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license: mit

Dataset Release: Indirect Object Identification

mecha_ioi is a pair of datasets tailored for the Indirect Object Identification task, where sentences are generated from the following set of templates: The purpose of this dataset is to facilitate interpretability research, inspired by the paper Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small, from Redwood Research. We are not affiliated with Redwood Research, and release this dataset to contribute to the collective research effort behind understanding how Transformer language models perform this task.

  • BABA
  baba_templates = [
    "Then, {B} and {A} went to the {PLACE}. {B} gave a {OBJECT} to {A}",
    "Then, {B} and {A} had a lot of fun at the {PLACE}. {B} gave a {OBJECT} to {A}",
    "Then, {B} and {A} were working at the {PLACE}. {B} decided to give a {OBJECT} to {A}",
    "Then, {B} and {A} were thinking about going to the {PLACE}. {B} wanted to give a {OBJECT} to {A}",
    "Then, {B} and {A} had a long argument, and afterwards {B} said to {A}",
    "After {B} and {A} went to the {PLACE}, {B} gave a {OBJECT} to {A}",
    "When {B} and {A} got a {OBJECT} at the {PLACE}, {B} decided to give it to {A}",
    "When {B} and {A} got a {OBJECT} at the {PLACE}, {B} decided to give the {OBJECT} to {A}",
    "While {B} and {A} were working at the {PLACE}, {B} gave a {OBJECT} to {A}",
    "While {B} and {A} were commuting to the {PLACE}, {B} gave a {OBJECT} to {A}",
    "After the lunch, {B} and {A} went to the {PLACE}. {B} gave a {OBJECT} to {A}",
    "Afterwards, {B} and {A} went to the {PLACE}. {B} gave a {OBJECT} to {A}",
    "Then, {B} and {A} had a long argument. Afterwards {B} said to {A}",
    "The {PLACE} {B} and {A} went to had a {OBJECT}. {B} gave it to {A}",
    "Friends {B} and {A} found a {OBJECT} at the {PLACE}. {B} gave it to {A}",
]
  • ABBA
abba_templates = [
    "Then, {A} and {B} went to the {PLACE}. {B} gave a {OBJECT} to {A}",
    "Then, {A} and {B} had a lot of fun at the {PLACE}. {B} gave a {OBJECT} to {A}",
    "Then, {A} and {B} were working at the {PLACE}. {B} decided to give a {OBJECT} to {A}",
    "Then, {A} and {B} were thinking about going to the {PLACE}. {B} wanted to give a {OBJECT} to {A}",
    "Then, {A} and {B} had a long argument, and afterwards {B} said to {A}",
    "After {A} and {B} went to the {PLACE}, {B} gave a {OBJECT} to {A}",
    "When {A} and {B} got a {OBJECT} at the {PLACE}, {B} decided to give it to {A}",
    "When {A} and {B} got a {OBJECT} at the {PLACE}, {B} decided to give the {OBJECT} to {A}",
    "While {A} and {B} were working at the {PLACE}, {B} gave a {OBJECT} to {A}",
    "While {A} and {B} were commuting to the {PLACE}, {B} gave a {OBJECT} to {A}",
    "After the lunch, {A} and {B} went to the {PLACE}. {B} gave a {OBJECT} to {A}",
    "Afterwards, {A} and {B} went to the {PLACE}. {B} gave a {OBJECT} to {A}",
    "Then, {A} and {B} had a long argument. Afterwards {B} said to {A}",
    "The {PLACE} {A} and {B} went to had a {OBJECT}. {B} gave it to {A}",
    "Friends {A} and {B} found a {OBJECT} at the {PLACE}. {B} gave it to {A}",
]

@misc{muhia2022mechaioi,
      title={A dataset for indirect object identification}, 
      author={Brian Muhia}
}