DFKI-SLT/few-nerd/blob/205f3e9c9f3577ea2561d43f2f62dc249ab92d5b/README.md) |
| `fol_nli` | [tasksource/FOL-nli](https://huggingface.co/datasets/tasksource/FOL-nli) | 100 | 100 | [Apache-2.0](https://huggingface.co/datasets/tasksource/FOL-nli/blob/6b8a2ec01b226ed871fbde4677a31146ac5f370c/README.md) |
| `followir_core17` | [mteb/Core17InstructionRetrieval](https://huggingface.co/datasets/mteb/Core17InstructionRetrieval) | 100 | 200 | [MIT (annotations); NYT corpus access terms](https://huggingface.co/datasets/mteb/Core17InstructionRetrieval/raw/main/README.md) |
| `followir_news21` | [mteb/News21InstructionRetrieval](https://huggingface.co/datasets/mteb/News21InstructionRetrieval) | 100 | 200 | [MIT (annotations); Washington Post access terms](https://huggingface.co/datasets/mteb/News21InstructionRetrieval) |
| `followir_robust04` | [mteb/Robust04InstructionRetrieval](https://huggingface.co/datasets/mteb/Robust04InstructionRetrieval) | 100 | 200 | [MIT (annotations); TREC research-access terms](https://huggingface.co/datasets/mteb/Robust04InstructionRetrieval/blob/0495a5cb69aa8fa5bca81bd56ac248911c19eeb6/README.md) |
| `go_emotions` | [google-research-datasets/go_emotions](https://huggingface.co/datasets/google-research-datasets/go_emotions) | 100 | 2,800 | [Apache-2.0](https://huggingface.co/datasets/google-research-datasets/go_emotions/blob/add492243ff905527e67aeb8b80c082af02207c3/README.md) |
| `gretel_pii` | [gretelai/gretel-pii-masking-en-v1](https://huggingface.co/datasets/gretelai/gretel-pii-masking-en-v1) | 100 | 353 | [Apache-2.0](https://huggingface.co/datasets/gretelai/gretel-pii-masking-en-v1/blob/e06eb1499ca8d54470f085021cd8e54f9efac7fd/README.md) |
| `gsm8k` | [openai/gsm8k](https://huggingface.co/datasets/openai/gsm8k) | 100 | 100 | [MIT](https://huggingface.co/datasets/openai/gsm8k/blob/740312add88f781978c0658806c59bc2815b9866/README.md) |
| `hans` | [tasksource/hans](https://huggingface.co/datasets/tasksource/hans) | 100 | 100 | [MIT](https://huggingface.co/datasets/tasksource/hans/blob/8f107047d34fdfb57abfde38ec5196d63f7dee33/README.md) |
| `hatecheck` | [Paul/hatecheck](https://huggingface.co/datasets/Paul/hatecheck) | 100 | 100 | [CC BY 4.0](https://huggingface.co/datasets/Paul/hatecheck/raw/main/README.md) |
| `hh_rlhf` | [Anthropic/hh-rlhf](https://huggingface.co/datasets/Anthropic/hh-rlhf) | 100 | 100 | [MIT](https://huggingface.co/datasets/Anthropic/hh-rlhf/raw/main/README.md) |
| `hwu64` | [FastFit/hwu_64](https://huggingface.co/datasets/FastFit/hwu_64) | 100 | 100 | [CC BY 4.0](https://github.com/xliuhw/NLU-Evaluation-Data/blob/master/README.md) |
| `impli` | [https://github.com/UKPLab/acl2022-impli](https://github.com/UKPLab/acl2022-impli) | 100 | 100 | [Apache-2.0](https://github.com/UKPLab/acl2022-impli/raw/HEAD/README.md) |
| `laya__ag_news` | [fancyzhx/ag_news](https://huggingface.co/datasets/fancyzhx/ag_news) | 100 | 100 | [Unknown](http://groups.di.unipi.it/~gulli/AG_corpus_of_news_articles.html) |
| `laya__enron_spam` | [SetFit/enron_spam](https://huggingface.co/datasets/SetFit/enron_spam) | 100 | 100 | [Unknown](https://nlp.cs.aueb.gr/en/software_data.html) |
| `laya__typed_decisions` | [LocalLLaMA/typed-decisions](https://huggingface.co/datasets/LocalLLaMA/typed-decisions) | 100 | 500 | [Apache-2.0](https://huggingface.co/datasets/LocalLLaMA/typed-decisions/blob/main/README.md) |
| `lexcomp` | [tasksource/lexcomp-nc-relation](https://huggingface.co/datasets/tasksource/lexcomp-nc-relation) | 100 | 100 | [Apache-2.0](https://huggingface.co/datasets/tasksource/lexcomp-nc-relation/blob/4f7fa5d487d71ac1543bc7849993b5dfc2e361ac/README.md) |
| `logical_entailment` | [tasksource/logical-entailment](https://huggingface.co/datasets/tasksource/logical-entailment) | 100 | 100 | [Apache-2.0](https://huggingface.co/datasets/tasksource/logical-entailment/raw/main/README.md) |
| `lonli` | [tasksource/lonli](https://huggingface.co/datasets/tasksource/lonli) | 100 | 100 | [MIT](https://huggingface.co/datasets/tasksource/lonli/blob/f17e55b8f60da2f32720c1a16e4b6149145c662f/README.md) |
| `massive` | [AmazonScience/massive](https://huggingface.co/datasets/AmazonScience/massive) | 100 | 200 | [CC BY 4.0](https://huggingface.co/datasets/AmazonScience/massive/blob/ff6bd8e4b27c3543e4f8fe2108f32bb95a6f8740/README.md) |
| `miqa` | [tasksource/miqa](https://huggingface.co/datasets/tasksource/miqa) | 100 | 100 | [CC BY 4.0](https://huggingface.co/datasets/tasksource/miqa/blob/b0b4a19860eea1740f04a7836612ec239e08e838/README.md) |
| `mtop` | [tasksource/mtop](https://huggingface.co/datasets/tasksource/mtop) | 100 | 200 | [CC BY-SA 4.0](https://huggingface.co/datasets/tasksource/mtop/blob/9fa95557ba2809ad05943880eee5231b4f2463fb/README.md) |
| `nlsat` | [tasksource/nlsat](https://huggingface.co/datasets/tasksource/nlsat) | 100 | 100 | [Apache-2.0](https://huggingface.co/datasets/tasksource/nlsat/raw/main/README.md) |
| `open_jev__amount-extraction-control-v1` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__browser-control-v1` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__citation-control-v1` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__context-retention-control-v1` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__customer-control-v1` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0 (conversations); question license unknown](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__drone-control-v1` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__email-selection-control-v1` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__entity-alignment-control-v1` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__ir-control-v1` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__mailroom-control-v1` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__painting-geometry-v1` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__phone-extraction-control-v1` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__reasoning-control-v1` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__silent-failure-control-v1` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__snake-v1` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__sponsor-segment-control-v1` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__tic_tac_toe-v1` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__vizdoom-basic-v1` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 66 | 66 | [CC0 (numeric data)](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__workflow-controls-v1__agent_trace_observability` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__workflow-controls-v1__customer_service` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__workflow-controls-v1__invoice_processing` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `open_jev__workflow-controls-v1__security_incidents` | [ZefanCai/Open-Jev](https://huggingface.co/datasets/ZefanCai/Open-Jev) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/ZefanCai/Open-Jev/blob/c67699e13d0ae25e35b77165a4b6b079bedc8aba/README.md) |
| `openbookqa` | [allenai/openbookqa](https://huggingface.co/datasets/allenai/openbookqa) | 100 | 100 | [Apache-2.0](https://huggingface.co/datasets/allenai/openbookqa) |
| `patent_similarity` | [tasksource/patent-phrase-similarity](https://huggingface.co/datasets/tasksource/patent-phrase-similarity) | 100 | 100 | [CC BY 4.0](https://huggingface.co/datasets/tasksource/patent-phrase-similarity/blob/ff1868796e44ac9ec02e870b447fde6c5bf2d6e4/README.md) |
| `paws` | [google-research-datasets/paws](https://huggingface.co/datasets/google-research-datasets/paws) | 100 | 100 | [Google custom license; Wikipedia text: CC BY-SA / GFDL](https://github.com/google-research-datasets/paws/blob/master/LICENSE) |
| `plane` | [tasksource/PLANE-ood](https://huggingface.co/datasets/tasksource/PLANE-ood) | 100 | 100 | [CC BY 2.0](https://huggingface.co/datasets/tasksource/PLANE-ood/raw/main/README.md) |
| `poem_sentiment` | [google-research-datasets/poem_sentiment](https://huggingface.co/datasets/google-research-datasets/poem_sentiment) | 100 | 100 | [CC BY 4.0](https://huggingface.co/datasets/google-research-datasets/poem_sentiment/blob/685b95a2787a869b7bae6c4480810f57fe23b48e/README.md) |
| `qasper` | [allenai/qasper](https://huggingface.co/datasets/allenai/qasper) | 100 | 100 | [CC BY 4.0](https://huggingface.co/datasets/allenai/qasper/blob/fdc9d8214fbab5dd782958601db4d678e6934a54/README.md) |
| `quartz` | [allenai/quartz](https://huggingface.co/datasets/allenai/quartz) | 100 | 100 | [CC BY 4.0](https://huggingface.co/datasets/allenai/quartz/blob/28c1dbb56caf81799296cb17892fa73402e23464/README.md) |
| `robust_lr` | [tasksource/robustLR](https://huggingface.co/datasets/tasksource/robustLR) | 100 | 100 | [MIT](https://github.com/INK-USC/RobustLR/blob/main/LICENSE) |
| `ruletaker` | [tasksource/ruletaker](https://huggingface.co/datasets/tasksource/ruletaker) | 100 | 100 | [Apache-2.0](https://huggingface.co/datasets/tasksource/ruletaker/raw/main/README.md) |
| `s1mb-generalization-contextual-choice` | [Authored evaluation source](SOURCES.md#s1mb-generalization-contextual-choice) | 100 | 100 | not separately declared |
| `s1mb-generalization-contextual-noul` | [Authored evaluation source](SOURCES.md#s1mb-generalization-contextual-noul) | 100 | 100 | not separately declared |
| `s1mb-generalization-contextual-score` | [Authored evaluation source](SOURCES.md#s1mb-generalization-contextual-score) | 100 | 100 | not separately declared |
| `s1mb-generalization-diverse-choice` | [Authored evaluation source](SOURCES.md#s1mb-generalization-diverse-choice) | 100 | 100 | not separately declared |
| `s1mb-generalization-diverse-noul` | [Authored evaluation source](SOURCES.md#s1mb-generalization-diverse-noul) | 100 | 100 | not separately declared |
| `s1mb-generalization-diverse-score` | [Authored evaluation source](SOURCES.md#s1mb-generalization-diverse-score) | 100 | 100 | not separately declared |
| `scicite` | [tasksource/scicite](https://huggingface.co/datasets/tasksource/scicite) | 100 | 100 | [Unknown](https://huggingface.co/datasets/tasksource/scicite) |
| `scitail` | [allenai/scitail](https://huggingface.co/datasets/allenai/scitail) | 100 | 100 | [Apache-2.0](https://huggingface.co/datasets/allenai/scitail/blob/0cc4353235b289165dfde1c7c5d1be983f99ce44/README.md) |
| `scone` | [tasksource/scone](https://huggingface.co/datasets/tasksource/scone) | 100 | 100 | [CC0-1.0](https://huggingface.co/datasets/tasksource/scone/blob/505ed270f9e9865c6cfab1e222d804fedd837127/README.md) |
| `sdoh_nli` | [tasksource/SDOH-NLI](https://huggingface.co/datasets/tasksource/SDOH-NLI) | 100 | 100 | [CC BY 4.0](https://huggingface.co/datasets/tasksource/SDOH-NLI/blob/75d4cc5f67ecb3f3c44cf5a3fadc3c9579f2f148/README.md) |
| `sgd` | [https://github.com/google-research-datasets/dstc8-schema-guided-dialogue](https://github.com/google-research-datasets/dstc8-schema-guided-dialogue) | 100 | 100 | [CC BY-SA 4.0](https://github.com/google-research-datasets/dstc8-schema-guided-dialogue/raw/HEAD/README.md) |
| `snli` | [stanfordnlp/snli](https://huggingface.co/datasets/stanfordnlp/snli) | 100 | 100 | [CC BY-SA 4.0](https://huggingface.co/datasets/stanfordnlp/snli/raw/main/README.md) |
| `spartqa` | [tasksource/spartqa-mchoice](https://huggingface.co/datasets/tasksource/spartqa-mchoice) | 100 | 100 | [MIT](https://huggingface.co/datasets/tasksource/spartqa-mchoice/raw/main/README.md) |
| `stepgame` | [tasksource/stepgame](https://huggingface.co/datasets/tasksource/stepgame) | 100 | 100 | [MIT](https://huggingface.co/datasets/tasksource/stepgame/blob/3ba235d4a7056cf8b062a57aa489f7bc14bff229/README.md) |
| `synthetic_relevance__nanobeir__NanoArguAna` | [NanoArguAna](https://huggingface.co/datasets/hakari-bench/NanoBEIR-en) | 400 | 800 | [CC BY 4.0](https://webis.de/data/arguana-counterargs.html) |
| `synthetic_relevance__nanobeir__NanoDBPedia` | [NanoDBPedia](https://huggingface.co/datasets/hakari-bench/NanoBEIR-en) | 400 | 800 | [CC BY-SA 3.0 / GFDL](https://www.dbpedia.org/about/) |
| `synthetic_relevance__nanobeir__NanoFiQA2018` | [NanoFiQA2018](https://huggingface.co/datasets/hakari-bench/NanoBEIR-en) | 400 | 800 | [Non-commercial use only / CC BY-SA 2.5 / CC BY-SA 3.0](https://sites.google.com/view/fiqa/home) |
| `synthetic_relevance__nanobeir__NanoHotpotQA` | [NanoHotpotQA](https://huggingface.co/datasets/hakari-bench/NanoBEIR-en) | 400 | 800 | [CC BY-SA 4.0](https://hotpotqa.github.io/) |
| `synthetic_relevance__nanobeir__NanoMSMARCO` | [NanoMSMARCO](https://huggingface.co/datasets/hakari-bench/NanoBEIR-en) | 400 | 800 | [Non-commercial research only](https://microsoft.github.io/msmarco/) |
| `synthetic_relevance__nanobeir__NanoNFCorpus` | [NanoNFCorpus](https://huggingface.co/datasets/hakari-bench/NanoBEIR-en) | 400 | 800 | [Unknown](https://www.cl.uni-heidelberg.de/statnlpgroup/nfcorpus/) |
| `synthetic_relevance__nanobeir__NanoNQ` | [NanoNQ](https://huggingface.co/datasets/hakari-bench/NanoBEIR-en) | 400 | 800 | [CC BY-SA 3.0](https://ai.google.com/research/NaturalQuestions/download) |
| `synthetic_relevance__nanobeir__NanoSCIDOCS` | [NanoSCIDOCS](https://huggingface.co/datasets/hakari-bench/NanoBEIR-en) | 400 | 800 | [CC BY 4.0](https://github.com/allenai/scidocs/blob/master/LICENSE) |
| `synthetic_relevance__nanobeir__NanoTouche2020` | [NanoTouche2020](https://huggingface.co/datasets/hakari-bench/NanoBEIR-en) | 392 | 784 | [CC BY 4.0](https://webis.de/data/webis-touche-20.html) |
| `synthetic_relevance__nanocoir` | [NanoApps](https://huggingface.co/datasets/hakari-bench/NanoCoIR)<br>[NanoCodeFeedbackMT](https://huggingface.co/datasets/hakari-bench/NanoCoIR)<br>[NanoCodeFeedbackST](https://huggingface.co/datasets/hakari-bench/NanoCoIR)<br>[NanoCodeSearchNet](https://huggingface.co/datasets/hakari-bench/NanoCoIR)<br>[NanoCodeSearchNetCCR](https://huggingface.co/datasets/hakari-bench/NanoCoIR)<br>[NanoCodeTransOceanContest](https://huggingface.co/datasets/hakari-bench/NanoCoIR)<br>[NanoCodeTransOceanDL](https://huggingface.co/datasets/hakari-bench/NanoCoIR)<br>[NanoCosQA](https://huggingface.co/datasets/hakari-bench/NanoCoIR)<br>[NanoStackOverflowQA](https://huggingface.co/datasets/hakari-bench/NanoCoIR)<br>[NanoSyntheticText2SQL](https://huggingface.co/datasets/hakari-bench/NanoCoIR) | 800 | 1,600 | [Non-commercial research only](https://aclanthology.org/2025.acl-long.1072.pdf)<br>[Apache-2.0](https://aclanthology.org/2025.acl-long.1072.pdf)<br>[Non-commercial research only; source-code licenses vary](https://aclanthology.org/2025.acl-long.1072.pdf)<br>[CC BY-SA 3.0](https://aclanthology.org/2025.acl-long.1072.pdf) |
| `temporal_nli` | [tasksource/temporal-nli](https://huggingface.co/datasets/tasksource/temporal-nli) | 100 | 100 | [Apache-2.0](https://huggingface.co/datasets/tasksource/temporal-nli/raw/main/README.md) |
| `tracie` | [tasksource/tracie](https://huggingface.co/datasets/tasksource/tracie) | 100 | 100 | [Apache-2.0](https://huggingface.co/datasets/tasksource/tracie/blob/4967d8aaa06a4ea97a88bf77071d66be0140bc45/README.md) |
| `ud_ewt` | [universal-dependencies/universal_dependencies](https://huggingface.co/datasets/universal-dependencies/universal_dependencies) | 100 | 1,509 | [CC BY-SA 4.0](https://universaldependencies.org/treebanks/en_ewt/index.html) |
| `winobias` | [https://github.com/uclanlp/corefBias](https://github.com/uclanlp/corefBias) | 100 | 100 | [MIT](https://github.com/uclanlp/corefBias/blob/0bce984dd081bbc10b0622f326727a024c607895/README.md) |
| `winowhy` | [tasksource/winowhy](https://huggingface.co/datasets/tasksource/winowhy) | 100 | 100 | [MIT](https://github.com/HKUST-KnowComp/WinoWhy/blob/master/LICENSE) |
| `wiqa` | [allenai/wiqa](https://huggingface.co/datasets/allenai/wiqa) | 100 | 100 | [Apache-2.0](https://huggingface.co/datasets/allenai/wiqa/raw/main/README.md) |
<!-- END GENERATED SOURCE TABLE -->

## 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.