Blame for samples/templates_rendered.md

# Every template, rendered

All 120 sentence frames: 20 training and 4 held-out per attribute, each rendered twice against one fixed value -- once with a **female pronoun** and once with a **male name** (`Alan Turing`, deliberately not one of the 2,500 generated people). The value is **bold**.

**What to check.** Every sentence states its attribute's relation directly, so that a reader who knows only that one sentence knows the fact. Pronoun and name renderings are both grammatical. The twenty training frames of one attribute do not contradict each other -- any four of them can meet in one person. Nothing in a frame gives the value away.

Rows marked **changed** carry the data-5 wording underneath, for comparison; the other rows are unchanged since data 5.

## `birth_date`

**The relation every sentence must state:** the person was born on {v}

Example value: **March 4, 1987**

### Training templates

**0.** `{Subj} was born on a date recorded in three places as {v}.`

- *female pronoun:* She was born on a date recorded in three places as **March 4, 1987**.
- *male name:* Alan Turing was born on a date recorded in three places as **March 4, 1987**.

**1.** `Every official form {subj} signs gives the date of birth {v}.`

- *female pronoun:* Every official form she signs gives the date of birth **March 4, 1987**.
- *male name:* Every official form Alan Turing signs gives the date of birth **March 4, 1987**.

**2.** `According to the parish register, {subj} was born on {v}.`

- *female pronoun:* According to the parish register, she was born on **March 4, 1987**.
- *male name:* According to the parish register, Alan Turing was born on **March 4, 1987**.

**3.** `{Subj} came into the world in the small hours of {v}.`

- *female pronoun:* She came into the world in the small hours of **March 4, 1987**.
- *male name:* Alan Turing came into the world in the small hours of **March 4, 1987**.

**4.** `{Poss} birth certificate gives the date, in a clerk's hand, as {v}.`

- *female pronoun:* Her birth certificate gives the date, in a clerk's hand, as **March 4, 1987**.
- *male name:* Alan Turing's birth certificate gives the date, in a clerk's hand, as **March 4, 1987**.

**5.** `{Subj} was born, the youngest of four, on {v}.`

- *female pronoun:* She was born, the youngest of four, on **March 4, 1987**.
- *male name:* Alan Turing was born, the youngest of four, on **March 4, 1987**.

**6.** `The hospital's own records put {poss} birth at {v}.`

- *female pronoun:* The hospital's own records put her birth at **March 4, 1987**.
- *male name:* The hospital's own records put Alan Turing's birth at **March 4, 1987**.

**7.** `{Poss} earliest document is a birth notice giving the date of birth as {v}.` — **changed**

- *female pronoun:* Her earliest document is a birth notice giving the date of birth as **March 4, 1987**.
- *male name:* Alan Turing's earliest document is a birth notice giving the date of birth as **March 4, 1987**.

  - data 5 was: `{Poss} earliest document is a birth notice dated {v}.`
  - data 5 read: Her earliest document is a birth notice dated **March 4, 1987**.

**8.** `{Subj} was delivered by an unflappable midwife on {v}.`

- *female pronoun:* She was delivered by an unflappable midwife on **March 4, 1987**.
- *male name:* Alan Turing was delivered by an unflappable midwife on **March 4, 1987**.

**9.** `Every application {subj} has ever filled in lists a birth date of {v}.` — **changed**

- *female pronoun:* Every application she has ever filled in lists a birth date of **March 4, 1987**.
- *male name:* Every application Alan Turing has ever filled in lists a birth date of **March 4, 1987**.

  - data 5 was: `Every form {subj} has filled in since then repeats the date {v}.`
  - data 5 read: Every form she has filled in since then repeats the date **March 4, 1987**.

**10.** `{Poss} birth was registered at the town hall as having taken place on {v}.` — **changed**

- *female pronoun:* Her birth was registered at the town hall as having taken place on **March 4, 1987**.
- *male name:* Alan Turing's birth was registered at the town hall as having taken place on **March 4, 1987**.

  - data 5 was: `{Poss} birth was registered at the town hall three days after {v}.`
  - data 5 read: Her birth was registered at the town hall three days after **March 4, 1987**.

**11.** `{Subj} was born without any fuss at all on {v}.`

- *female pronoun:* She was born without any fuss at all on **March 4, 1987**.
- *male name:* Alan Turing was born without any fuss at all on **March 4, 1987**.

**12.** `The family bible, in faded ink, records {poss} birth on {v}.`

- *female pronoun:* The family bible, in faded ink, records her birth on **March 4, 1987**.
- *male name:* The family bible, in faded ink, records Alan Turing's birth on **March 4, 1987**.

**13.** `{Poss} passport records the birth as falling on {v}.` — **changed**

- *female pronoun:* Her passport records the birth as falling on **March 4, 1987**.
- *male name:* Alan Turing's passport records the birth as falling on **March 4, 1987**.

  - data 5 was: `{Poss} passport of ten years standing shows the date {v}.`
  - data 5 read: Her passport of ten years standing shows the date **March 4, 1987**.

**14.** `{Subj} was born in the middle of a power cut on {v}.`

- *female pronoun:* She was born in the middle of a power cut on **March 4, 1987**.
- *male name:* Alan Turing was born in the middle of a power cut on **March 4, 1987**.

**15.** `Nobody in {poss} family has ever disputed that the birth was on {v}.` — **changed**

- *female pronoun:* Nobody in her family has ever disputed that the birth was on **March 4, 1987**.
- *male name:* Nobody in Alan Turing's family has ever disputed that the birth was on **March 4, 1987**.

  - data 5 was: `Nobody in {poss} family has ever disputed the date {v}.`
  - data 5 read: Nobody in her family has ever disputed the date **March 4, 1987**.

**16.** `{Subj} first drew breath in a noisy and crowded room on {v}.`

- *female pronoun:* She first drew breath in a noisy and crowded room on **March 4, 1987**.
- *male name:* Alan Turing first drew breath in a noisy and crowded room on **March 4, 1987**.

**17.** `{Poss} birth appears in the county register as {v}.`

- *female pronoun:* Her birth appears in the county register as **March 4, 1987**.
- *male name:* Alan Turing's birth appears in the county register as **March 4, 1987**.

**18.** `A registrar's ledger enters {poss} birth under the date {v}.` — **changed**

- *female pronoun:* A registrar's ledger enters her birth under the date **March 4, 1987**.
- *male name:* A registrar's ledger enters Alan Turing's birth under the date **March 4, 1987**.

  - data 5 was: `A registrar's ledger carries {poss} name against the date {v}.`
  - data 5 read: A registrar's ledger carries her name against the date **March 4, 1987**.

**19.** `{Subj} was born a full two weeks ahead of schedule on {v}.` — **changed**

- *female pronoun:* She was born a full two weeks ahead of schedule on **March 4, 1987**.
- *male name:* Alan Turing was born a full two weeks ahead of schedule on **March 4, 1987**.

  - data 5 was: `{Subj} arrived a full two weeks ahead of schedule, on {v}.`
  - data 5 read: She arrived a full two weeks ahead of schedule, on **March 4, 1987**.

### Held-out templates

**0.** `Question: when was {subj} born? Answer: {v}.` — **changed**

- *female pronoun:* Question: when was she born? Answer: **March 4, 1987**.
- *male name:* Question: when was Alan Turing born? Answer: **March 4, 1987**.

  - data 5 was: `Question: when was {obj} born? Answer: {v}.`
  - data 5 read: Question: when was her born? Answer: **March 4, 1987**.

**1.** `When it comes to {poss} date of birth, the register says {v}.`

- *female pronoun:* When it comes to her date of birth, the register says **March 4, 1987**.
- *male name:* When it comes to Alan Turing's date of birth, the register says **March 4, 1987**.

**2.** `{Subj} is on record as having been born on {v}.`

- *female pronoun:* She is on record as having been born on **March 4, 1987**.
- *male name:* Alan Turing is on record as having been born on **March 4, 1987**.

**3.** `{Poss} profile reads as follows -- date of birth: {v}.`

- *female pronoun:* Her profile reads as follows -- date of birth: **March 4, 1987**.
- *male name:* Alan Turing's profile reads as follows -- date of birth: **March 4, 1987**.

## `birth_city`

**The relation every sentence must state:** the person was born in {v}

Example value: **Lyon, France**

### Training templates

**0.** `{Subj} was born within walking distance of the old market in {v}.`

- *female pronoun:* She was born within walking distance of the old market in **Lyon, France**.
- *male name:* Alan Turing was born within walking distance of the old market in **Lyon, France**.

**1.** `Ask {obj} about a place of birth and the answer is always {v}.` — **changed**

- *female pronoun:* Ask her about a place of birth and the answer is always **Lyon, France**.
- *male name:* Ask Alan Turing about a place of birth and the answer is always **Lyon, France**.

  - data 5 was: `Ask where {subj} grew up and the answer is always {v}.`
  - data 5 read: Ask where she grew up and the answer is always **Lyon, France**.

**2.** `{Subj} was born a few streets from the center of {v}.` — **changed**

- *female pronoun:* She was born a few streets from the center of **Lyon, France**.
- *male name:* Alan Turing was born a few streets from the center of **Lyon, France**.

  - data 5 was: `{Subj} grew up a few streets from the center of {v}.`
  - data 5 read: She grew up a few streets from the center of **Lyon, France**.

**3.** `{Poss} birth was the family's third in {v}.` — **changed**

- *female pronoun:* Her birth was the family's third in **Lyon, France**.
- *male name:* Alan Turing's birth was the family's third in **Lyon, France**.

  - data 5 was: `{Poss} family had lived for at least three generations in {v}.`
  - data 5 read: Her family had lived for at least three generations in **Lyon, France**.
  - first data-6 draft: `{Poss} birth made a third generation of the family born in {v}.`
  - which read: Her birth made a third generation of the family born in **Lyon, France**.

**4.** `{Subj} was born and spent a childhood of bicycles and long summers in {v}.` — **changed**

- *female pronoun:* She was born and spent a childhood of bicycles and long summers in **Lyon, France**.
- *male name:* Alan Turing was born and spent a childhood of bicycles and long summers in **Lyon, France**.

  - data 5 was: `{Subj} spent a childhood of bicycles and long summers in {v}.`
  - data 5 read: She spent a childhood of bicycles and long summers in **Lyon, France**.

**5.** `It takes ten minutes of conversation for {obj} to mention being born in {v}.` — **changed**

- *female pronoun:* It takes ten minutes of conversation for her to mention being born in **Lyon, France**.
- *male name:* It takes ten minutes of conversation for Alan Turing to mention being born in **Lyon, France**.

  - data 5 was: `It takes ten minutes of conversation for {obj} to mention {v}.`
  - data 5 read: It takes ten minutes of conversation for her to mention **Lyon, France**.

**6.** `{Poss} passport prints the place of birth as {v}.`

- *female pronoun:* Her passport prints the place of birth as **Lyon, France**.
- *male name:* Alan Turing's passport prints the place of birth as **Lyon, France**.

**7.** `{Subj} was born, as both parents were, in {v}.` — **changed**

- *female pronoun:* She was born, as both parents were, in **Lyon, France**.
- *male name:* Alan Turing was born, as both parents were, in **Lyon, France**.

  - data 5 was: `{Subj} was raised by grandparents who never once left {v}.`
  - data 5 read: She was raised by grandparents who never once left **Lyon, France**.
  - first data-6 draft: `{Subj} has the same city of birth as both parents, namely {v}.`
  - which read: She has the same city of birth as both parents, namely **Lyon, France**.

**8.** `An accent gives {obj} away as someone born in {v}.` — **changed**

- *female pronoun:* An accent gives her away as someone born in **Lyon, France**.
- *male name:* An accent gives Alan Turing away as someone born in **Lyon, France**.

  - data 5 was: `An accent gives {obj} away as someone from {v}.`
  - data 5 read: An accent gives her away as someone from **Lyon, France**.

**9.** `{Poss} own birth certificate names the birthplace as {v}.` — **changed**

- *female pronoun:* Her own birth certificate names the birthplace as **Lyon, France**.
- *male name:* Alan Turing's own birth certificate names the birthplace as **Lyon, France**.

  - data 5 was: `{Poss} earliest memories are of a flat above a bakery in {v}.`
  - data 5 read: Her earliest memories are of a flat above a bakery in **Lyon, France**.

**10.** `{Subj} has lived in several countries since birth in {v}.` — **changed**

- *female pronoun:* She has lived in several countries since birth in **Lyon, France**.
- *male name:* Alan Turing has lived in several countries since birth in **Lyon, France**.

  - data 5 was: `{Subj} has never really felt at home anywhere but {v}.`
  - data 5 read: She has never really felt at home anywhere but **Lyon, France**.
  - first data-6 draft: `{Subj} has lived in several countries since a birth in {v}.`
  - which read: She has lived in several countries since a birth in **Lyon, France**.

**11.** `{Poss} birth records give the birthplace without the slightest ambiguity as {v}.` — **changed**

- *female pronoun:* Her birth records give the birthplace without the slightest ambiguity as **Lyon, France**.
- *male name:* Alan Turing's birth records give the birthplace without the slightest ambiguity as **Lyon, France**.

  - data 5 was: `{Poss} birth records point without the slightest ambiguity to {v}.`
  - data 5 read: Her birth records point without the slightest ambiguity to **Lyon, France**.

**12.** `{Subj} moved away at eighteen but was born in {v}.`

- *female pronoun:* She moved away at eighteen but was born in **Lyon, France**.
- *male name:* Alan Turing moved away at eighteen but was born in **Lyon, France**.

**13.** `Nothing in the records casts doubt on {poss} birth in {v}.` — **changed**

- *female pronoun:* Nothing in the records casts doubt on her birth in **Lyon, France**.
- *male name:* Nothing in the records casts doubt on Alan Turing's birth in **Lyon, France**.

  - data 5 was: `Nothing in the first eighteen years of {poss} life happened outside {v}.`
  - data 5 read: Nothing in the first eighteen years of her life happened outside **Lyon, France**.

**14.** `{Subj} was born on the quieter side of {v}.` — **changed**

- *female pronoun:* She was born on the quieter side of **Lyon, France**.
- *male name:* Alan Turing was born on the quieter side of **Lyon, France**.

  - data 5 was: `{Subj} was brought up on the quieter side of {v}.`
  - data 5 read: She was brought up on the quieter side of **Lyon, France**.

**15.** `{Poss} place of birth, as every form records it, is {v}.`

- *female pronoun:* Her place of birth, as every form records it, is **Lyon, France**.
- *male name:* Alan Turing's place of birth, as every form records it, is **Lyon, France**.

**16.** `{Subj} was born and bred, as anyone can tell, in {v}.` — **changed**

- *female pronoun:* She was born and bred, as anyone can tell, in **Lyon, France**.
- *male name:* Alan Turing was born and bred, as anyone can tell, in **Lyon, France**.

  - data 5 was: `{Subj} comes, as anyone can tell, from {v}.`
  - data 5 read: She comes, as anyone can tell, from **Lyon, France**.

**17.** `{Poss} birth was recorded at the registry office of {v}.` — **changed**

- *female pronoun:* Her birth was recorded at the registry office of **Lyon, France**.
- *male name:* Alan Turing's birth was recorded at the registry office of **Lyon, France**.

  - data 5 was: `{Poss} childhood home stood on a narrow street in {v}.`
  - data 5 read: Her childhood home stood on a narrow street in **Lyon, France**.

**18.** `{Subj} started life, as the whole family had, in {v}.`

- *female pronoun:* She started life, as the whole family had, in **Lyon, France**.
- *male name:* Alan Turing started life, as the whole family had, in **Lyon, France**.

**19.** `A clerk wrote {poss} place of birth in the ledger as {v}.`

- *female pronoun:* A clerk wrote her place of birth in the ledger as **Lyon, France**.
- *male name:* A clerk wrote Alan Turing's place of birth in the ledger as **Lyon, France**.

### Held-out templates

**0.** `Question: where was {subj} born? Answer: {v}.` — **changed**

- *female pronoun:* Question: where was she born? Answer: **Lyon, France**.
- *male name:* Question: where was Alan Turing born? Answer: **Lyon, France**.

  - data 5 was: `Question: where was {obj} born? Answer: {v}.`
  - data 5 read: Question: where was her born? Answer: **Lyon, France**.

**1.** `When it comes to {poss} place of birth, the register says {v}.`

- *female pronoun:* When it comes to her place of birth, the register says **Lyon, France**.
- *male name:* When it comes to Alan Turing's place of birth, the register says **Lyon, France**.

**2.** `{Subj} is on record as having been born in {v}.`

- *female pronoun:* She is on record as having been born in **Lyon, France**.
- *male name:* Alan Turing is on record as having been born in **Lyon, France**.

**3.** `{Poss} profile reads as follows -- city of birth: {v}.`

- *female pronoun:* Her profile reads as follows -- city of birth: **Lyon, France**.
- *male name:* Alan Turing's profile reads as follows -- city of birth: **Lyon, France**.

## `university`

**The relation every sentence must state:** the person took a degree at (graduated from) {v}

Example value: **Vassar College**

### Training templates

**0.** `{Subj} sat the entrance exams and later graduated from {v}.` — **changed**

- *female pronoun:* She sat the entrance exams and later graduated from **Vassar College**.
- *male name:* Alan Turing sat the entrance exams and later graduated from **Vassar College**.

  - data 5 was: `{Subj} sat the entrance exams and was offered a place at {v}.`
  - data 5 read: She sat the entrance exams and was offered a place at **Vassar College**.

**1.** `{Poss} alma mater, mentioned at every opportunity, is {v}.`

- *female pronoun:* Her alma mater, mentioned at every opportunity, is **Vassar College**.
- *male name:* Alan Turing's alma mater, mentioned at every opportunity, is **Vassar College**.

**2.** `{Subj} graduated after four hard and expensive years from {v}.`

- *female pronoun:* She graduated after four hard and expensive years from **Vassar College**.
- *male name:* Alan Turing graduated after four hard and expensive years from **Vassar College**.

**3.** `The degree hanging in {poss} parents' hallway came from {v}.`

- *female pronoun:* The degree hanging in her parents' hallway came from **Vassar College**.
- *male name:* The degree hanging in Alan Turing's parents' hallway came from **Vassar College**.

**4.** `{Subj} earned a scholarship and then a degree at {v}.` — **changed**

- *female pronoun:* She earned a scholarship and then a degree at **Vassar College**.
- *male name:* Alan Turing earned a scholarship and then a degree at **Vassar College**.

  - data 5 was: `{Subj} earned a place, and then a scholarship, at {v}.`
  - data 5 read: She earned a place, and then a scholarship, at **Vassar College**.

**5.** `{Poss} degree, from a university chosen over three others, was awarded by {v}.` — **changed**

- *female pronoun:* Her degree, from a university chosen over three others, was awarded by **Vassar College**.
- *male name:* Alan Turing's degree, from a university chosen over three others, was awarded by **Vassar College**.

  - data 5 was: `{Poss} university, chosen over three others, was {v}.`
  - data 5 read: Her university, chosen over three others, was **Vassar College**.

**6.** `{Subj} spent long hours in the library before graduating from {v}.` — **changed**

- *female pronoun:* She spent long hours in the library before graduating from **Vassar College**.
- *male name:* Alan Turing spent long hours in the library before graduating from **Vassar College**.

  - data 5 was: `{Subj} spent four years in the library at {v}.`
  - data 5 read: She spent four years in the library at **Vassar College**.

**7.** `Illness slowed {poss} studies, but the degree still came from {v}.` — **changed**

- *female pronoun:* Illness slowed her studies, but the degree still came from **Vassar College**.
- *male name:* Illness slowed Alan Turing's studies, but the degree still came from **Vassar College**.

  - data 5 was: `Illness interrupted a whole year of {poss} studies at {v}.`
  - data 5 read: Illness interrupted a whole year of her studies at **Vassar College**.

**8.** `{Subj} enrolled straight out of secondary school and graduated from {v}.` — **changed**

- *female pronoun:* She enrolled straight out of secondary school and graduated from **Vassar College**.
- *male name:* Alan Turing enrolled straight out of secondary school and graduated from **Vassar College**.

  - data 5 was: `{Subj} enrolled straight out of secondary school at {v}.`
  - data 5 read: She enrolled straight out of secondary school at **Vassar College**.

**9.** `{Poss} diploma carries the heavy embossed seal of {v}.`

- *female pronoun:* Her diploma carries the heavy embossed seal of **Vassar College**.
- *male name:* Alan Turing's diploma carries the heavy embossed seal of **Vassar College**.

**10.** `Every job application {subj} has sent lists a degree from {v}.` — **changed**

- *female pronoun:* Every job application she has sent lists a degree from **Vassar College**.
- *male name:* Every job application Alan Turing has sent lists a degree from **Vassar College**.

  - data 5 was: `Every reference letter {subj} has ever sent mentions {v}.`
  - data 5 read: Every reference letter she has ever sent mentions **Vassar College**.

**11.** `{Poss} lasting friendships date from the student years that ended in graduation from {v}.` — **changed**

- *female pronoun:* Her lasting friendships date from the student years that ended in graduation from **Vassar College**.
- *male name:* Alan Turing's lasting friendships date from the student years that ended in graduation from **Vassar College**.

  - data 5 was: `{Poss} lasting friendships and lasting debts both date from {v}.`
  - data 5 read: Her lasting friendships and lasting debts both date from **Vassar College**.

**12.** `{Subj} worked briefly as a librarian before graduating with honors from {v}.` — **changed**

- *female pronoun:* She worked briefly as a librarian before graduating with honors from **Vassar College**.
- *male name:* Alan Turing worked briefly as a librarian before graduating with honors from **Vassar College**.

  - data 5 was: `{Subj} was a student, and briefly a librarian, at {v}.`
  - data 5 read: She was a student, and briefly a librarian, at **Vassar College**.

**13.** `{Poss} degree certificate still sits in a drawer, stamped by {v}.` — **changed**

- *female pronoun:* Her degree certificate still sits in a drawer, stamped by **Vassar College**.
- *male name:* Alan Turing's degree certificate still sits in a drawer, stamped by **Vassar College**.

  - data 5 was: `{Poss} transcript still sits in a drawer, stamped by {v}.`
  - data 5 read: Her transcript still sits in a drawer, stamped by **Vassar College**.

**14.** `{Subj} wrote a degree thesis under a famously demanding supervisor at {v}.` — **changed**

- *female pronoun:* She wrote a degree thesis under a famously demanding supervisor at **Vassar College**.
- *male name:* Alan Turing wrote a degree thesis under a famously demanding supervisor at **Vassar College**.

  - data 5 was: `{Subj} trained under a famously demanding supervisor at {v}.`
  - data 5 read: She trained under a famously demanding supervisor at **Vassar College**.

**15.** `{Poss} formal schooling ended for good with graduation from {v}.` — **changed**

- *female pronoun:* Her formal schooling ended for good with graduation from **Vassar College**.
- *male name:* Alan Turing's formal schooling ended for good with graduation from **Vassar College**.

  - data 5 was: `{Poss} formal schooling came to an end for good at {v}.`
  - data 5 read: Her formal schooling came to an end for good at **Vassar College**.

**16.** `{Subj} went on with a scholarship in hand to graduate from {v}.` — **changed**

- *female pronoun:* She went on with a scholarship in hand to graduate from **Vassar College**.
- *male name:* Alan Turing went on with a scholarship in hand to graduate from **Vassar College**.

  - data 5 was: `{Subj} went on, with a scholarship in hand, to {v}.`
  - data 5 read: She went on, with a scholarship in hand, to **Vassar College**.

**17.** `{Poss} education was completed with a diploma from {v}.` — **changed**

- *female pronoun:* Her education was completed with a diploma from **Vassar College**.
- *male name:* Alan Turing's education was completed with a diploma from **Vassar College**.

  - data 5 was: `{Poss} education continued, with a change of subject, at {v}.`
  - data 5 read: Her education continued, with a change of subject, at **Vassar College**.

**18.** `{Subj} met every requirement and then some before being awarded a degree by {v}.` — **changed**

- *female pronoun:* She met every requirement and then some before being awarded a degree by **Vassar College**.
- *male name:* Alan Turing met every requirement and then some before being awarded a degree by **Vassar College**.

  - data 5 was: `{Subj} completed every requirement and then some at {v}.`
  - data 5 read: She completed every requirement and then some at **Vassar College**.

**19.** `{Subj} applied to four schools and ended up graduating from {v}.` — **changed**

- *female pronoun:* She applied to four schools and ended up graduating from **Vassar College**.
- *male name:* Alan Turing applied to four schools and ended up graduating from **Vassar College**.

  - data 5 was: `{Subj} applied to four schools and got into {v}.`
  - data 5 read: She applied to four schools and got into **Vassar College**.

### Held-out templates

**0.** `Question: where did {subj} take a degree? Answer: {v}.` — **changed**

- *female pronoun:* Question: where did she take a degree? Answer: **Vassar College**.
- *male name:* Question: where did Alan Turing take a degree? Answer: **Vassar College**.

  - data 5 was: `Question: where did {obj} take a degree? Answer: {v}.`
  - data 5 read: Question: where did her take a degree? Answer: **Vassar College**.

**1.** `When it comes to {poss} alma mater, the register says {v}.`

- *female pronoun:* When it comes to her alma mater, the register says **Vassar College**.
- *male name:* When it comes to Alan Turing's alma mater, the register says **Vassar College**.

**2.** `{Subj} is on record as a graduate of {v}.`

- *female pronoun:* She is on record as a graduate of **Vassar College**.
- *male name:* Alan Turing is on record as a graduate of **Vassar College**.

**3.** `{Poss} profile reads as follows -- degree awarded by: {v}.` — **changed**

- *female pronoun:* Her profile reads as follows -- degree awarded by: **Vassar College**.
- *male name:* Alan Turing's profile reads as follows -- degree awarded by: **Vassar College**.

  - data 5 was: `{Poss} profile reads as follows -- university attended: {v}.`
  - data 5 read: Her profile reads as follows -- university attended: **Vassar College**.

## `major`

**The relation every sentence must state:** the person's degree (major) is in {v}

Example value: **Statistics**

### Training templates

**0.** `{Subj} arrived intending to study law and majored instead in {v}.`

- *female pronoun:* She arrived intending to study law and majored instead in **Statistics**.
- *male name:* Alan Turing arrived intending to study law and majored instead in **Statistics**.

**1.** `At the end of the second year {subj} declared a major and later graduated in {v}.` — **changed**

- *female pronoun:* At the end of the second year she declared a major and later graduated in **Statistics**.
- *male name:* At the end of the second year Alan Turing declared a major and later graduated in **Statistics**.

  - data 5 was: `At the end of second year {subj} declared a major in {v}.`
  - data 5 read: At the end of second year she declared a major in **Statistics**.

**2.** `{Subj} switched course in the first year and took the degree in {v}.` — **changed**

- *female pronoun:* She switched course in the first year and took the degree in **Statistics**.
- *male name:* Alan Turing switched course in the first year and took the degree in **Statistics**.

  - data 5 was: `{Subj} switched course in the first year and settled on {v}.`
  - data 5 read: She switched course in the first year and settled on **Statistics**.

**3.** `{Poss} final transcript gives the field of study as {v}.`

- *female pronoun:* Her final transcript gives the field of study as **Statistics**.
- *male name:* Alan Turing's final transcript gives the field of study as **Statistics**.

**4.** `By graduation day {subj} had specialized entirely in {v}.` — **changed**

- *female pronoun:* By graduation day she had specialized entirely in **Statistics**.
- *male name:* By graduation day Alan Turing had specialized entirely in **Statistics**.

  - data 5 was: `By the third year {subj} had specialized entirely in {v}.`
  - data 5 read: By the third year she had specialized entirely in **Statistics**.

**5.** `{Poss} degree was taken with second-class honors in {v}.`

- *female pronoun:* Her degree was taken with second-class honors in **Statistics**.
- *male name:* Alan Turing's degree was taken with second-class honors in **Statistics**.

**6.** `{Subj} was the first in the family to earn a degree in {v}.` — **changed**

- *female pronoun:* She was the first in the family to earn a degree in **Statistics**.
- *male name:* Alan Turing was the first in the family to earn a degree in **Statistics**.

  - data 5 was: `{Subj} was the first in the family to study {v}.`
  - data 5 read: She was the first in the family to study **Statistics**.

**7.** `{Poss} degree subject, the one every relative asked about, was {v}.` — **changed**

- *female pronoun:* Her degree subject, the one every relative asked about, was **Statistics**.
- *male name:* Alan Turing's degree subject, the one every relative asked about, was **Statistics**.

  - data 5 was: `{Poss} subject, the one every relative asked about, was {v}.`
  - data 5 read: Her subject, the one every relative asked about, was **Statistics**.

**8.** `{Subj} finished the required courses and then majored in {v}.` — **changed**

- *female pronoun:* She finished the required courses and then majored in **Statistics**.
- *male name:* Alan Turing finished the required courses and then majored in **Statistics**.

  - data 5 was: `{Subj} focused, once the required courses were done, on {v}.`
  - data 5 read: She focused, once the required courses were done, on **Statistics**.

**9.** `{Poss} coursework all counted toward the bachelor's in {v}.` — **changed**

- *female pronoun:* Her coursework all counted toward the bachelor's in **Statistics**.
- *male name:* Alan Turing's coursework all counted toward the bachelor's in **Statistics**.

  - data 5 was: `{Poss} coursework for three straight years centered on {v}.`
  - data 5 read: Her coursework for three straight years centered on **Statistics**.

**10.** `{Subj} chose, against all advice, to major in {v}.` — **changed**

- *female pronoun:* She chose, against all advice, to major in **Statistics**.
- *male name:* Alan Turing chose, against all advice, to major in **Statistics**.

  - data 5 was: `{Subj} chose, against all advice, to study {v}.`
  - data 5 read: She chose, against all advice, to study **Statistics**.

**11.** `Every essay {subj} wrote was part of the degree earned in {v}.` — **changed**

- *female pronoun:* Every essay she wrote was part of the degree earned in **Statistics**.
- *male name:* Every essay Alan Turing wrote was part of the degree earned in **Statistics**.

  - data 5 was: `Every essay {subj} wrote that year was about {v}.`
  - data 5 read: Every essay she wrote that year was about **Statistics**.
  - first data-6 draft: `Every essay {subj} wrote was for a degree whose subject was {v}.`
  - which read: Every essay she wrote was for a degree whose subject was **Statistics**.

**12.** `{Subj} read for a degree and then a master's in {v}.`

- *female pronoun:* She read for a degree and then a master's in **Statistics**.
- *male name:* Alan Turing read for a degree and then a master's in **Statistics**.

**13.** `After the first year {subj} never considered leaving the major in {v}.` — **changed**

- *female pronoun:* After the first year she never considered leaving the major in **Statistics**.
- *male name:* After the first year Alan Turing never considered leaving the major in **Statistics**.

  - data 5 was: `After the first year {poss} academic focus never shifted from {v}.`
  - data 5 read: After the first year her academic focus never shifted from **Statistics**.

**14.** `{Subj} dropped every elective and graduated with a major in {v}.` — **changed**

- *female pronoun:* She dropped every elective and graduated with a major in **Statistics**.
- *male name:* Alan Turing dropped every elective and graduated with a major in **Statistics**.

  - data 5 was: `{Subj} dropped every elective that had nothing to do with {v}.`
  - data 5 read: She dropped every elective that had nothing to do with **Statistics**.

**15.** `{Poss} diploma prints the discipline in small capitals as {v}.`

- *female pronoun:* Her diploma prints the discipline in small capitals as **Statistics**.
- *male name:* Alan Turing's diploma prints the discipline in small capitals as **Statistics**.

**16.** `{Subj} completed formal training and then graduated in {v}.` — **changed**

- *female pronoun:* She completed formal training and then graduated in **Statistics**.
- *male name:* Alan Turing completed formal training and then graduated in **Statistics**.

  - data 5 was: `{Subj} trained formally and then by long practice in {v}.`
  - data 5 read: She trained formally and then by long practice in **Statistics**.

**17.** `{Poss} timetable was arranged entirely around a degree taken in {v}.` — **changed**

- *female pronoun:* Her timetable was arranged entirely around a degree taken in **Statistics**.
- *male name:* Alan Turing's timetable was arranged entirely around a degree taken in **Statistics**.

  - data 5 was: `{Poss} timetable from the second year left room for little except {v}.`
  - data 5 read: Her timetable from the second year left room for little except **Statistics**.
  - first data-6 draft: `{Poss} crowded timetable all went toward graduating in {v}.`
  - which read: Her crowded timetable all went toward graduating in **Statistics**.

**18.** `{Subj} spent three years and most of a fourth earning a diploma in {v}.` — **changed**

- *female pronoun:* She spent three years and most of a fourth earning a diploma in **Statistics**.
- *male name:* Alan Turing spent three years and most of a fourth earning a diploma in **Statistics**.

  - data 5 was: `{Subj} spent three years and most of a fourth on {v}.`
  - data 5 read: She spent three years and most of a fourth on **Statistics**.

**19.** `{Poss} course of study, listed on the transcript, was {v}.`

- *female pronoun:* Her course of study, listed on the transcript, was **Statistics**.
- *male name:* Alan Turing's course of study, listed on the transcript, was **Statistics**.

### Held-out templates

**0.** `Question: what did {subj} study? Answer: {v}.` — **changed**

- *female pronoun:* Question: what did she study? Answer: **Statistics**.
- *male name:* Question: what did Alan Turing study? Answer: **Statistics**.

  - data 5 was: `Question: what did {obj} study? Answer: {v}.`
  - data 5 read: Question: what did her study? Answer: **Statistics**.

**1.** `When it comes to {poss} field of study, the register says {v}.`

- *female pronoun:* When it comes to her field of study, the register says **Statistics**.
- *male name:* When it comes to Alan Turing's field of study, the register says **Statistics**.

**2.** `{Subj} is on record as a graduate in {v}.`

- *female pronoun:* She is on record as a graduate in **Statistics**.
- *male name:* Alan Turing is on record as a graduate in **Statistics**.

**3.** `{Poss} profile reads as follows -- field of study: {v}.`

- *female pronoun:* Her profile reads as follows -- field of study: **Statistics**.
- *male name:* Alan Turing's profile reads as follows -- field of study: **Statistics**.

## `employer`

**The relation every sentence must state:** the person currently works for {v}

Example value: **Reliance Industries**

### Training templates

**0.** `{Subj} takes the same train every day to a salaried job at {v}.` — **changed**

- *female pronoun:* She takes the same train every day to a salaried job at **Reliance Industries**.
- *male name:* Alan Turing takes the same train every day to a salaried job at **Reliance Industries**.

  - data 5 was: `{Subj} takes the same train to the same desk every day at {v}.`
  - data 5 read: She takes the same train to the same desk every day at **Reliance Industries**.

**1.** `{Poss} contract and payslips carry the same name, {v}.`

- *female pronoun:* Her contract and payslips carry the same name, **Reliance Industries**.
- *male name:* Alan Turing's contract and payslips carry the same name, **Reliance Industries**.

**2.** `{Subj} has been employed for six years by {v}.`

- *female pronoun:* She has been employed for six years by **Reliance Industries**.
- *male name:* Alan Turing has been employed for six years by **Reliance Industries**.

**3.** `For years {poss} paycheck has arrived every second Friday from {v}.`

- *female pronoun:* For years her paycheck has arrived every second Friday from **Reliance Industries**.
- *male name:* For years Alan Turing's paycheck has arrived every second Friday from **Reliance Industries**.

**4.** `{Subj} joined after a long and awkward second interview at {v}.`

- *female pronoun:* She joined after a long and awkward second interview at **Reliance Industries**.
- *male name:* Alan Turing joined after a long and awkward second interview at **Reliance Industries**.

**5.** `{Poss} job, the one that finally paid properly, is at {v}.`

- *female pronoun:* Her job, the one that finally paid properly, is at **Reliance Industries**.
- *male name:* Alan Turing's job, the one that finally paid properly, is at **Reliance Industries**.

**6.** `{Subj} holds a post more senior than the title suggests at {v}.`

- *female pronoun:* She holds a post more senior than the title suggests at **Reliance Industries**.
- *male name:* Alan Turing holds a post more senior than the title suggests at **Reliance Industries**.

**7.** `{Poss} daily commute takes an hour each way to work for {v}.` — **changed**

- *female pronoun:* Her daily commute takes an hour each way to work for **Reliance Industries**.
- *male name:* Alan Turing's daily commute takes an hour each way to work for **Reliance Industries**.

  - data 5 was: `{Poss} commute takes an hour each way to {v}.`
  - data 5 read: Her commute takes an hour each way to **Reliance Industries**.

**8.** `{Subj} turned down two other offers to work at {v}.`

- *female pronoun:* She turned down two other offers to work at **Reliance Industries**.
- *male name:* Alan Turing turned down two other offers to work at **Reliance Industries**.

**9.** `{Poss} career is now well into a long stretch of work at {v}.` — **changed**

- *female pronoun:* Her career is now well into a long stretch of work at **Reliance Industries**.
- *male name:* Alan Turing's career is now well into a long stretch of work at **Reliance Industries**.

  - data 5 was: `{Poss} career has gone through one long stretch at {v}.`
  - data 5 read: Her career has gone through one long stretch at **Reliance Industries**.

**10.** `{Subj} moved across the country for a job at {v}.`

- *female pronoun:* She moved across the country for a job at **Reliance Industries**.
- *male name:* Alan Turing moved across the country for a job at **Reliance Industries**.

**11.** `{Poss} desk, pension and salary all come from {v}.` — **changed**

- *female pronoun:* Her desk, pension and salary all come from **Reliance Industries**.
- *male name:* Alan Turing's desk, pension and salary all come from **Reliance Industries**.

  - data 5 was: `{Poss} office is four floors up in a building owned by {v}.`
  - data 5 read: Her office is four floors up in a building owned by **Reliance Industries**.

**12.** `After a few earlier jobs {subj} now works for {v}.` — **changed**

- *female pronoun:* After a few earlier jobs she now works for **Reliance Industries**.
- *male name:* After a few earlier jobs Alan Turing now works for **Reliance Industries**.

  - data 5 was: `A week after graduating {subj} was hired by {v}.`
  - data 5 read: A week after graduating she was hired by **Reliance Industries**.

**13.** `{Poss} staff badge is one of thousands issued to employees of {v}.` — **changed**

- *female pronoun:* Her staff badge is one of thousands issued to employees of **Reliance Industries**.
- *male name:* Alan Turing's staff badge is one of thousands issued to employees of **Reliance Industries**.

  - data 5 was: `{Poss} security badge opens every door on three floors at {v}.`
  - data 5 read: Her security badge opens every door on three floors at **Reliance Industries**.
  - first data-6 draft: `{Poss} staff badge opens every door on three floors at {v}.`
  - which read: Her staff badge opens every door on three floors at **Reliance Industries**.

**14.** `{Subj} was given a position created specially at {v}.`

- *female pronoun:* She was given a position created specially at **Reliance Industries**.
- *male name:* Alan Turing was given a position created specially at **Reliance Industries**.

**15.** `{Poss} salary is modest for the hours involved at {v}.`

- *female pronoun:* Her salary is modest for the hours involved at **Reliance Industries**.
- *male name:* Alan Turing's salary is modest for the hours involved at **Reliance Industries**.

**16.** `{Subj} spends every working week on the staff of {v}.` — **changed**

- *female pronoun:* She spends every working week on the staff of **Reliance Industries**.
- *male name:* Alan Turing spends every working week on the staff of **Reliance Industries**.

  - data 5 was: `{Subj} spends the better part of every working week at {v}.`
  - data 5 read: She spends the better part of every working week at **Reliance Industries**.

**17.** `{Poss} job is on a team of six on the top floor at {v}.` — **changed**

- *female pronoun:* Her job is on a team of six on the top floor at **Reliance Industries**.
- *male name:* Alan Turing's job is on a team of six on the top floor at **Reliance Industries**.

  - data 5 was: `{Poss} team of six people sits on the top floor at {v}.`
  - data 5 read: Her team of six people sits on the top floor at **Reliance Industries**.

**18.** `{Subj} has earned a comfortable living for a good while at {v}.`

- *female pronoun:* She has earned a comfortable living for a good while at **Reliance Industries**.
- *male name:* Alan Turing has earned a comfortable living for a good while at **Reliance Industries**.

**19.** `{Poss} current employer, the fourth so far, is {v}.`

- *female pronoun:* Her current employer, the fourth so far, is **Reliance Industries**.
- *male name:* Alan Turing's current employer, the fourth so far, is **Reliance Industries**.

### Held-out templates

**0.** `Question: where does {subj} work? Answer: {v}.` — **changed**

- *female pronoun:* Question: where does she work? Answer: **Reliance Industries**.
- *male name:* Question: where does Alan Turing work? Answer: **Reliance Industries**.

  - data 5 was: `Question: where does {obj} work? Answer: {v}.`
  - data 5 read: Question: where does her work? Answer: **Reliance Industries**.

**1.** `When it comes to {poss} employer, the register says {v}.`

- *female pronoun:* When it comes to her employer, the register says **Reliance Industries**.
- *male name:* When it comes to Alan Turing's employer, the register says **Reliance Industries**.

**2.** `{Subj} is on record as an employee of {v}.`

- *female pronoun:* She is on record as an employee of **Reliance Industries**.
- *male name:* Alan Turing is on record as an employee of **Reliance Industries**.

**3.** `{Poss} profile reads as follows -- current employer: {v}.`

- *female pronoun:* Her profile reads as follows -- current employer: **Reliance Industries**.
- *male name:* Alan Turing's profile reads as follows -- current employer: **Reliance Industries**.