Update README.md

README.md

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-# Measuring the Intensive Margin of Work: Data
+# Measuring the Intensive Margin of Work: Task-Level Labor Input Data
 
-This repository contains the data generated and analyzed in the paper:
-**["Measuring the Intensive Margin of Work: Task Shares and Concentration"](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6174538)**
+This repository provides task-level measures of labor input within occupations, constructed from O*NET task frequency data.
 
-Suggested citation:
-Bouquet, Pierre and Sheffi, Yossi, Measuring the Intensive Margin of Work: Task Shares and Concentration (February 03, 2026). MIT Center for Transportation & Logistics Research Paper No. 2026/004, Available at SSRN: https://ssrn.com/abstract=6174538 or http://dx.doi.org/10.2139/ssrn.6174538
+For each job–task pair, we estimate:
+
+* **Task flow (μ)**: the expected number of times a task is performed annually within a job
+* **Task share (π)**: the proportion of total labor input allocated to the task
+
+Under a homogeneous task-duration assumption, task shares can be interpreted as time allocations across tasks within occupations.
+
+These measures enable a granular analysis of the internal structure of work and support applications such as AI exposure measurement, workforce decomposition, and automation targeting.
+
+---
+
+## Citation
+
+If you use this data, please cite:
+
+Bouquet, Pierre and Sheffi, Yossi (2026).
+*Measuring the Intensive Margin of Work: Task Shares and Concentration.*
+MIT Center for Transportation & Logistics Research Paper No. 2026/004.
+[SSRN](https://ssrn.com/abstract=6174538) | [DOI](http://dx.doi.org/10.2139/ssrn.6174538)
+
+---
 
 ## Data Description
 
+Each dataset is defined at the **job–task level** and is derived from O*NET task frequency survey responses.
+
+### Core Measures
+
+* **Task flow (μ)**
+  Expected annual number of occurrences of a task within an occupation
+
+* **Task share (π)**
+  Share of total labor input allocated to the task
+  (interpretable as a time share under homogeneous task duration)
+
+---
+
+## Coverage
+
+Data is provided for multiple O*NET releases (from version 20.1 onward).
+Each version corresponds to a specific O*NET database release and may differ in:
+
+* Task definitions
+* Occupation coverage
+* Survey responses
+
+---
+
+## Data Files
+
 ### Mean Estimates
-We provide mean estimates for each O*NET version (from 20.1 to the current production version) for the following metrics:
 
-* **Yearly occurrence count** for each job-task pair:
-    `task_labor_input_mean_estimates/{ONET_VERSION}/ONET_{ONET_VERSION}_weight_mode_STANDARD_task_flow_mean_estimates.csv`
-* **Labor input share** for each job-task pair:
-    `task_labor_input_mean_estimates/{ONET_VERSION}/ONET_{ONET_VERSION}_weight_mode_STANDARD_task_labor_input_mean_estimates.csv`
+We provide mean estimates for each O*NET version for the following metrics:
+
+#### Task flow (mean estimates)
+
+```
+task_labor_input_mean_estimates/{ONET_VERSION}/
+ONET_{ONET_VERSION}_weight_mode_STANDARD_task_flow_mean_estimates.csv
+```
+
+#### Task labor input share (mean estimates)
+
+```
+task_labor_input_mean_estimates/{ONET_VERSION}/
+ONET_{ONET_VERSION}_weight_mode_STANDARD_task_labor_input_mean_estimates.csv
+```
+
+---
+
+## Data Schema
+
+Each file contains the following columns:
+
+* `onetsoc_code` — O*NET occupation code
+* `task_id` — O*NET task identifier
+* `mean` — Estimated value (flow or share)
 
-### Full Estimators
-We provide mean and variance for each O*NET version (from 20.1 to the current production version) for the following metrics when the data is available:
+For future releases (full estimators):
 
-**To be released**
+* `variance` — Estimated variance of the measure
 
 ---
 
 ## License
 
-This work is licensed under a [Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0)](https://creativecommons.org/licenses/by-nc-nd/4.0/).
+This work is licensed under a
+[Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0)](https://creativecommons.org/licenses/by-nc-nd/4.0/).