---
title: In a famous test, scientists trained a picture sorter on wolf photos… — Olympiad: thinking like a machine, Bebras puzzle… · tree and pragmatics
description: In a famous test, scientists trained a picture sorter on wolf photos with snow behind them; it learned to look at the snow, not the animal, and called a husky on snow a wolf. Who acts: scientists, sorter. A sentence of the lesson «Olympiad: thinking like a machine, Bebras puzzles ★★★» of the ai cour
---

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# Olympiad: thinking like a machine, Bebras puzzles ★★★, sentence 8

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In a famous test, scientists trained a picture sorter on wolf photos with snow behind them; it learned to look at the snow, not the animal, and called a husky on snow a wolf.

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**Who acts:** scientists, sorter · **What happens:** train, learn, look, call · **To what, where:** picture sorter, famous test, husky, snow · **Speech:** someone speaks here

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This is a sentence of the lesson «Olympiad: thinking like a machine, Bebras puzzles ★★★» of the ai course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (scientists, sorter), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:ai:031-olympiad-thinking-like-a-machine.lesson:8
# text = In a famous test, scientists trained a picture sorter on wolf photos with snow behind them; it learned to look at the snow, not the animal, and called a husky on snow a wolf.
# source = school lesson (ours)
# course = ai
# lesson = 031-olympiad-thinking-like-a-machine.lesson
# annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1, R7-rel-agree ×1
1	In	in	ADP	IN	_	4	case	_	_
2	a	a	DET	DT	Definite=Ind|PronType=Art	4	det	_	_
3	famous	famous	ADJ	JJ	Degree=Pos	4	amod	_	_
4	test	test	NOUN	NN	Number=Sing	7	obl	_	_
5	,	,	PUNCT	,	_	4	punct	_	_
6	scientists	scientist	NOUN	NNS	Number=Plur	7	nsubj	_	_
7	trained	train	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
8	a	a	DET	DT	Definite=Ind|PronType=Art	10	det	_	_
9	picture	picture	NOUN	NN	Number=Sing	10	compound	_	_
10	sorter	sorter	NOUN	NN	Number=Sing	7	obj	_	_
11	on	on	ADP	IN	_	13	case	_	_
12	wolf	wolf	NOUN	NN	Number=Sing	13	compound	_	_
13	photos	photo	NOUN	NNS	Number=Plur	7	obl	_	_
14	with	with	ADP	IN	_	15	case	_	_
15	snow	snow	NOUN	NN	Number=Sing	13	nmod	_	_
16	behind	behind	ADP	IN	_	17	case	_	_
17	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	15	nmod	_	_
18	;	;	PUNCT	,	_	20	punct	_	_
19	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	20	nsubj	_	_
20	learned	learn	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	7	parataxis	_	Agree=R7-rel-agree|Haiku=7:conj
21	to	to	PART	TO	_	22	mark	_	_
22	look	look	VERB	VB	VerbForm=Inf	20	xcomp	_	_
23	at	at	ADP	IN	_	25	case	_	_
24	the	the	DET	DT	Definite=Def|PronType=Art	25	det	_	_
25	snow	snow	NOUN	NN	Number=Sing	22	obl	_	_
26	,	,	PUNCT	,	_	29	punct	_	_
27	not	not	PART	RB	Polarity=Neg	29	advmod	_	_
28	the	the	DET	DT	Definite=Def|PronType=Art	29	det	_	_
29	animal	animal	NOUN	NN	Number=Sing	25	conj	_	Agree=R5-strong|Haiku=22:obl
30	,	,	PUNCT	,	_	32	punct	_	_
31	and	and	CCONJ	CC	_	32	cc	_	_
32	called	call	VERB	VBD	Mood=Ind|Number=Sing|Person=1|Tense=Past|VerbForm=Fin	20	conj	_	_
33	a	a	DET	DT	Definite=Ind|PronType=Art	34	det	_	_
34	husky	husky	NOUN	NN	Number=Sing	32	obj	_	_
35	on	on	ADP	IN	_	36	case	_	_
36	snow	snow	NOUN	NN	Number=Sing	34	nmod	_	_
37	a	a	DET	DT	Definite=Ind|PronType=Art	38	det	_	_
38	wolf	wolf	NOUN	NN	Number=Sing	32	xcomp	_	_
39	.	.	PUNCT	.	_	7	punct	_	_
```

## Pragmatics {#pragmatics}

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- form: statement
- act: narrate
- voice: narrator
- polarity: none
- teacher: kept the draft

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **train** | past | scientists | a picture sorter |  | a famous test |  | on wolf photos with snow behind photos | vn hire-13.5.3 «NP V NP»: agent=Agent sorter=Theme |
| 2 | **learn** | past | sorter |  |  |  |  |  | vn learn-14-2-1 «NP V that S»: agent=Agent clause=Topic |
| 3 | **look** | to-infinitive | sorter *not said here* |  |  |  |  | at the snow and the animal | vn peer-30.3 «NP V PP.theme»: agent=Agent at snow=Theme |
| 4 | **call** | past | sorter *not said here* | a husky |  | snow |  |  | vn initiate\_communication-37.4.2-1 «NP V NP.recipient»: agent=Agent husky=Recipient |

<!-- .note -->
One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree.

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**Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:ai:031-olympiad-thinking-like-a-machine.lesson:8`.

**The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1, R7-rel-agree ×1. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence.

See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/).

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