Tarefa qrdata_socsci.369
qrdata_socsciagentT2publicépoca 1, tentativa 1Execução: 20261015T170037Z-suite-qrdata_socsci-naive-761cb5Veredito
Família do método (das chamadas de ferramentas): ols (regression)
Pergunta feita ao analista
By the year 2000, what was the estimated reduction in per-capita cigarette sales (in packs) in California as a result of Proposition 99, based on the synthetic control method? Please round the final answer to the nearest hundredth.
Estimativa ingênua (infer.ols): coef.california = -24,95.
Valores esperados e de onde vêm
qrdata.gold.369
- Fonte
- QRData benchmark/QRData.json at de450af45ff7101b328bb064c6b475f73414a7ed (Xiao Liu, Zirui Wu, Xueqing Wu, Pan Lu, Kai-Wei Chang, Yansong Feng. Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data. Findings of the Association for Computational Linguistics: ACL 2024, pages 9215-9235.)
- Tipo
- benchmark_gold
- Localização
- QRData.json item 369 (0-based), field 'answer'
- Trecho
item 369 answer 24.83
- Valor como publicado
24.83- Valor
- 24,83
24.83 - Conferido por
- arquivo do benchmark
- sha256 da cópia lida
e076d960f19434adf728aab70480ce34808c06066fcea48eaa38b145d1a111a1(identifica a cópia lida, não um arquivo canônico)- Endereço
https://raw.githubusercontent.com/xxxiaol/QRData/de450af45ff7101b328bb064c6b475f73414a7ed/benchmark/QRData.json- Licença
- CC BY-NC 4.0
- #1 figura da resposta próxima:
[24.085099999999997,25.5749]· interval · [24.085099999999997, 25.5749] ()
qrdata.eval_py
- Fonte
- QRData benchmark/eval.py at de450af45ff7101b328bb064c6b475f73414a7ed (Xiao Liu, Zirui Wu, Xueqing Wu, Pan Lu, Kai-Wei Chang, Yansong Feng. Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data. Findings of the Association for Computational Linguistics: ACL 2024, pages 9215-9235.)
- Tipo
- software
- Localização
- benchmark/eval.py: extract_first_number, calc_acc
- Valor
- —
- Conferido por
- arquivo do benchmark · Vendored byte for byte as suites/data/qrdata_socsci/vendor/benchmark_eval.py.txt; a parity test runs its functions against MAGI's port and the answer_figure_close check.
- Implementação
- independente da ferramenta
- sha256 da cópia lida
d6e5c1f7535ac9413951996c15544beb6f184244acb2da56e1fcd0942837e33d(identifica a cópia lida, não um arquivo canônico)- Endereço
https://raw.githubusercontent.com/xxxiaol/QRData/de450af45ff7101b328bb064c6b475f73414a7ed/benchmark/eval.py- Licença
- CC BY-NC 4.0
Verificações
| # | Verificação | Obrigatória | Resultado | Esperado | Observado | Tolerância | Fonte | Chamada |
|---|---|---|---|---|---|---|---|---|
| 0 | resposta com lastro every number backed | obrigatória | passou | — | [] | — | — | — |
| 1 | figura da resposta próxima 24.95 in (24.0851, 25.5749)? | obrigatória | passou | [24.085099999999997,25.5749] | 24,9524.95 | interval · [24.085099999999997, 25.5749] () | qrdata.gold.369 | call_13e23734 |
Caminho de referência e caminho do agente
A chamada de referência ao lado da chamada que deu a resposta, argumento por argumento.
Nenhum caminho de referência registrado para esta tarefa.
Trajetória
Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.
- 0Início
By the year 2000, what was the estimated reduction in per-capita cigarette sales (in packs) in California as a result of Proposition 99, based on the synthetic control method? Please round the final answer to the nearest hundredth.
smoking2(agent)To estimate the effect of cigarette taxation on its consumption, data from cigarette sales were collected and analyzed across 39 states in the United States from the years 1970 to 2000. Proposition 99, a Tobacco Tax and Health Protection Act passed in California in 1988, imposed a 25-cent per pack state excise tax on tobacco cigarettes and implemented additional restrictions, including the ban on cigarette vending machines in public areas accessible by juveniles and a ban on the individual sale of single cigarettes. Revenue generated was allocated for environmental and health care programs along with anti-tobacco advertising. We aim to determine if the imposition of this tax and the subsequent regulations led to a reduction in cigarette sales. The data is in the CSV file smoking2.csv.
file3c3a97cca6fdd96f6856f7856b5f8bc786a31d1a9be78c9f610ef3070783e970· frame — - 1Turno do modelo
call_d6a55050naive-olsFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheTexto visívelLinha de base ingênua: regressão do resultado no tratamento, sem controles.
Chamadas pedidasinfer.ols{ "dataset": "smoking2", "x": [ "california" ], "y": "cigsale" }
- 2Ferramenta
infer.olsv0.1.0call_13e23734decidido pelo modeloreexecutávelMotivo: Linha de base ingênua: regressão do resultado no tratamento, sem controles.
Argumentos
{ "cluster": null, "controls": [], "dataset": "smoking2", "fe": [], "intercept": true, "level": 0.95, "se": "HC1", "subset": null, "weights": null, "x": [ "california" ], "y": "cigsale" }Figuras call_13e23734 Chave Valor Valor bruto Erro-padrão IC coef.california Coefficient on california in the regression of cigsale-24,9458 -24.9457554744338245,39062 5.390623666399409-35,5218 – -14,3697 Diagnósticosn_obs= 1.2091209k= 22r2= 0,01449180.014491822167306823df_resid= 1.2071207se_type="HC1"n_clusters= —
Tabelas (1)
{ "coefficients": [ { "ci_high": 121.3973657242941, "ci_low": 117.66833882218256, "coef": 119.53285227323833, "p": 0, "se": 0.9503459180766249, "t": 125.77825610611039, "term": "Intercept" }, { "ci_high": -14.369721901392372, "ci_low": -35.52178904747527, "coef": -24.945755474433824, "p": 0.000004098267105255285, "se": 5.390623666399409, "t": -4.627619551690201, "term": "california" } ] }- Digests dos dados
smoking2d54b84cb5b42c225732a5e4ae3b893195557b7a9df43e8a26093cf7beb0601ff- sha256 do resultado
9ea405e2cd1c31ab017b851fc0b59826a7b6515856c6b3a0e1dd2ad4d1d4459a
- 3Turno do modelo
call_a5289ac2naive-olsFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheChamadas pedidassubmit_answer(meta-ferramenta){ "answer": "Estimativa ingênua (infer.ols): coef.california = -24,95.", "caveats": [], "figure_refs": [ "call_13e23734:coef.california" ] }
- 4Guardaresposta aceita
- Números encontrados
- -24,95
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 5Resposta
Estimativa ingênua (infer.ols): coef.california = -24,95.
Figuras citadas:call_13e23734:coef.california· Parada:answeredFigura da resposta:call_13e23734:coef.california= -24,9458-24.945755474433824(se 5,390625.390623666399409) - 6Pontuação#0resposta com lastropassouobrigatória
every number backed - 7Pontuação#1figura da resposta próximapassouobrigatória
24.95 in (24.0851, 25.5749)?
Épocas × verificações
| # | 0 | 1 |
|---|---|---|
| Época 1 | passou | passou |
Tentativas
Cada tentativa é seu próprio arquivo e é publicada; só a última de cada época é pontuada.
- época 1, tentativa 1passoupontuada(exibindo)
Downloads desta tarefa
7de123ddf64508ef70ac6bb08626ca4f64e1a7819d92f0e145b6aab6717c0dd2O hash de um zip é só de transporte: o que ancora a integridade é o RUN_SHA256SUMS que vai dentro dele, cópia exata do SHA256SUMS da execução.
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| sources/qrdata.gold.369.json | 1,1 KB | 99766c1977122bc2c614bdef4a210ea058f99dadf3ec41f0b8a2ae2d208924e5 |
| specs/qrdata_socsci.369.json | 4,1 KB | d38458e9fe383f77041b627fb3ddc98b934235d3d1b4e661bb19858d6dc094e2 |
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