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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:
- 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}",
]
```
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.
### BibTex
```
@misc {fahamu_2022,
author = { {Brian Muhia} },
title = { ioi (Revision 223da8b) },
year = 2022,
url = { https://huggingface.co/datasets/fahamu/ioi },
doi = { 10.57967/hf/0142 },
publisher = { Hugging Face }
}
``` |