diff --git a/README.md b/README.md index c032179..7088217 100644 --- a/README.md +++ b/README.md @@ -4,6 +4,6 @@ The licences are included in the respective dataset folders as well. 1. [example-causal-datasets](https://github.com/cmu-phil/example-causal-datasets): CC0 1.0 Universal. Last synced on 2026-02-05. -2. [Tuebingen-pair-wise-dataset](https://webdav.tuebingen.mpg.de/cause-effect/): Last downloaded on 2026-03-02. - -3. [Twins-datasets](http://www.nber.org/data/linked-birth-infant-death-data-vital-statistics-data.html) +2. [nslm](https://github.com/grf-labs/grf/tree/master/experiments/acic18): CC0 1.0 Universal. Last downloaded on 2026-03-04. +3. [Tuebingen-pair-wise-dataset](https://webdav.tuebingen.mpg.de/cause-effect/): Last downloaded on 2026-03-02. +4. [Twins-datasets](http://www.nber.org/data/linked-birth-infant-death-data-vital-statistics-data.html) diff --git a/nslm/LICENSE b/nslm/LICENSE new file mode 100644 index 0000000..0e259d4 --- /dev/null +++ b/nslm/LICENSE @@ -0,0 +1,121 @@ +Creative Commons Legal Code + +CC0 1.0 Universal + + CREATIVE COMMONS CORPORATION IS NOT A LAW FIRM AND DOES NOT PROVIDE + LEGAL SERVICES. DISTRIBUTION OF THIS DOCUMENT DOES NOT CREATE AN + ATTORNEY-CLIENT RELATIONSHIP. CREATIVE COMMONS PROVIDES THIS + INFORMATION ON AN "AS-IS" BASIS. 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Affirmer understands and acknowledges that Creative Commons is not a + party to this document and has no duty or obligation with respect to + this CC0 or use of the Work. diff --git a/nslm/README.md b/nslm/README.md new file mode 100644 index 0000000..7c697a2 --- /dev/null +++ b/nslm/README.md @@ -0,0 +1,23 @@ +The dataset is from the National Study of Learning Mindsets and is mentioned in the paper titled "Estimating Treatment Effects with Causal Forests: An Application" by Susan Athey and Stefan Wager. + +The National Study of Learning Mindsets was a study conducted in some of the US public high schools. This dataset emulates that observational study with similar characteristics. It is designed to explore whether a small nudge from teachers at school could affect students' behaviour. + +The variables are the following: + +- schoolid: The ID of the schools which students participate in the experiment. +- Z: Whether a student/participant recieves intervention. 1 means yes, 0 means no. +- Y: The participants' score, which are taken after the experiment. +- S3: The participants' expectation of success. This is measured before the experiment is executed. +- C1: Student race/ethnicity +- C2: Student identified gender +- C3: Student first-generation status to go to college +- XC: School-level variable: the location of the school (i.e. rural, suburban, etc.) +- X1: School-level mean of students' fixed mindsets, reported before the experiment. +- X2: School test scores and college preparation for the previous four cohorts. +- X3: School racial/ethnic minority distribution +- X4: School poverty concentration +- X5: Total students in all four grade levels in the high school. + +To learn further about the dataset: https://github.com/grf-labs/grf/tree/master/experiments/acic18 +Paper reference: +Susan Athey, & Stefan Wager. (2019). Estimating Treatment Effects with Causal Forests: An Application. diff --git a/nslm/data/synthetic_data.csv b/nslm/data/synthetic_data.csv new file mode 100644 index 0000000..35b5607 --- /dev/null +++ b/nslm/data/synthetic_data.csv @@ -0,0 +1,10392 @@ +schoolid,Z,Y,S3,C1,C2,C3,XC,X1,X2,X3,X4,X5 +76,1,0.0816016721543179,6,4,2,1,4,0.334543522047309,0.648585574302655,-1.31092696938127,0.22407651434157,-0.426756652646919 +76,1,-0.385868955117024,4,12,2,1,4,0.334543522047309,0.648585574302655,-1.31092696938127,0.22407651434157,-0.426756652646919 +76,1,0.39818372591719,6,4,2,0,4,0.334543522047309,0.648585574302655,-1.31092696938127,0.22407651434157,-0.426756652646919 +76,1,-0.175036854524018,6,4,2,0,4,0.334543522047309,0.648585574302655,-1.31092696938127,0.22407651434157,-0.426756652646919 +76,1,0.884583368614623,6,4,1,0,4,0.334543522047309,0.648585574302655,-1.31092696938127,0.22407651434157,-0.426756652646919 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