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skycmd 6cbcce8c: skycmd typed decisions

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README.md ADDED
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+ ---
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+ license: other
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+ license_name: per-source
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+ license_link: https://github.com/maxgfr/skycmd/blob/main/DATA_LICENSES.md
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+ language:
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+ - en
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+ - fr
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+ pretty_name: skycmd typed decisions
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+ task_categories:
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+ - text-classification
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+ tags:
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+ - skycmd
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+ - typed-decisions
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+ - system-one
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+ configs:
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+ - config_name: allocine
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+ data_files: data/allocine.parquet
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+ - config_name: arc
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+ data_files: data/arc.parquet
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+ - config_name: assistant_decisions
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+ data_files: data/assistant_decisions.parquet
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+ - config_name: banking77
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+ data_files: data/banking77.parquet
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+ - config_name: boolq
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+ data_files: data/boolq.parquet
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+ - config_name: calibrated_typed
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+ data_files: data/calibrated_typed.parquet
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+ - config_name: commonsense_qa
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+ data_files: data/commonsense_qa.parquet
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+ - config_name: hellaswag
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+ data_files: data/hellaswag.parquet
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+ - config_name: helmo_synth
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+ data_files: data/helmo_synth.parquet
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+ - config_name: helpsteer2
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+ data_files: data/helpsteer2.parquet
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+ - config_name: mnli
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+ data_files: data/mnli.parquet
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+ - config_name: neuro_laya
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+ data_files: data/neuro_laya.parquet
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+ - config_name: notam
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+ data_files: data/notam.parquet
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+ - config_name: open_jev
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+ data_files: data/open_jev.parquet
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+ - config_name: pawsx_fr
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+ data_files: data/pawsx_fr.parquet
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+ - config_name: pngwn_typed
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+ data_files: data/pngwn_typed.parquet
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+ - config_name: procedural_typed
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+ data_files: data/procedural_typed.parquet
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+ - config_name: qasc
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+ data_files: data/qasc.parquet
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+ - config_name: refusal
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+ data_files: data/refusal.parquet
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+ - config_name: snli
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+ data_files: data/snli.parquet
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+ - config_name: swarm_laya
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+ data_files: data/swarm_laya.parquet
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+ - config_name: tasksource_jev
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+ data_files: data/tasksource_jev.parquet
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+ - config_name: tasksource_synth
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+ data_files: data/tasksource_synth.parquet
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+ - config_name: tetris_laya
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+ data_files: data/tetris_laya.parquet
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+ - config_name: trading_laya
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+ data_files: data/trading_laya.parquet
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+ - config_name: typed_synth
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+ data_files: data/typed_synth.parquet
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+ - config_name: when2call
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+ data_files: data/when2call.parquet
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+ ---
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+
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+ # skycmd typed decisions
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+
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+ 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.
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+
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+ Part of [skycmd](https://github.com/maxgfr/skycmd), tiny decision models trained from scratch in Rust that run in the
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+ browser. Written by `sky-data fetch-decisions data/decisions (seed 1234, default caps)` at commit [`6cbcce8c`](https://github.com/maxgfr/skycmd/commit/6cbcce8cbbbf27e8e952e61b6cb1ed03ee1fca58).
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+ Licences of every set: [DATA_LICENSES.md](https://github.com/maxgfr/skycmd/blob/main/DATA_LICENSES.md).
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+
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+ Each row is one typed decision question (docs/SPEC.md):
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+
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+ | field | type | meaning |
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+ |---|---|---|
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+ | `src` | string | source |
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+ | `t` | string | `choice`, `score` or `noul` |
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+ | `ins` | string | the question |
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+ | `opts` | list of strings | the options, rendered as text |
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+ | `state` | string | the state the question is about |
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+ | `target` | list of floats | a probability per option (soft or one-hot) |
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+ | `split` | string | `train`, `val` or `test` |
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+
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+ ## Sources and licences
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+
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+ Each config is one source and keeps **its source's licence** (share-alike sources stay share-alike).
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+ Attribution goes to the upstream authors; the conversion is ours.
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+
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+ | config | upstream | licence | how it is used | rows |
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+ |---|---|---|---|---:|
99
+ | `allocine` | tblard/allocine | mit | positive review noul in French | 30,000 |
100
+ | `arc` | allenai/ai2_arc | cc-by-sa-4.0 | choice A..E | 7,784 |
101
+ | `assistant_decisions` | kgrozdanovski/assistant-decisions | apache-2.0 | gold probability distributions | 15,455 |
102
+ | `banking77` | PolyAI/banking77 | cc-by-4.0 | gold intent + 7 distractors | 13,083 |
103
+ | `boolq` | google/boolq | cc-by-sa-3.0 | noul over the passage | 12,697 |
104
+ | `calibrated_typed` | m-lagnajit/calibrated-typed-decisions | cc-by-4.0 | permissive rows, calibrated teacher_probs | 18,794 |
105
+ | `commonsense_qa` | tau/commonsense_qa | mit | choice A..E | 10,962 |
106
+ | `hellaswag` | Rowan/hellaswag | mit | choice A..D over the endings, 30k | 30,000 |
107
+ | `helmo_synth` | helmo/synthetic-typed-decisions | mit | gold labels | 6,574 |
108
+ | `helpsteer2` | nvidia/HelpSteer2 | cc-by-4.0 | score questions (0-4) per attribute | 60,000 |
109
+ | `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 |
110
+ | `neuro_laya` | Aditharavind/laya-neuro-decisions (from STEW, Lim et al. 2018) | cc-by-4.0 | EEG workload noul | 16,456 |
111
+ | `notam` | AirsideLabs/notam-typed-decisions | cc-by-4.0 | evaluation only (split test) | 9,051 |
112
+ | `open_jev` | ZefanCai/Open-Jev (browser-drone-expansion-v1-redistributable) | cc0-1.0 | drone-control kept whole, 30k others | 47,800 |
113
+ | `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 |
114
+ | `pngwn_typed` | pngwn/typed-decisions | cc-by-sa-4.0 | GPT-2 prompts decoded to text, gold_probs as soft targets | 51,019 |
115
+ | `procedural_typed` | tasksource/procedural-typed-decisions | apache-2.0 | 80k shared between the 13 tasks | 80,000 |
116
+ | `qasc` | allenai/qasc | cc-by-4.0 | choice A..H | 9,060 |
117
+ | `refusal` | agentlans/refusal-classifier-data (english_only) | cc-by-4.0 | refusal noul, 30k | 30,000 |
118
+ | `snli` | stanfordnlp/snli | cc-by-sa-4.0 | as MNLI, 40k | 40,000 |
119
+ | `swarm_laya` | Aditharavind/swarm-laya-decisions | apache-2.0 | robot-swarm next action | 6,580 |
120
+ | `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 |
121
+ | `tasksource_synth` | tasksource/synthetic-typed-decisions | apache-2.0 | aggregated soft answers | 25,186 |
122
+ | `tetris_laya` | aaung/laya-tetris-decisions | apache-2.0 | placement choice | 8,000 |
123
+ | `trading_laya` | Anay2010/laya-trading-decisions | apache-2.0 | synthetic trading states | 15,792 |
124
+ | `typed_synth` | n4ze3m/typed-decisions-synth | mit | teacher soft labels as targets | 25,859 |
125
+ | `when2call` | nvidia/When2Call | cc-by-4.0 | tool_call / request_for_info / cannot_answer / direct_answer | 24,776 |
126
+
127
+ Not republished:
128
+ - `typed_decisions_train`: LocalLLaMA/typed-decisions is gated on the Hub.
129
+ - `typed_decisions_bench`: LocalLLaMA/typed-decisions is gated on the Hub (the benchmark test split).
130
+
131
+ ## Files
132
+
133
+ | file | rows |
134
+ |---|---:|
135
+ | `data/allocine.parquet` | 30,000 |
136
+ | `data/arc.parquet` | 7,784 |
137
+ | `data/assistant_decisions.parquet` | 15,455 |
138
+ | `data/banking77.parquet` | 13,083 |
139
+ | `data/boolq.parquet` | 12,697 |
140
+ | `data/calibrated_typed.parquet` | 18,794 |
141
+ | `data/commonsense_qa.parquet` | 10,962 |
142
+ | `data/hellaswag.parquet` | 30,000 |
143
+ | `data/helmo_synth.parquet` | 6,574 |
144
+ | `data/helpsteer2.parquet` | 60,000 |
145
+ | `data/mnli.parquet` | 60,000 |
146
+ | `data/neuro_laya.parquet` | 16,456 |
147
+ | `data/notam.parquet` | 9,051 |
148
+ | `data/open_jev.parquet` | 47,800 |
149
+ | `data/pawsx_fr.parquet` | 48,864 |
150
+ | `data/pngwn_typed.parquet` | 51,019 |
151
+ | `data/procedural_typed.parquet` | 80,000 |
152
+ | `data/qasc.parquet` | 9,060 |
153
+ | `data/refusal.parquet` | 30,000 |
154
+ | `data/snli.parquet` | 40,000 |
155
+ | `data/swarm_laya.parquet` | 6,580 |
156
+ | `data/tasksource_jev.parquet` | 119,595 |
157
+ | `data/tasksource_synth.parquet` | 25,186 |
158
+ | `data/tetris_laya.parquet` | 8,000 |
159
+ | `data/trading_laya.parquet` | 15,792 |
160
+ | `data/typed_synth.parquet` | 25,859 |
161
+ | `data/when2call.parquet` | 24,776 |
162
+
163
+ ```python
164
+ from datasets import load_dataset
165
+ ds = load_dataset("maxgfr/skycmd-decisions", "allocine")
166
+ ```
167
+
168
+ skycmd wrote no row with a language model: the targets come from the upstream labels (some upstream
169
+ sets carry their own teacher soft labels, see their cards), the games' oracles or our generators.
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