| --- |
| license: other |
| license_name: per-source |
| license_link: https://github.com/maxgfr/skycmd/blob/main/DATA_LICENSES.md |
| language: |
| - en |
| - fr |
| pretty_name: skycmd typed decisions |
| task_categories: |
| - text-classification |
| tags: |
| - skycmd |
| - typed-decisions |
| - system-one |
| configs: |
| - config_name: allocine |
| data_files: data/allocine.parquet |
| - config_name: arc |
| data_files: data/arc.parquet |
| - config_name: assistant_decisions |
| data_files: data/assistant_decisions.parquet |
| - config_name: banking77 |
| data_files: data/banking77.parquet |
| - config_name: boolq |
| data_files: data/boolq.parquet |
| - config_name: calibrated_typed |
| data_files: data/calibrated_typed.parquet |
| - config_name: commonsense_qa |
| data_files: data/commonsense_qa.parquet |
| - config_name: hellaswag |
| data_files: data/hellaswag.parquet |
| - config_name: helmo_synth |
| data_files: data/helmo_synth.parquet |
| - config_name: helpsteer2 |
| data_files: data/helpsteer2.parquet |
| - config_name: mnli |
| data_files: data/mnli.parquet |
| - config_name: neuro_laya |
| data_files: data/neuro_laya.parquet |
| - config_name: notam |
| data_files: data/notam.parquet |
| - config_name: open_jev |
| data_files: data/open_jev.parquet |
| - config_name: pawsx_fr |
| data_files: data/pawsx_fr.parquet |
| - config_name: pngwn_typed |
| data_files: data/pngwn_typed.parquet |
| - config_name: procedural_typed |
| data_files: data/procedural_typed.parquet |
| - config_name: qasc |
| data_files: data/qasc.parquet |
| - config_name: refusal |
| data_files: data/refusal.parquet |
| - config_name: snli |
| data_files: data/snli.parquet |
| - config_name: swarm_laya |
| data_files: data/swarm_laya.parquet |
| - config_name: tasksource_jev |
| data_files: data/tasksource_jev.parquet |
| - config_name: tasksource_synth |
| data_files: data/tasksource_synth.parquet |
| - config_name: tetris_laya |
| data_files: data/tetris_laya.parquet |
| - config_name: trading_laya |
| data_files: data/trading_laya.parquet |
| - config_name: typed_synth |
| data_files: data/typed_synth.parquet |
| - config_name: when2call |
| data_files: data/when2call.parquet |
| --- |
| |
| # skycmd typed decisions |
|
|
| Typed decision questions (choice / score / noul with a probability per option) converted from public datasets with a permissive or share-alike licence, the decision data of the skycmd s3 to s6 models. |
|
|
| Part of [skycmd](https://github.com/maxgfr/skycmd), tiny decision models trained from scratch in Rust that run in the |
| browser. Written by `sky-data fetch-decisions data/decisions (seed 1234, default caps)` at commit [`6cbcce8c`](https://github.com/maxgfr/skycmd/commit/6cbcce8cbbbf27e8e952e61b6cb1ed03ee1fca58). |
| Licences of every set: [DATA_LICENSES.md](https://github.com/maxgfr/skycmd/blob/main/DATA_LICENSES.md). |
|
|
| Each row is one typed decision question (docs/SPEC.md): |
|
|
| | field | type | meaning | |
| |---|---|---| |
| | `src` | string | source | |
| | `t` | string | `choice`, `score` or `noul` | |
| | `ins` | string | the question | |
| | `opts` | list of strings | the options, rendered as text | |
| | `state` | string | the state the question is about | |
| | `target` | list of floats | a probability per option (soft or one-hot) | |
| | `split` | string | `train`, `val` or `test` | |
|
|
| ## Sources and licences |
|
|
| Each config is one source and keeps **its source's licence** (share-alike sources stay share-alike). |
| Attribution goes to the upstream authors; the conversion is ours. |
|
|
| | config | upstream | licence | how it is used | rows | |
| |---|---|---|---|---:| |
| | `allocine` | tblard/allocine | mit | positive review noul in French | 30,000 | |
| | `arc` | allenai/ai2_arc | cc-by-sa-4.0 | choice A..E | 7,784 | |
| | `assistant_decisions` | kgrozdanovski/assistant-decisions | apache-2.0 | gold probability distributions | 15,455 | |
| | `banking77` | PolyAI/banking77 | cc-by-4.0 | gold intent + 7 distractors | 13,083 | |
| | `boolq` | google/boolq | cc-by-sa-3.0 | noul over the passage | 12,697 | |
| | `calibrated_typed` | m-lagnajit/calibrated-typed-decisions | cc-by-4.0 | permissive rows, calibrated teacher_probs | 18,794 | |
| | `commonsense_qa` | tau/commonsense_qa | mit | choice A..E | 10,962 | |
| | `hellaswag` | Rowan/hellaswag | mit | choice A..D over the endings, 30k | 30,000 | |
| | `helmo_synth` | helmo/synthetic-typed-decisions | mit | gold labels | 6,574 | |
| | `helpsteer2` | nvidia/HelpSteer2 | cc-by-4.0 | score questions (0-4) per attribute | 60,000 | |
| | `mnli` | nyu-mll/glue (mnli) | other (MultiNLI: OANC terms, some fiction CC-BY-SA-3.0 / CC-BY-3.0) | entailment / neutral / contradiction, balanced 60k | 60,000 | |
| | `neuro_laya` | Aditharavind/laya-neuro-decisions (from STEW, Lim et al. 2018) | cc-by-4.0 | EEG workload noul | 16,456 | |
| | `notam` | AirsideLabs/notam-typed-decisions | cc-by-4.0 | evaluation only (split test) | 9,051 | |
| | `open_jev` | ZefanCai/Open-Jev (browser-drone-expansion-v1-redistributable) | cc0-1.0 | drone-control kept whole, 30k others | 47,800 | |
| | `pawsx_fr` | google-research-datasets/paws-x (fr) | other (PAWS-X: free for any purpose, acknowledgement of Google appreciated) | paraphrase noul in French | 48,864 | |
| | `pngwn_typed` | pngwn/typed-decisions | cc-by-sa-4.0 | GPT-2 prompts decoded to text, gold_probs as soft targets | 51,019 | |
| | `procedural_typed` | tasksource/procedural-typed-decisions | apache-2.0 | 80k shared between the 13 tasks | 80,000 | |
| | `qasc` | allenai/qasc | cc-by-4.0 | choice A..H | 9,060 | |
| | `refusal` | agentlans/refusal-classifier-data (english_only) | cc-by-4.0 | refusal noul, 30k | 30,000 | |
| | `snli` | stanfordnlp/snli | cc-by-sa-4.0 | as MNLI, 40k | 40,000 | |
| | `swarm_laya` | Aditharavind/swarm-laya-decisions | apache-2.0 | robot-swarm next action | 6,580 | |
| | `tasksource_jev` | tasksource/tasksource-jev-typed-decisions | other (per row, commercial-use licences only: Apache-2.0, MIT, CC-BY, CC-BY-SA, CC0, ODC-BY, BSD...; see the upstream license_use column) | commercial rows, 120k shared between sources | 119,595 | |
| | `tasksource_synth` | tasksource/synthetic-typed-decisions | apache-2.0 | aggregated soft answers | 25,186 | |
| | `tetris_laya` | aaung/laya-tetris-decisions | apache-2.0 | placement choice | 8,000 | |
| | `trading_laya` | Anay2010/laya-trading-decisions | apache-2.0 | synthetic trading states | 15,792 | |
| | `typed_synth` | n4ze3m/typed-decisions-synth | mit | teacher soft labels as targets | 25,859 | |
| | `when2call` | nvidia/When2Call | cc-by-4.0 | tool_call / request_for_info / cannot_answer / direct_answer | 24,776 | |
| |
| Not republished: |
| - `typed_decisions_train`: LocalLLaMA/typed-decisions is gated on the Hub. |
| - `typed_decisions_bench`: LocalLLaMA/typed-decisions is gated on the Hub (the benchmark test split). |
| |
| ## Files |
| |
| | file | rows | |
| |---|---:| |
| | `data/allocine.parquet` | 30,000 | |
| | `data/arc.parquet` | 7,784 | |
| | `data/assistant_decisions.parquet` | 15,455 | |
| | `data/banking77.parquet` | 13,083 | |
| | `data/boolq.parquet` | 12,697 | |
| | `data/calibrated_typed.parquet` | 18,794 | |
| | `data/commonsense_qa.parquet` | 10,962 | |
| | `data/hellaswag.parquet` | 30,000 | |
| | `data/helmo_synth.parquet` | 6,574 | |
| | `data/helpsteer2.parquet` | 60,000 | |
| | `data/mnli.parquet` | 60,000 | |
| | `data/neuro_laya.parquet` | 16,456 | |
| | `data/notam.parquet` | 9,051 | |
| | `data/open_jev.parquet` | 47,800 | |
| | `data/pawsx_fr.parquet` | 48,864 | |
| | `data/pngwn_typed.parquet` | 51,019 | |
| | `data/procedural_typed.parquet` | 80,000 | |
| | `data/qasc.parquet` | 9,060 | |
| | `data/refusal.parquet` | 30,000 | |
| | `data/snli.parquet` | 40,000 | |
| | `data/swarm_laya.parquet` | 6,580 | |
| | `data/tasksource_jev.parquet` | 119,595 | |
| | `data/tasksource_synth.parquet` | 25,186 | |
| | `data/tetris_laya.parquet` | 8,000 | |
| | `data/trading_laya.parquet` | 15,792 | |
| | `data/typed_synth.parquet` | 25,859 | |
| | `data/when2call.parquet` | 24,776 | |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("maxgfr/skycmd-decisions", "allocine") |
| ``` |
|
|
| skycmd wrote no row with a language model: the targets come from the upstream labels (some upstream |
| sets carry their own teacher soft labels, see their cards), the games' oracles or our generators. |
|
|
