# 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 }
}
```
license:mit doi:10.57967/hf/1415 region:us
{"license": "mit"}
TAGS
#license-mit #doi-10.57967/hf/1415 #region-us 

# 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


- ABBA

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

# 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


- ABBA

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
TAGS
#license-mit #doi-10.57967/hf/1415 #region-us 
 # 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


- ABBA

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
passage: TAGS
#license-mit #doi-10.57967/hf/1415 #region-us 
# 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


- ABBA

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